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docker/README.md
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docker/README.md
@ -1,197 +0,0 @@
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# GhydraMCP Docker Setup
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This directory contains Docker configuration for running GhydraMCP in headless mode.
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## Quick Start
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```bash
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# Build the image
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docker build -t ghydramcp:latest -f docker/Dockerfile .
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# Analyze a binary
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docker run -p 8192:8192 -v /path/to/binaries:/binaries ghydramcp /binaries/sample.exe
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# Check API health
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curl http://localhost:8192/
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```
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## Architecture
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The Docker container includes:
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1. **Ghidra 11.4.2** - Full headless installation
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2. **GhydraMCP Extension** - The Java plugin (installed in Extensions/)
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3. **GhydraMCPServer.py** - Headless HTTP server (Jython, full API parity)
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### Why Two HTTP Servers?
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The GhydraMCP plugin (`GhydraMCPPlugin.java`) is a full Ghidra GUI plugin that requires:
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- Ghidra's `PluginTool` framework
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- `ProgramManager` service for program access
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- GUI event handling
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These GUI services don't exist in headless mode. Instead, the container uses `GhydraMCPServer.py`, a Jython script that:
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- Runs via `analyzeHeadless -postScript`
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- Has direct access to `currentProgram` from the script context
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- Provides **full API parity** with the GUI plugin (45 routes)
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- Supports all read and write operations
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### Available Endpoints (Headless Mode)
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The headless server implements the complete GhydraMCP HTTP API:
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| Category | Endpoints | Description |
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|----------|-----------|-------------|
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| **Info** | `GET /`, `/info`, `/program` | API info, program metadata |
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| **Functions** | `GET /functions`, `/functions/{addr}`, `/functions/by-name/{name}` | List and detail |
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| **Decompile** | `GET /functions/{addr}/decompile`, `/functions/by-name/{name}/decompile` | C pseudocode |
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| **Disassembly** | `GET /functions/{addr}/disassembly`, `/functions/by-name/{name}/disassembly` | Assembly listing |
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| **Data** | `GET /data`, `/strings` | Defined data and strings |
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| **Memory** | `GET /memory`, `/memory/blocks` | Read bytes, list segments |
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| **Xrefs** | `GET /xrefs` | Cross-references (to/from) |
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| **Structs** | `GET /structs` | Data type structures |
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| **Symbols** | `GET /symbols`, `/imports`, `/exports` | Symbol tables |
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| **Analysis** | `GET /analysis/callgraph`, `/analysis/dataflow` | Static analysis |
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| **Write Ops** | `PATCH /functions/*`, `POST /data`, `POST /structs/*` | Rename, annotate, create |
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See [GHIDRA_HTTP_API.md](../GHIDRA_HTTP_API.md) for the complete API specification.
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## Container Modes
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### Headless Mode (Default)
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Imports a binary, analyzes it, and starts the HTTP API server:
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```bash
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docker run -p 8192:8192 \
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-v ./samples:/binaries \
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ghydramcp /binaries/sample.exe
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```
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### Server Mode
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Opens an existing project and program:
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```bash
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docker run -p 8192:8192 \
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-e GHYDRA_MODE=server \
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-v ./projects:/projects \
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ghydramcp program_name
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```
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### Analyze Mode
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Imports and analyzes without starting HTTP server:
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```bash
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docker run \
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-e GHYDRA_MODE=analyze \
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-v ./samples:/binaries \
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-v ./projects:/projects \
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ghydramcp /binaries/sample.exe
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```
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### Shell Mode
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Interactive debugging:
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```bash
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docker run -it \
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-e GHYDRA_MODE=shell \
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ghydramcp
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```
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## Environment Variables
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| Variable | Default | Description |
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|----------|---------|-------------|
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| `GHYDRA_MODE` | `headless` | Container mode (headless, server, analyze, shell) |
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| `GHYDRA_PORT` | `8192` | HTTP API port |
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| `GHYDRA_MAXMEM` | `2G` | JVM heap memory |
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| `PROJECT_DIR` | `/projects` | Ghidra project directory |
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| `PROJECT_NAME` | `GhydraMCP` | Ghidra project name |
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## Docker Compose
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Use docker-compose for easier management:
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```bash
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# Development mode (hot-reload scripts)
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docker compose --profile dev up ghydramcp-dev
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# Production mode
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docker compose --profile prod up ghydramcp
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# Interactive shell
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docker compose --profile debug run --rm ghydramcp-shell
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```
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## MCP Integration
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The GhydraMCP Python server includes Docker management tools:
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```python
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# Check Docker status
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await docker_status()
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# Start container for a binary
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await docker_start(binary_path="/path/to/binary.exe", port=8192)
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# Wait for container to be ready
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await docker_wait(port=8192, timeout=300)
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# Automatic mode - starts container if no Ghidra available
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await docker_auto_start(binary_path="/path/to/binary.exe")
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# Get container logs
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await docker_logs("ghydramcp-server")
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# Stop container
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await docker_stop("ghydramcp-server")
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||||
```
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||||
## Building
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||||
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```bash
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# Using Make
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make build
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# Using Docker directly
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docker build -t ghydramcp:latest -f docker/Dockerfile .
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# Build with specific Ghidra version
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docker build -t ghydramcp:latest \
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--build-arg GHIDRA_VERSION=11.4.2 \
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--build-arg GHIDRA_DATE=20250826 \
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-f docker/Dockerfile .
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||||
```
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## Troubleshooting
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||||
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||||
### Container starts but API doesn't respond
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||||
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||||
Analysis takes time. Monitor progress with:
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||||
```bash
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docker logs -f ghydramcp-server
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||||
```
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||||
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||||
### Port already in use
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||||
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||||
Stop existing containers:
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||||
```bash
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docker stop $(docker ps -q --filter "name=ghydramcp")
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||||
```
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||||
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||||
### Memory issues with large binaries
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||||
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||||
Increase JVM heap:
|
||||
```bash
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||||
docker run -e GHYDRA_MAXMEM=4G -p 8192:8192 ghydramcp /binaries/large.exe
|
||||
```
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||||
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||||
### Permission denied on volumes
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||||
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||||
The container runs as user `ghidra` (UID 1001). Ensure volume permissions:
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||||
```bash
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||||
sudo chown -R 1001:1001 /path/to/binaries
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||||
```
|
||||
@ -11,7 +11,6 @@ dependencies = [
|
||||
"mcp>=1.22.0",
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||||
"requests>=2.32.3",
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||||
"fastmcp>=2.0.0",
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||||
"fastmcp-feedback>=1.0.0",
|
||||
]
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||||
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||||
[project.scripts]
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||||
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||||
@ -72,24 +72,9 @@ class GhydraConfig:
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||||
cursor_ttl_seconds: int = 300 # 5 minutes
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||||
max_cursors_per_session: int = 100
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||||
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||||
# Response size limits (for return_all guard)
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||||
max_response_tokens: int = 8000 # Hard budget — guard triggers above this
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||||
large_response_threshold: int = 4000 # Warn above this in normal pagination
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||||
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||||
# Expected API version
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||||
expected_api_version: int = 2
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||||
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||||
# Feedback collection
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||||
feedback_enabled: bool = field(
|
||||
default_factory=lambda: os.environ.get("GHYDRA_FEEDBACK", "true").lower() == "true"
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||||
)
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||||
feedback_db_path: str = field(
|
||||
default_factory=lambda: os.environ.get(
|
||||
"GHYDRA_FEEDBACK_DB",
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||||
str(Path.home() / ".ghydramcp" / "feedback.db"),
|
||||
)
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||||
)
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||||
|
||||
# Resource caps for enumeration endpoints
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||||
resource_caps: dict = field(default_factory=lambda: {
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"functions": 1000,
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||||
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||||
@ -24,11 +24,6 @@ from .progress import (
|
||||
report_progress,
|
||||
report_step,
|
||||
)
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||||
from .filtering import (
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||||
project_fields,
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apply_grep,
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estimate_and_guard,
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||||
)
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||||
from .logging import (
|
||||
log_info,
|
||||
log_debug,
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||||
@ -55,10 +50,6 @@ __all__ = [
|
||||
"ProgressReporter",
|
||||
"report_progress",
|
||||
"report_step",
|
||||
# Filtering
|
||||
"project_fields",
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||||
"apply_grep",
|
||||
"estimate_and_guard",
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||||
# Logging
|
||||
"log_info",
|
||||
"log_debug",
|
||||
|
||||
@ -1,208 +0,0 @@
|
||||
"""Field projection and response size guard for GhydraMCP.
|
||||
|
||||
Provides jq-style field projection, grep filtering, and token budget
|
||||
enforcement to prevent oversized MCP tool results.
|
||||
"""
|
||||
|
||||
import json
|
||||
import re
|
||||
import time
|
||||
from typing import Any, Dict, Optional
|
||||
|
||||
from ..config import get_config
|
||||
|
||||
|
||||
# Token estimation (same ratio as pagination.py)
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||||
TOKEN_ESTIMATION_RATIO = 4.0
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||||
|
||||
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||||
def project_fields(items: list, fields: list[str]) -> list:
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||||
"""Select only specified keys from each item (jq-style projection).
|
||||
|
||||
Works on dicts and strings. For dicts, returns only the requested
|
||||
keys. For non-dict items (e.g. lines of decompiled code), returns
|
||||
them unchanged.
|
||||
|
||||
Args:
|
||||
items: List of items to project
|
||||
fields: List of field names to keep
|
||||
|
||||
Returns:
|
||||
List of projected items
|
||||
"""
|
||||
if not fields or not items:
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||||
return items
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||||
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||||
field_set = set(fields)
|
||||
projected = []
|
||||
for item in items:
|
||||
if isinstance(item, dict):
|
||||
projected.append({k: v for k, v in item.items() if k in field_set})
|
||||
else:
|
||||
projected.append(item)
|
||||
return projected
|
||||
|
||||
|
||||
def apply_grep(items: list, pattern: str, ignorecase: bool = True) -> list:
|
||||
"""Filter items by regex pattern across all string values.
|
||||
|
||||
Searches all string-coercible values in each item. For dicts,
|
||||
searches all values recursively. For strings, searches directly.
|
||||
|
||||
Args:
|
||||
items: List of items to filter
|
||||
pattern: Regex pattern string
|
||||
ignorecase: Case-insensitive matching (default True)
|
||||
|
||||
Returns:
|
||||
Filtered list of matching items
|
||||
"""
|
||||
if not pattern or not items:
|
||||
return items
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||||
|
||||
flags = re.IGNORECASE if ignorecase else 0
|
||||
compiled = re.compile(pattern, flags)
|
||||
|
||||
return [item for item in items if _matches(item, compiled)]
|
||||
|
||||
|
||||
def _matches(item: Any, pattern: re.Pattern, depth: int = 0) -> bool:
|
||||
"""Check if item matches pattern (recursive for nested structures)."""
|
||||
if depth > 10:
|
||||
return False
|
||||
|
||||
if isinstance(item, dict):
|
||||
for value in item.values():
|
||||
if isinstance(value, str) and pattern.search(value):
|
||||
return True
|
||||
elif isinstance(value, (int, float)):
|
||||
if pattern.search(str(value)):
|
||||
return True
|
||||
elif isinstance(value, (dict, list, tuple)):
|
||||
if _matches(value, pattern, depth + 1):
|
||||
return True
|
||||
return False
|
||||
elif isinstance(item, (list, tuple)):
|
||||
return any(_matches(i, pattern, depth + 1) for i in item)
|
||||
elif isinstance(item, str):
|
||||
return bool(pattern.search(item))
|
||||
else:
|
||||
return bool(pattern.search(str(item)))
|
||||
|
||||
|
||||
def _estimate_tokens(data: Any) -> int:
|
||||
"""Estimate token count from serialized JSON size."""
|
||||
text = json.dumps(data, default=str)
|
||||
return int(len(text) / TOKEN_ESTIMATION_RATIO)
|
||||
|
||||
|
||||
def _extract_available_fields(items: list) -> list[str]:
|
||||
"""Extract the set of field names from the first few dict items."""
|
||||
fields = set()
|
||||
for item in items[:5]:
|
||||
if isinstance(item, dict):
|
||||
fields.update(item.keys())
|
||||
# Remove internal/HATEOAS fields
|
||||
fields.discard("_links")
|
||||
return sorted(fields)
|
||||
|
||||
|
||||
def estimate_and_guard(
|
||||
data: list,
|
||||
tool_name: str,
|
||||
budget: Optional[int] = None,
|
||||
query_hints: Optional[Dict[str, Any]] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""Check if data exceeds token budget; return guard response if so.
|
||||
|
||||
If data fits within budget, returns None (caller should proceed
|
||||
normally). If data exceeds budget, returns a structured summary
|
||||
with instructions for narrowing the query.
|
||||
|
||||
Args:
|
||||
data: The full data list to check
|
||||
tool_name: Name of the tool (for hint messages)
|
||||
budget: Token budget override (defaults to config.max_response_tokens)
|
||||
query_hints: Original query params (for building hint commands)
|
||||
|
||||
Returns:
|
||||
None if data fits within budget, or a guard response dict
|
||||
"""
|
||||
config = get_config()
|
||||
if budget is None:
|
||||
budget = config.max_response_tokens
|
||||
|
||||
estimated = _estimate_tokens(data)
|
||||
if estimated <= budget:
|
||||
return None
|
||||
|
||||
# Build sample from first 3 items
|
||||
sample = data[:3]
|
||||
available_fields = _extract_available_fields(data)
|
||||
|
||||
# Build actionable hints based on the tool name
|
||||
hints = _build_hints(tool_name, available_fields, query_hints)
|
||||
|
||||
return {
|
||||
"success": True,
|
||||
"guarded": True,
|
||||
"total_count": len(data),
|
||||
"estimated_tokens": estimated,
|
||||
"budget": budget,
|
||||
"sample": sample,
|
||||
"available_fields": available_fields,
|
||||
"message": (
|
||||
"Response too large (%d items, ~%s tokens, budget: %s). "
|
||||
"To read this data:\n%s"
|
||||
) % (
|
||||
len(data),
|
||||
_format_tokens(estimated),
|
||||
_format_tokens(budget),
|
||||
hints,
|
||||
),
|
||||
"timestamp": int(time.time() * 1000),
|
||||
}
|
||||
|
||||
|
||||
def _format_tokens(n: int) -> str:
|
||||
"""Format token count for display (e.g. 45000 -> '45k')."""
|
||||
if n >= 1000:
|
||||
return "%dk" % (n // 1000)
|
||||
return str(n)
|
||||
|
||||
|
||||
def _build_hints(
|
||||
tool_name: str,
|
||||
available_fields: list[str],
|
||||
query_hints: Optional[Dict[str, Any]] = None,
|
||||
) -> str:
|
||||
"""Build actionable hint text for the guard message."""
|
||||
lines = []
|
||||
|
||||
# Pagination hint
|
||||
lines.append(
|
||||
" - Paginate: %s(page_size=50) then cursor_next(cursor_id='...')"
|
||||
% tool_name
|
||||
)
|
||||
|
||||
# Grep hint
|
||||
grep_example = "main" if "functions" in tool_name else ".*pattern.*"
|
||||
lines.append(
|
||||
" - Filter: %s(grep='%s')" % (tool_name, grep_example)
|
||||
)
|
||||
|
||||
# Fields hint (only if we have dict items with fields)
|
||||
if available_fields:
|
||||
short_fields = available_fields[:2]
|
||||
lines.append(
|
||||
" - Project: %s(fields=%s)" % (tool_name, short_fields)
|
||||
)
|
||||
|
||||
# Combined hint
|
||||
if available_fields:
|
||||
lines.append(
|
||||
" - Combine: %s(grep='...', fields=%s, return_all=True)"
|
||||
% (tool_name, available_fields[:2])
|
||||
)
|
||||
|
||||
return "\n".join(lines)
|
||||
@ -14,7 +14,6 @@ from threading import Lock
|
||||
from typing import Any, Dict, List, Optional, Tuple
|
||||
|
||||
from ..config import get_config
|
||||
from .filtering import project_fields, estimate_and_guard
|
||||
|
||||
|
||||
# ReDoS Protection Configuration
|
||||
@ -394,9 +393,8 @@ def paginate_response(
|
||||
grep: Optional[str] = None,
|
||||
grep_ignorecase: bool = True,
|
||||
return_all: bool = False,
|
||||
fields: Optional[List[str]] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""Create a paginated response with optional grep filtering and field projection.
|
||||
"""Create a paginated response with optional grep filtering.
|
||||
|
||||
Args:
|
||||
data: Full result list to paginate
|
||||
@ -406,8 +404,7 @@ def paginate_response(
|
||||
page_size: Items per page (default: 50, max: 500)
|
||||
grep: Optional regex pattern to filter results
|
||||
grep_ignorecase: Case-insensitive grep (default: True)
|
||||
return_all: Bypass pagination and return all results (with budget guard)
|
||||
fields: Optional list of field names to project (jq-style)
|
||||
return_all: Bypass pagination and return all results (with warning)
|
||||
|
||||
Returns:
|
||||
dict with pagination metadata and results
|
||||
@ -434,19 +431,6 @@ def paginate_response(
|
||||
"timestamp": int(time.time() * 1000),
|
||||
}
|
||||
|
||||
# Apply field projection before size estimation
|
||||
if fields:
|
||||
filtered_data = project_fields(filtered_data, fields)
|
||||
|
||||
# Check token budget — return guard if exceeded
|
||||
guard = estimate_and_guard(
|
||||
data=filtered_data,
|
||||
tool_name=tool_name,
|
||||
query_hints=query_params,
|
||||
)
|
||||
if guard is not None:
|
||||
return guard
|
||||
|
||||
estimated_tokens = estimate_tokens(filtered_data)
|
||||
warning = None
|
||||
|
||||
@ -454,7 +438,7 @@ def paginate_response(
|
||||
warning = f"EXTREMELY LARGE response (~{estimated_tokens:,} tokens)"
|
||||
elif estimated_tokens > 20000:
|
||||
warning = f"VERY LARGE response (~{estimated_tokens:,} tokens)"
|
||||
elif estimated_tokens > config.large_response_threshold:
|
||||
elif estimated_tokens > 8000:
|
||||
warning = f"Large response (~{estimated_tokens:,} tokens)"
|
||||
|
||||
return {
|
||||
@ -465,19 +449,16 @@ def paginate_response(
|
||||
"total_count": len(data),
|
||||
"filtered_count": len(filtered_data),
|
||||
"grep_pattern": grep,
|
||||
"fields_projected": fields,
|
||||
"estimated_tokens": estimated_tokens,
|
||||
"warning": warning,
|
||||
},
|
||||
"timestamp": int(time.time() * 1000),
|
||||
}
|
||||
|
||||
# Normal pagination flow — apply field projection before cursoring
|
||||
paginated_data = project_fields(data, fields) if fields else data
|
||||
|
||||
# Normal pagination flow
|
||||
try:
|
||||
cursor_id, state = cursor_manager.create_cursor(
|
||||
data=paginated_data,
|
||||
data=data,
|
||||
query_params=query_params,
|
||||
tool_name=tool_name,
|
||||
session_id=session_id,
|
||||
|
||||
@ -3,7 +3,7 @@
|
||||
Provides tools for program analysis operations.
|
||||
"""
|
||||
|
||||
from typing import Any, Dict, List, Optional
|
||||
from typing import Any, Dict, Optional
|
||||
|
||||
from fastmcp import Context
|
||||
from fastmcp.contrib.mcp_mixin import mcp_tool
|
||||
@ -57,7 +57,6 @@ class AnalysisMixin(GhydraMixinBase):
|
||||
grep: Optional[str] = None,
|
||||
grep_ignorecase: bool = True,
|
||||
return_all: bool = False,
|
||||
fields: Optional[List[str]] = None,
|
||||
ctx: Optional[Context] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""Get function call graph with edge pagination.
|
||||
@ -71,7 +70,6 @@ class AnalysisMixin(GhydraMixinBase):
|
||||
grep: Regex pattern to filter edges
|
||||
grep_ignorecase: Case-insensitive grep (default: True)
|
||||
return_all: Return all edges without pagination
|
||||
fields: Field names to keep per edge (e.g. ['from', 'to']). Reduces response size.
|
||||
ctx: FastMCP context (auto-injected)
|
||||
|
||||
Returns:
|
||||
@ -117,7 +115,7 @@ class AnalysisMixin(GhydraMixinBase):
|
||||
}
|
||||
session_id = self._get_session_id(ctx)
|
||||
|
||||
paginated = self.filtered_paginate(
|
||||
paginated = self.paginate_response(
|
||||
data=edges,
|
||||
query_params=query_params,
|
||||
tool_name="analysis_get_callgraph",
|
||||
@ -126,10 +124,9 @@ class AnalysisMixin(GhydraMixinBase):
|
||||
grep=grep,
|
||||
grep_ignorecase=grep_ignorecase,
|
||||
return_all=return_all,
|
||||
fields=fields,
|
||||
)
|
||||
|
||||
if paginated.get("success") and not paginated.get("guarded"):
|
||||
if paginated.get("success"):
|
||||
paginated["result"] = {
|
||||
"root_function": func_id,
|
||||
"max_depth": max_depth,
|
||||
@ -151,7 +148,6 @@ class AnalysisMixin(GhydraMixinBase):
|
||||
grep: Optional[str] = None,
|
||||
grep_ignorecase: bool = True,
|
||||
return_all: bool = False,
|
||||
fields: Optional[List[str]] = None,
|
||||
ctx: Optional[Context] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""Perform data flow analysis with step pagination.
|
||||
@ -165,7 +161,6 @@ class AnalysisMixin(GhydraMixinBase):
|
||||
grep: Regex pattern to filter steps
|
||||
grep_ignorecase: Case-insensitive grep (default: True)
|
||||
return_all: Return all steps without pagination
|
||||
fields: Field names to keep per step. Reduces response size.
|
||||
ctx: FastMCP context (auto-injected)
|
||||
|
||||
Returns:
|
||||
@ -215,7 +210,7 @@ class AnalysisMixin(GhydraMixinBase):
|
||||
}
|
||||
session_id = self._get_session_id(ctx)
|
||||
|
||||
paginated = self.filtered_paginate(
|
||||
paginated = self.paginate_response(
|
||||
data=steps,
|
||||
query_params=query_params,
|
||||
tool_name="analysis_get_dataflow",
|
||||
@ -224,11 +219,9 @@ class AnalysisMixin(GhydraMixinBase):
|
||||
grep=grep,
|
||||
grep_ignorecase=grep_ignorecase,
|
||||
return_all=return_all,
|
||||
fields=fields,
|
||||
)
|
||||
|
||||
# Merge metadata into result (skip if guarded)
|
||||
if paginated.get("success") and not paginated.get("guarded"):
|
||||
if paginated.get("success"):
|
||||
paginated["result"] = {
|
||||
"start_address": address,
|
||||
"direction": direction,
|
||||
|
||||
@ -12,7 +12,7 @@ from fastmcp.contrib.mcp_mixin import MCPMixin
|
||||
|
||||
from ..config import get_config
|
||||
from ..core.http_client import safe_get, safe_post, safe_put, safe_patch, safe_delete, simplify_response
|
||||
from ..core.pagination import paginate_response
|
||||
from ..core.pagination import get_cursor_manager, paginate_response
|
||||
from ..core.logging import log_info, log_debug, log_warning, log_error
|
||||
|
||||
|
||||
@ -209,9 +209,8 @@ class GhydraMixinBase(MCPMixin):
|
||||
grep: Optional[str] = None,
|
||||
grep_ignorecase: bool = True,
|
||||
return_all: bool = False,
|
||||
fields: Optional[list] = None,
|
||||
) -> Dict:
|
||||
"""Create paginated response with optional field projection."""
|
||||
"""Create paginated response."""
|
||||
return paginate_response(
|
||||
data=data,
|
||||
query_params=query_params,
|
||||
@ -221,37 +220,6 @@ class GhydraMixinBase(MCPMixin):
|
||||
grep=grep,
|
||||
grep_ignorecase=grep_ignorecase,
|
||||
return_all=return_all,
|
||||
fields=fields,
|
||||
)
|
||||
|
||||
def filtered_paginate(
|
||||
self,
|
||||
data: list,
|
||||
query_params: Dict,
|
||||
tool_name: str,
|
||||
session_id: str = "default",
|
||||
page_size: int = 50,
|
||||
grep: Optional[str] = None,
|
||||
grep_ignorecase: bool = True,
|
||||
return_all: bool = False,
|
||||
fields: Optional[list] = None,
|
||||
) -> Dict:
|
||||
"""Paginate with field projection and budget guard.
|
||||
|
||||
Convenience wrapper that applies field projection then delegates
|
||||
to paginate_response. Prefer this over paginate_response for any
|
||||
tool that could return large result sets.
|
||||
"""
|
||||
return self.paginate_response(
|
||||
data=data,
|
||||
query_params=query_params,
|
||||
tool_name=tool_name,
|
||||
session_id=session_id,
|
||||
page_size=page_size,
|
||||
grep=grep,
|
||||
grep_ignorecase=grep_ignorecase,
|
||||
return_all=return_all,
|
||||
fields=fields,
|
||||
)
|
||||
|
||||
# Async logging helpers
|
||||
|
||||
@ -3,7 +3,7 @@
|
||||
Provides tools for data items and strings operations.
|
||||
"""
|
||||
|
||||
from typing import Any, Dict, List, Optional
|
||||
from typing import Any, Dict, Optional
|
||||
|
||||
from fastmcp import Context
|
||||
from fastmcp.contrib.mcp_mixin import mcp_tool, mcp_resource
|
||||
@ -34,7 +34,6 @@ class DataMixin(GhydraMixinBase):
|
||||
grep: Optional[str] = None,
|
||||
grep_ignorecase: bool = True,
|
||||
return_all: bool = False,
|
||||
fields: Optional[List[str]] = None,
|
||||
ctx: Optional[Context] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""List defined data items with filtering and cursor-based pagination.
|
||||
@ -49,7 +48,6 @@ class DataMixin(GhydraMixinBase):
|
||||
grep: Regex pattern to filter results
|
||||
grep_ignorecase: Case-insensitive grep (default: True)
|
||||
return_all: Return all results without pagination
|
||||
fields: Field names to keep (e.g. ['address', 'name']). Reduces response size.
|
||||
ctx: FastMCP context (auto-injected)
|
||||
|
||||
Returns:
|
||||
@ -93,7 +91,7 @@ class DataMixin(GhydraMixinBase):
|
||||
}
|
||||
session_id = self._get_session_id(ctx)
|
||||
|
||||
return self.filtered_paginate(
|
||||
return self.paginate_response(
|
||||
data=all_data,
|
||||
query_params=query_params,
|
||||
tool_name="data_list",
|
||||
@ -102,7 +100,6 @@ class DataMixin(GhydraMixinBase):
|
||||
grep=grep,
|
||||
grep_ignorecase=grep_ignorecase,
|
||||
return_all=return_all,
|
||||
fields=fields,
|
||||
)
|
||||
|
||||
@mcp_tool()
|
||||
@ -114,7 +111,6 @@ class DataMixin(GhydraMixinBase):
|
||||
grep: Optional[str] = None,
|
||||
grep_ignorecase: bool = True,
|
||||
return_all: bool = False,
|
||||
fields: Optional[List[str]] = None,
|
||||
ctx: Optional[Context] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""List all defined strings in the binary with pagination.
|
||||
@ -126,7 +122,6 @@ class DataMixin(GhydraMixinBase):
|
||||
grep: Regex pattern to filter results (e.g., "password|key")
|
||||
grep_ignorecase: Case-insensitive grep (default: True)
|
||||
return_all: Return all strings without pagination
|
||||
fields: Field names to keep (e.g. ['value', 'address']). Reduces response size.
|
||||
ctx: FastMCP context (auto-injected)
|
||||
|
||||
Returns:
|
||||
@ -162,7 +157,7 @@ class DataMixin(GhydraMixinBase):
|
||||
}
|
||||
session_id = self._get_session_id(ctx)
|
||||
|
||||
return self.filtered_paginate(
|
||||
return self.paginate_response(
|
||||
data=result_data,
|
||||
query_params=query_params,
|
||||
tool_name="data_list_strings",
|
||||
@ -171,7 +166,6 @@ class DataMixin(GhydraMixinBase):
|
||||
grep=grep,
|
||||
grep_ignorecase=grep_ignorecase,
|
||||
return_all=return_all,
|
||||
fields=fields,
|
||||
)
|
||||
|
||||
@mcp_tool()
|
||||
|
||||
@ -3,7 +3,7 @@
|
||||
Provides tools for function analysis, decompilation, and manipulation.
|
||||
"""
|
||||
|
||||
from typing import Any, Dict, List, Optional
|
||||
from typing import Any, Dict, Optional
|
||||
from urllib.parse import quote
|
||||
|
||||
from fastmcp import Context
|
||||
@ -33,7 +33,6 @@ class FunctionsMixin(GhydraMixinBase):
|
||||
grep: Optional[str] = None,
|
||||
grep_ignorecase: bool = True,
|
||||
return_all: bool = False,
|
||||
fields: Optional[List[str]] = None,
|
||||
ctx: Optional[Context] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""List functions with cursor-based pagination.
|
||||
@ -44,7 +43,6 @@ class FunctionsMixin(GhydraMixinBase):
|
||||
grep: Regex pattern to filter function names
|
||||
grep_ignorecase: Case-insensitive grep (default: True)
|
||||
return_all: Return all functions without pagination
|
||||
fields: Field names to keep (e.g. ['name', 'address']). Reduces response size.
|
||||
ctx: FastMCP context (auto-injected)
|
||||
|
||||
Returns:
|
||||
@ -69,7 +67,7 @@ class FunctionsMixin(GhydraMixinBase):
|
||||
query_params = {"tool": "functions_list", "port": port, "grep": grep}
|
||||
session_id = self._get_session_id(ctx)
|
||||
|
||||
return self.filtered_paginate(
|
||||
return self.paginate_response(
|
||||
data=functions,
|
||||
query_params=query_params,
|
||||
tool_name="functions_list",
|
||||
@ -78,7 +76,6 @@ class FunctionsMixin(GhydraMixinBase):
|
||||
grep=grep,
|
||||
grep_ignorecase=grep_ignorecase,
|
||||
return_all=return_all,
|
||||
fields=fields,
|
||||
)
|
||||
|
||||
@mcp_tool()
|
||||
@ -132,7 +129,6 @@ class FunctionsMixin(GhydraMixinBase):
|
||||
grep: Optional[str] = None,
|
||||
grep_ignorecase: bool = True,
|
||||
return_all: bool = False,
|
||||
fields: Optional[List[str]] = None,
|
||||
ctx: Optional[Context] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""Get decompiled code for a function with line pagination.
|
||||
@ -147,7 +143,6 @@ class FunctionsMixin(GhydraMixinBase):
|
||||
grep: Regex pattern to filter lines
|
||||
grep_ignorecase: Case-insensitive grep (default: True)
|
||||
return_all: Return all lines without pagination
|
||||
fields: Field names to keep (for structured results)
|
||||
ctx: FastMCP context (auto-injected)
|
||||
|
||||
Returns:
|
||||
@ -199,7 +194,7 @@ class FunctionsMixin(GhydraMixinBase):
|
||||
}
|
||||
session_id = self._get_session_id(ctx)
|
||||
|
||||
paginated = self.filtered_paginate(
|
||||
paginated = self.paginate_response(
|
||||
data=lines,
|
||||
query_params=query_params,
|
||||
tool_name="functions_decompile",
|
||||
@ -208,11 +203,10 @@ class FunctionsMixin(GhydraMixinBase):
|
||||
grep=grep,
|
||||
grep_ignorecase=grep_ignorecase,
|
||||
return_all=return_all,
|
||||
fields=fields,
|
||||
)
|
||||
|
||||
# Convert lines back to text in result (skip if guarded)
|
||||
if paginated.get("success") and not paginated.get("guarded"):
|
||||
# Convert lines back to text in result
|
||||
if paginated.get("success"):
|
||||
paginated["result"] = "\n".join(paginated.get("result", []))
|
||||
paginated["function_name"] = result.get("name", name or address)
|
||||
|
||||
@ -228,7 +222,6 @@ class FunctionsMixin(GhydraMixinBase):
|
||||
grep: Optional[str] = None,
|
||||
grep_ignorecase: bool = True,
|
||||
return_all: bool = False,
|
||||
fields: Optional[List[str]] = None,
|
||||
ctx: Optional[Context] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""Get disassembly for a function with instruction pagination.
|
||||
@ -241,7 +234,6 @@ class FunctionsMixin(GhydraMixinBase):
|
||||
grep: Regex pattern to filter instructions
|
||||
grep_ignorecase: Case-insensitive grep (default: True)
|
||||
return_all: Return all instructions without pagination
|
||||
fields: Field names to keep (for structured results)
|
||||
ctx: FastMCP context (auto-injected)
|
||||
|
||||
Returns:
|
||||
@ -292,7 +284,7 @@ class FunctionsMixin(GhydraMixinBase):
|
||||
}
|
||||
session_id = self._get_session_id(ctx)
|
||||
|
||||
paginated = self.filtered_paginate(
|
||||
paginated = self.paginate_response(
|
||||
data=lines,
|
||||
query_params=query_params,
|
||||
tool_name="functions_disassemble",
|
||||
@ -301,11 +293,10 @@ class FunctionsMixin(GhydraMixinBase):
|
||||
grep=grep,
|
||||
grep_ignorecase=grep_ignorecase,
|
||||
return_all=return_all,
|
||||
fields=fields,
|
||||
)
|
||||
|
||||
# Convert lines back to text (skip if guarded)
|
||||
if paginated.get("success") and not paginated.get("guarded"):
|
||||
# Convert lines back to text
|
||||
if paginated.get("success"):
|
||||
paginated["result"] = "\n".join(paginated.get("result", []))
|
||||
paginated["function_name"] = result.get("name", name or address)
|
||||
|
||||
|
||||
@ -3,7 +3,7 @@
|
||||
Provides tools for struct data type operations.
|
||||
"""
|
||||
|
||||
from typing import Any, Dict, List, Optional
|
||||
from typing import Any, Dict, Optional
|
||||
|
||||
from fastmcp import Context
|
||||
from fastmcp.contrib.mcp_mixin import mcp_tool, mcp_resource
|
||||
@ -31,7 +31,6 @@ class StructsMixin(GhydraMixinBase):
|
||||
grep: Optional[str] = None,
|
||||
grep_ignorecase: bool = True,
|
||||
return_all: bool = False,
|
||||
fields: Optional[List[str]] = None,
|
||||
ctx: Optional[Context] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""List all struct data types with cursor-based pagination.
|
||||
@ -43,7 +42,6 @@ class StructsMixin(GhydraMixinBase):
|
||||
grep: Regex pattern to filter struct names
|
||||
grep_ignorecase: Case-insensitive grep (default: True)
|
||||
return_all: Return all results without pagination
|
||||
fields: Field names to keep (e.g. ['name', 'size']). Reduces response size.
|
||||
ctx: FastMCP context (auto-injected)
|
||||
|
||||
Returns:
|
||||
@ -78,7 +76,7 @@ class StructsMixin(GhydraMixinBase):
|
||||
}
|
||||
session_id = self._get_session_id(ctx)
|
||||
|
||||
return self.filtered_paginate(
|
||||
return self.paginate_response(
|
||||
data=all_structs,
|
||||
query_params=query_params,
|
||||
tool_name="structs_list",
|
||||
@ -87,7 +85,6 @@ class StructsMixin(GhydraMixinBase):
|
||||
grep=grep,
|
||||
grep_ignorecase=grep_ignorecase,
|
||||
return_all=return_all,
|
||||
fields=fields,
|
||||
)
|
||||
|
||||
@mcp_tool()
|
||||
@ -99,7 +96,6 @@ class StructsMixin(GhydraMixinBase):
|
||||
grep: Optional[str] = None,
|
||||
grep_ignorecase: bool = True,
|
||||
return_all: bool = False,
|
||||
project_fields: Optional[List[str]] = None,
|
||||
ctx: Optional[Context] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""Get detailed information about a struct with field pagination.
|
||||
@ -111,7 +107,6 @@ class StructsMixin(GhydraMixinBase):
|
||||
grep: Regex pattern to filter fields
|
||||
grep_ignorecase: Case-insensitive grep (default: True)
|
||||
return_all: Return all fields without pagination
|
||||
project_fields: Field names to keep per struct field item. Reduces response size.
|
||||
ctx: FastMCP context (auto-injected)
|
||||
|
||||
Returns:
|
||||
@ -165,7 +160,7 @@ class StructsMixin(GhydraMixinBase):
|
||||
}
|
||||
|
||||
# Paginate fields
|
||||
paginated = self.filtered_paginate(
|
||||
paginated = self.paginate_response(
|
||||
data=fields,
|
||||
query_params=query_params,
|
||||
tool_name="structs_get",
|
||||
@ -174,11 +169,10 @@ class StructsMixin(GhydraMixinBase):
|
||||
grep=grep,
|
||||
grep_ignorecase=grep_ignorecase,
|
||||
return_all=return_all,
|
||||
fields=project_fields,
|
||||
)
|
||||
|
||||
# Merge struct metadata with paginated fields (skip if guarded)
|
||||
if paginated.get("success") and not paginated.get("guarded"):
|
||||
# Merge struct metadata with paginated fields
|
||||
if paginated.get("success"):
|
||||
paginated["struct_name"] = struct_info.get("name", name)
|
||||
paginated["struct_size"] = struct_info.get("size", struct_info.get("length"))
|
||||
paginated["struct_category"] = struct_info.get("category", struct_info.get("categoryPath"))
|
||||
|
||||
@ -3,7 +3,7 @@
|
||||
Provides tools for cross-reference (xref) operations.
|
||||
"""
|
||||
|
||||
from typing import Any, Dict, List, Optional
|
||||
from typing import Any, Dict, Optional
|
||||
|
||||
from fastmcp import Context
|
||||
from fastmcp.contrib.mcp_mixin import mcp_tool, mcp_resource
|
||||
@ -32,7 +32,6 @@ class XrefsMixin(GhydraMixinBase):
|
||||
grep: Optional[str] = None,
|
||||
grep_ignorecase: bool = True,
|
||||
return_all: bool = False,
|
||||
fields: Optional[List[str]] = None,
|
||||
ctx: Optional[Context] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""List cross-references with filtering and pagination.
|
||||
@ -46,7 +45,6 @@ class XrefsMixin(GhydraMixinBase):
|
||||
grep: Regex pattern to filter results
|
||||
grep_ignorecase: Case-insensitive grep (default: True)
|
||||
return_all: Return all results without pagination
|
||||
fields: Field names to keep (e.g. ['fromAddress', 'toAddress']). Reduces response size.
|
||||
ctx: FastMCP context (auto-injected)
|
||||
|
||||
Returns:
|
||||
@ -96,7 +94,7 @@ class XrefsMixin(GhydraMixinBase):
|
||||
}
|
||||
session_id = self._get_session_id(ctx)
|
||||
|
||||
return self.filtered_paginate(
|
||||
return self.paginate_response(
|
||||
data=all_xrefs,
|
||||
query_params=query_params,
|
||||
tool_name="xrefs_list",
|
||||
@ -105,7 +103,6 @@ class XrefsMixin(GhydraMixinBase):
|
||||
grep=grep,
|
||||
grep_ignorecase=grep_ignorecase,
|
||||
return_all=return_all,
|
||||
fields=fields,
|
||||
)
|
||||
|
||||
# Resources
|
||||
|
||||
@ -8,7 +8,6 @@ import signal
|
||||
import sys
|
||||
import threading
|
||||
import time
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
from fastmcp import FastMCP
|
||||
@ -69,18 +68,6 @@ def create_server(
|
||||
cursors_mixin.register_all(mcp)
|
||||
docker_mixin.register_all(mcp)
|
||||
|
||||
# Optional feedback collection
|
||||
cfg = get_config()
|
||||
if cfg.feedback_enabled:
|
||||
try:
|
||||
from fastmcp_feedback import add_feedback_tools
|
||||
|
||||
db_path = Path(cfg.feedback_db_path)
|
||||
db_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
add_feedback_tools(mcp, database_url=f"sqlite:///{db_path}")
|
||||
except ImportError:
|
||||
pass # fastmcp-feedback not installed — skip silently
|
||||
|
||||
return mcp
|
||||
|
||||
|
||||
@ -145,9 +132,6 @@ def main():
|
||||
|
||||
config = get_config()
|
||||
|
||||
if config.feedback_enabled:
|
||||
print(f" 📋 Feedback collection: {config.feedback_db_path}", file=sys.stderr)
|
||||
|
||||
# Create and configure the server
|
||||
mcp = create_server()
|
||||
|
||||
|
||||
112
uv.lock
generated
112
uv.lock
generated
@ -400,27 +400,12 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/e5/4b/73c68b0ae9e587f20c5aa13ba5bed9be2bb9248a598555dafcf17df87f70/fastmcp-2.13.2-py3-none-any.whl", hash = "sha256:300c59eb970c235bb9d0575883322922e4f2e2468a3d45e90cbfd6b23b7be245", size = 385643, upload-time = "2025-12-01T18:48:18.515Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "fastmcp-feedback"
|
||||
version = "2026.1.12.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "fastmcp" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "sqlalchemy" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/73/84/cbd09919ea66ee263e7da6bf07f6389cee7a0afedacd55f9d1e210dea24b/fastmcp_feedback-2026.1.12.1.tar.gz", hash = "sha256:26f75419e7787c982204c62ce78de1f13eec8915f64acee84597389722ed902d", size = 81133, upload-time = "2026-01-16T02:09:13.543Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/db/ee/327a3f6c7ac5cde56c7c9449dbc6c0ab78b15c06a51ad5645ab880240120/fastmcp_feedback-2026.1.12.1-py3-none-any.whl", hash = "sha256:6a3dec71f3d3eae4eb0102eb0a86aa7853fb0419fb506a5a13d17deaf842c53c", size = 29789, upload-time = "2026-01-16T02:09:11.831Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "ghydramcp"
|
||||
version = "2025.12.3"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "fastmcp" },
|
||||
{ name = "fastmcp-feedback" },
|
||||
{ name = "mcp" },
|
||||
{ name = "requests" },
|
||||
]
|
||||
@ -428,58 +413,10 @@ dependencies = [
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "fastmcp", specifier = ">=2.0.0" },
|
||||
{ name = "fastmcp-feedback", specifier = ">=1.0.0" },
|
||||
{ name = "mcp", specifier = ">=1.22.0" },
|
||||
{ name = "requests", specifier = ">=2.32.3" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "greenlet"
|
||||
version = "3.3.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/8a/99/1cd3411c56a410994669062bd73dd58270c00cc074cac15f385a1fd91f8a/greenlet-3.3.1.tar.gz", hash = "sha256:41848f3230b58c08bb43dee542e74a2a2e34d3c59dc3076cec9151aeeedcae98", size = 184690, upload-time = "2026-01-23T15:31:02.076Z" }
|
||||
wheels = [
|
||||
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{ url = "https://files.pythonhosted.org/packages/33/75/f28622ba6dde79cd545055ea7bd4062dc934e0621f7b3be2891f8563f8de/sqlalchemy-2.0.46-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:ff33c6e6ad006bbc0f34f5faf941cfc62c45841c64c0a058ac38c799f15b5ede", size = 3470008, upload-time = "2026-01-21T18:33:11.725Z" },
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{ url = "https://files.pythonhosted.org/packages/a9/42/4afecbbc38d5e99b18acef446453c76eec6fbd03db0a457a12a056836e22/sqlalchemy-2.0.46-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:82ec52100ec1e6ec671563bbd02d7c7c8d0b9e71a0723c72f22ecf52d1755330", size = 3476137, upload-time = "2026-01-21T18:45:15.001Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fc/a1/9c4efa03300926601c19c18582531b45aededfb961ab3c3585f1e24f120b/sqlalchemy-2.0.46-py3-none-any.whl", hash = "sha256:f9c11766e7e7c0a2767dda5acb006a118640c9fc0a4104214b96269bfb78399e", size = 1937882, upload-time = "2026-01-21T18:22:10.456Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "sse-starlette"
|
||||
version = "3.0.3"
|
||||
|
||||
Loading…
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Reference in New Issue
Block a user