Wire GHIDRA_LANGUAGE, GHIDRA_BASE_ADDRESS, GHIDRA_LOADER through the
Docker entrypoint and MCP tools so raw binaries (e.g., ARM7TDMI firmware)
get the correct processor, memory map, and loader instead of relying on
auto-detection. Auto-sets BinaryLoader when language is specified.
Input validation at both Python and bash layers prevents malformed values
from reaching analyzeHeadless.
When port 8192 was already in use by a non-MCGhidra container (e.g.,
LTspice), docker_start would fail instead of trying the next port.
Now loops through the pool, checking each candidate against Docker's
published ports before using it.
Also includes Docker build retry improvements from earlier session.
Allows AI clients to submit feedback about tool quality, report issues,
and track statistics. Persists to ~/.ghydramcp/feedback.db (SQLite).
- Add fastmcp-feedback dependency
- Add feedback_enabled / feedback_db_path config fields
- Wire add_feedback_tools() into create_server() with graceful fallback
- Show feedback path in startup banner
Disable with GHYDRA_FEEDBACK=false
- Add ghydramcp Python package with FastMCP server implementation
- Add docker-compose.yml for easy container management
- Add Makefile with build/run targets
- Add QUICKSTART.md for getting started
- Add uv.lock for reproducible dependencies
