Ryan Malloy 92b158b847
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🚀 Initial release: Enhanced MCP Tools v1.0.0
 Features:
- 50+ development tools across 13 specialized categories
-  Sneller Analytics: High-performance vectorized SQL (TB/s throughput)
- 🎬 Asciinema Integration: Terminal recording and sharing
- 🧠 AI-Powered Recommendations: Intelligent tool suggestions
- 🔀 Advanced Git Integration: Smart operations with AI suggestions
- 📁 Enhanced File Operations: Monitoring, bulk ops, backups
- 🔍 Semantic Code Search: AST-based intelligent analysis
- 🏗️ Development Workflow: Testing, linting, formatting
- 🌐 Network & API Tools: HTTP client, mock servers
- 📦 Archive & Compression: Multi-format operations
- 🔬 Process Tracing: System call monitoring
- 🌍 Environment Management: Virtual envs, dependencies

🎯 Ready for production with comprehensive documentation and MCP Inspector support!
2025-06-23 02:33:23 -06:00

31 KiB

🚀 Enhanced MCP Tools

A comprehensive Model Context Protocol (MCP) server with 50+ development tools

Python FastMCP License: MIT Build Status Coverage Code style: black


🔧 Professional Development Tools🤖 AI Assistant Ready High Performance🛡️ Type Safe

Getting StartedMCP InspectorFeaturesExamplesContributing

📖 Table of Contents

Features

🔄 Core Operations

  • Diff/Patch Operations - Advanced file comparison and patching
  • Git Integration - Smart git operations with AI suggestions
  • File Operations - Enhanced file watching, bulk operations, backups
  • Semantic Code Search - AST-based intelligent code analysis
  • Codebase Analytics - Comprehensive project insights
  • Duplicate Detection - Find and analyze code duplication

🏗️ Development Workflow

  • Test Execution - Multi-framework test runner with coverage
  • Code Quality - Linting, formatting, and quality checks
  • Documentation - Auto-generated docs from code

🌐 Network & System

  • HTTP Client - Advanced requests with streaming support
  • Process Tracing - System call monitoring and analysis
  • Environment Management - Virtual environments and dependencies

High-Performance Analytics

  • Sneller Integration - Vectorized SQL on JSON (TB/s throughput)
  • AVX-512 Optimization - 1GB/s/core processing speed
  • Schemaless Querying - Direct JSON analysis without ETL

🎬 Terminal & Collaboration

  • Asciinema Recording - Professional terminal session capture
  • Demo Creation - Embeddable terminal recordings
  • Command Auditing - Searchable execution history

🧠 AI-Powered Assistance

  • Intelligent Recommendations - Context-aware tool suggestions
  • Workflow Generation - Automated multi-step process creation
  • Performance Optimization - AI-guided tool selection

🎯 Why Enhanced MCP Tools?

Feature Traditional Tools Enhanced MCP Tools
Integration Manual CLI calls Native MCP protocol
AI Assistance No context sharing Full context awareness
Error Handling Basic exit codes Rich error reporting with suggestions
Progress Tracking Silent execution Real-time progress updates
Type Safety Runtime errors Compile-time validation

🚀 Getting Started

📋 Prerequisites

  • Python 3.10+ (3.11+ recommended)
  • uv package manager (install guide)
  • Git (for git-related tools)

Quick Installation

# Clone the repository
git clone https://github.com/yourusername/enhanced-mcp-tools.git
cd enhanced-mcp-tools

# Install with uv (recommended)
uv sync

# Or install with pip
pip install -e .

🎮 Quick Start

# Start the MCP server
enhanced-mcp

# Or run with uv
uv run enhanced-mcp

# Development mode with inspector
mcp dev enhanced_mcp/mcp_server.py

🎯 Developer Quick Start: Launch mcp dev enhanced_mcp/mcp_server.py and open http://localhost:3000 to interactively test all 50+ tools in your browser!

🔍 MCP Inspector - Interactive Tool Testing

The MCP Inspector is a powerful web-based interface for testing, debugging, and exploring your MCP tools interactively. It's essential for development and verification.

🚀 Quick Inspector Launch

# Launch inspector with the enhanced MCP tools
mcp dev enhanced_mcp/mcp_server.py

# Or use the module path
uv run mcp dev enhanced_mcp.mcp_server:create_server

# For production inspection (if mcp CLI is installed globally)
mcp inspect enhanced-mcp

🎮 Using the Inspector Interface

Once launched, the inspector provides:

📋 Tools Tab - Interactive Tool Testing

# The inspector will show all 50+ tools organized by category:
├── 🔄 diff_patch_*       # Diff and patch operations  
├── 🔀 git_*             # Git integration tools
├── ⚡ sneller_*          # High-performance SQL analytics
├── 🎬 asciinema_*        # Terminal recording tools
├── 🧠 completion_*       # AI-powered recommendations
├── 📁 file_ops_*         # Enhanced file operations
├── 🔍 search_analysis_*  # Advanced search and analysis
├── 🏗️ dev_workflow_*     # Development workflow tools
├── 🌐 network_api_*      # Network and API tools
├── 📦 archive_*          # Archive and compression
├── 🔬 process_tracing_*  # Process tracing tools
├── 🌍 env_process_*      # Environment management
└── 🛠️ utility_*          # Utility tools

🧪 Interactive Testing Examples

1. Test Git Integration:

# In the inspector Tools tab, find "git_git_status"
# Set parameters:
repository_path: "."
include_untracked: true

# Click "Execute" to see comprehensive git status

2. Test Sneller Analytics:

# Find "sneller_query" tool
# Parameters:
sql_query: "SELECT COUNT(*) as total FROM events"
data_source: "sample_data.json"
output_format: "json"
performance_hints: true

# Execute to see high-performance analytics in action

3. Test Asciinema Recording:

# Find "asciinema_record" tool  
# Parameters:
session_name: "test_demo"
max_duration: 60
visibility: "private"
auto_upload: false

# Creates a test recording session

4. Test AI Recommendations:

# Find "completion_recommend_tools" tool
# Parameters:
task_description: "I need to analyze my Python codebase for issues"
working_directory: "./src"
performance_priority: "comprehensive"
include_examples: true

# Get intelligent tool recommendations

📚 Resources Tab (if implemented)

  • Browse available data resources
  • Test resource URIs and templates
  • View resource metadata

💬 Prompts Tab (if implemented)

  • Test prompt templates
  • Preview prompt generation with parameters
  • Validate prompt arguments

🛠️ Inspector Development Workflow

# 1. Start development with inspector
mcp dev enhanced_mcp/mcp_server.py

# 2. Open browser to inspector URL (usually http://localhost:3000)

# 3. Test individual tools interactively:
#    - Navigate to Tools tab
#    - Select a tool from the dropdown
#    - Fill in parameters using the form
#    - Click "Execute" to run the tool
#    - Review JSON results and any error messages

# 4. Debug and iterate:
#    - Check console logs for detailed error messages
#    - Modify tool parameters and re-test
#    - Use inspector logs to debug tool behavior

# 5. Test tool combinations:
#    - Use results from one tool as input to another
#    - Build complex workflows step by step
#    - Validate tool integration points

🎯 Inspector Best Practices

Practice Description Why Important
Start with Simple Tools Test git_git_status or file_ops_file_backup first Verify basic functionality
Use Dry Run Mode Set dry_run=true for destructive operations Prevent accidental changes
Test Error Conditions Try invalid parameters and edge cases Ensure robust error handling
Check Performance Monitor execution time for heavy operations Optimize slow tools
Validate Output Verify JSON structure and content Ensure consistent responses

🚨 Common Inspector Issues & Solutions

Issue Solution
"Server not found" Check that enhanced-mcp is in PATH or use uv run
"Tools not loading" Verify all imports in mcp_server.py are working
"Permission denied" Run inspector with appropriate file system permissions
"Tool execution timeout" Increase timeout or optimize tool performance
"Invalid parameters" Check tool documentation for required parameter types

📖 Inspector URL & Navigation

# After running `mcp dev`, open in browser:
http://localhost:3000

# Inspector sections:
├── 🔧 Tools        # Test all MCP tools interactively
├── 📚 Resources    # Browse available resources  
├── 💬 Prompts      # Test prompt templates
├── 📊 Logs         # View execution logs and errors
└── ⚙️ Settings     # Configure inspector options

💡 Pro Tip: Keep the inspector open during development! It's invaluable for rapid testing and debugging of new tools.

⚙️ Configuration

🍎 Claude Desktop Setup

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "enhanced-tools": {
      "command": "uv",
      "args": ["run", "enhanced-mcp"],
      "cwd": "/full/path/to/enhanced-mcp-tools",
      "env": {
        "UV_PROJECT_ENVIRONMENT": ".venv"
      }
    }
  }
}

🖥️ Cursor IDE Setup

{
  "mcp": {
    "servers": {
      "enhanced-tools": {
        "command": "enhanced-mcp",
        "cwd": "/path/to/enhanced-mcp-tools"
      }
    }
  }
}

🐋 Docker Setup

# Quick start with Docker
docker-compose up -d

# Or build locally
docker build -t enhanced-mcp-tools .
docker run -p 8000:8000 enhanced-mcp-tools

🛠️ Available Tools

Our comprehensive toolkit is organized into 13 specialized categories with 50+ tools:

🔄 Diff/Patch Operations - Advanced file comparison and patching
Tool Description Status
diff_generate_diff Create unified diffs between files/directories
diff_apply_patch Apply patch files with conflict resolution
diff_create_patch_file Generate reusable patch files
🔀 Git Integration - Smart version control operations
Tool Description Status
git_git_status Comprehensive repository status
git_git_diff Intelligent diff formatting
git_git_commit_prepare AI-suggested commit messages
git_git_grep Advanced git grep with annotations
📁 Enhanced File Operations - Powerful file management
Tool Description Status
file_watch_files Real-time file monitoring
file_bulk_rename Pattern-based bulk renaming
file_file_backup Timestamped backups with compression
🔍 Advanced Search & Analysis - Intelligent code analysis
Tool Description Status
search_search_and_replace_batch Multi-file search/replace with preview
search_analyze_codebase Comprehensive project analytics
search_find_duplicates Advanced duplicate detection
🏗️ Development Workflow - Streamlined development process
Tool Description Status
dev_run_tests Multi-framework test execution
dev_lint_code Multi-linter code analysis
dev_format_code Auto-formatting with standard tools
🌐 Network & API Tools - Advanced networking capabilities
Tool Description Status
net_http_request Advanced HTTP client with streaming
net_api_mock_server Lightweight mock API server
📦 Archive & Compression - File archival operations
Tool Description Status
archive_create_archive Multi-format archive creation
archive_extract_archive Smart archive extraction
archive_compress_file Individual file compression
archive_list_archive Archive content inspection
🔬 Process Tracing - System monitoring and analysis
Tool Description Status
trace_trace_process System call tracing
trace_process_monitor Real-time process monitoring
trace_analyze_syscalls System call analysis
🌍 Environment Management - System and environment control
Tool Description Status
env_environment_info Comprehensive system information
env_manage_virtual_env Virtual environment management
env_process_tree Process hierarchy visualization
🛠️ Utility Tools - Essential development utilities
Tool Description Status
util_generate_documentation Auto-generate docs from code
util_project_template Project scaffolding
util_dependency_check Dependency analysis and updates
Sneller Analytics - High-performance vectorized SQL on JSON
Tool Description Status
sneller_query Lightning-fast vectorized SQL queries (TB/s throughput)
sneller_optimize SQL query optimization for maximum performance
sneller_setup Configure Sneller for optimal hardware utilization

🚀 Performance Features:

  • 1GB/s/core processing with AVX-512 vectorization
  • Schemaless JSON querying without ETL overhead
  • Hybrid columnar/row storage with compression
  • S3-native with bucketized zion format
🎬 Asciinema Integration - Terminal recording and sharing
Tool Description Status
asciinema_record Record terminal sessions with metadata
asciinema_search Search recordings with advanced filtering
asciinema_playback Generate playback URLs and embedding code
asciinema_auth Manage asciinema.org authentication
asciinema_upload Upload recordings with privacy controls
asciinema_config Configure recording settings and destinations

🎥 Recording Features:

  • Automatic auditing of command executions
  • Public/private sharing with asciinema.org integration
  • Embeddable players with custom themes and controls
  • Searchable database with rich metadata
🧠 Intelligent Completion - AI-powered tool recommendations
Tool Description Status
completion_recommend_tools Get intelligent tool suggestions for tasks
completion_explain_tool Detailed explanations with usage examples
completion_suggest_workflow Generate multi-step workflows automatically

🤖 AI Features:

  • Context-aware recommendations based on project structure
  • Performance-optimized tool selection for different use cases
  • Workflow generation with automation scripts
  • Usage pattern learning for improved suggestions

🎯 Tool Usage Patterns

# Example: Lightning-fast SQL analytics with Sneller
await sneller_query(
    sql_query="SELECT user_id, COUNT(*) FROM events WHERE timestamp > '2024-01-01' GROUP BY user_id",
    data_source="s3://my-bucket/events/*.json",
    output_format="json"
)

# Example: AI-powered tool recommendations
await completion_recommend_tools(
    task_description="I need to analyze my codebase for performance issues",
    performance_priority="speed",
    working_directory="./src"
)

# Example: Terminal session recording for demos
await asciinema_record(
    session_name="api_demo",
    auto_upload=True,
    visibility="public",
    title="API Testing Demo"
)

# Example: Comprehensive codebase analysis
await search_analyze_codebase(
    directory="./src",
    include_metrics=["loc", "complexity", "dependencies"]
)

# Example: Smart commit preparation
await git_commit_prepare(
    repository_path=".",
    files=["src/main.py", "tests/test_main.py"],
    suggest_message=True
)

# Example: Batch file operations with backup
await file_bulk_rename(
    directory="./assets",
    pattern=r"IMG_(\d+)",
    replacement=r"photo_\1",
    dry_run=False  # Set to True for preview
)

📚 Usage Examples

🔄 Git Workflow Automation

# Automated commit with AI-generated message
result = await git_commit_prepare(
    repository_path="/path/to/repo",
    files=["src/api.py", "tests/test_api.py"],
    suggest_message=True
)
print(f"Suggested commit: {result['suggested_message']}")
# Semantic search across codebase
matches = await search_code_enhanced(
    query="database connection",
    directory="./src",
    search_type="semantic",
    file_pattern="*.py"
)

for match in matches['results']:
    print(f"Found in {match['file']}: {match['context']}")

High-Performance Analytics with Sneller

# Lightning-fast JSON analytics (TB/s performance)
result = await sneller_query(
    sql_query="""
    SELECT 
        date_trunc('hour', timestamp) as hour,
        COUNT(*) as events,
        AVG(response_time) as avg_response
    FROM s3://logs/events/*.json 
    WHERE status = 200 
    GROUP BY hour 
    ORDER BY hour DESC
    """,
    data_source="s3://my-data-lake/",
    performance_hints=True,
    cache_results=True
)

# Query optimization for maximum performance
optimization = await sneller_optimize(
    sql_query=original_query,
    optimization_level="aggressive",
    target_use_case="analytics"
)
print(f"Estimated speedup: {optimization['estimated_speedup']}")

🎬 Terminal Recording & Sharing

# Record a demo session
recording = await asciinema_record(
    session_name="deployment_demo",
    command="./deploy.sh production",
    auto_upload=True,
    visibility="public",
    title="Production Deployment Process"
)

# Search and replay recordings
results = await asciinema_search(
    query="deployment",
    date_range={"start": "2024-01-01", "end": "2024-12-31"},
    uploaded_only=True
)

# Generate embeddable player
playback = await asciinema_playback(
    recording_id=recording['recording_id'],
    autoplay=True,
    theme="solarized-dark"
)

🧠 AI-Powered Tool Assistance

# Get intelligent tool recommendations
recommendations = await completion_recommend_tools(
    task_description="I need to optimize my CI/CD pipeline performance",
    working_directory="./",
    performance_priority="speed",
    include_examples=True
)

for rec in recommendations['recommendations']:
    print(f"Tool: {rec['tool_name']} - {rec['primary_reason']}")

# Get detailed tool explanations
explanation = await completion_explain_tool(
    tool_name="sneller_query",
    include_examples=True,
    use_case_focus="real-time analytics"
)

# Generate complete workflows
workflow = await completion_suggest_workflow(
    goal_description="Set up automated testing and deployment",
    automation_level="semi-automated",
    time_budget="2 hours"
)

📊 Project Analytics

# Comprehensive codebase analysis
analysis = await analyze_codebase(
    directory="./",
    include_metrics=["loc", "complexity", "dependencies"]
)

print(f"Lines of Code: {analysis['metrics']['total_loc']}")
print(f"Complexity Score: {analysis['metrics']['avg_complexity']}")

🧪 Testing & Quality Assurance

# Run tests with coverage
test_results = await run_tests(
    test_path="./tests",
    coverage=True,
    framework="auto-detect"
)

# Format code automatically
await format_code(
    file_paths=["src/main.py", "src/utils.py"],
    formatter="black"
)

# Comprehensive linting
lint_results = await lint_code(
    file_paths=["src/"],
    fix=True,
    linters=["ruff", "mypy"]
)

🏗️ Architecture

🧩 Modular Design

Enhanced MCP Tools uses FastMCP's MCPMixin pattern for maximum modularity and extensibility:

📦 MCPToolServer (Main Server)
├── 🔄 DiffPatchOperations
├── 🔀 GitIntegration  
├── 📁 EnhancedFileOperations
├── 🔍 AdvancedSearchAnalysis
├── 🏗️ DevelopmentWorkflow
├── 🌐 NetworkAPITools
├── 📦 ArchiveCompression
├── 🔬 ProcessTracingTools
├── 🌍 EnvironmentProcessManagement
├── 🛠️ UtilityTools
├── ⚡ SnellerAnalytics (NEW)
├── 🎬 AsciinemaIntegration (NEW)
└── 🧠 IntelligentCompletion (NEW)

🚀 Performance Optimizations

  • Async-First: All operations are asynchronous for maximum throughput
  • Streaming Support: Large file operations with progress reporting
  • Memory Efficient: Smart caching and lazy loading
  • Type Safe: Full Pydantic validation for all inputs/outputs

🛡️ Security Features

  • Input Validation: Comprehensive parameter validation
  • Path Sanitization: Secure file path handling
  • Resource Limits: Configurable timeouts and size limits
  • Error Isolation: Graceful error handling without system exposure

🧪 Testing

🔬 Test Suite

# Run all tests
uv run pytest

# Run with coverage
uv run pytest --cov=enhanced_mcp --cov-report=html

# Run specific test categories
uv run pytest tests/test_git_integration.py -v

# Performance benchmarks
uv run pytest tests/benchmarks/ --benchmark-only

🎯 Interactive Testing with MCP Inspector

The MCP Inspector is your primary tool for interactive testing and development:

# Launch inspector for comprehensive tool testing
mcp dev enhanced_mcp/mcp_server.py

# Then open http://localhost:3000 to:
# ✅ Test all 50+ tools interactively
# ✅ Validate tool parameters and responses  
# ✅ Debug tool execution and error handling
# ✅ Explore tool combinations and workflows
# ✅ Monitor performance and execution times

Recommended Testing Workflow:

  1. Start with Inspector - Test new tools interactively
  2. Write Unit Tests - Cover edge cases and error conditions
  3. Integration Tests - Verify tool combinations work together
  4. Performance Tests - Ensure tools meet speed requirements

📊 Test Coverage

Module Coverage Status
Core Server 95%
Git Integration 92%
File Operations 88%
Search & Analysis 85%
Network Tools 90%

🎯 Integration Testing

# Test MCP server startup
timeout 5 uv run enhanced-mcp || echo "✅ Server started successfully"

# Interactive testing with MCP inspector (RECOMMENDED)
mcp dev enhanced_mcp/mcp_server.py
# Then open http://localhost:3000 for comprehensive tool testing

# Direct tool execution testing
uv run python -c "
import asyncio
from enhanced_mcp.git.git_integration import GitIntegration
git = GitIntegration()
print(asyncio.run(git.git_status('.', include_untracked=True)))
"

# Test specific tool categories
uv run python -c "
import asyncio
from enhanced_mcp.sneller_analytics import SnellerAnalytics
sneller = SnellerAnalytics()
result = asyncio.run(sneller.sneller_query(
    'SELECT COUNT(*) as total', 
    'test_data.json'
))
print(result)
"

🚀 Quick Integration Test Checklist:

  • Server starts without errors (enhanced-mcp)
  • Inspector loads all tools (mcp dev ...)
  • Git tools work in a repository
  • File operations respect permissions
  • Sneller tools provide performance metrics
  • Asciinema tools handle recording paths
  • AI completion provides relevant suggestions
## 📦 Deployment

### 🐋 **Docker Deployment**

```dockerfile
# Production-ready Dockerfile included
FROM python:3.11-slim

WORKDIR /app
COPY . .

RUN pip install uv && uv sync --frozen
EXPOSE 8000

CMD ["uv", "run", "enhanced-mcp"]
# Quick deployment
docker-compose up -d

# Custom build
docker build -t enhanced-mcp-tools .
docker run -p 8000:8000 enhanced-mcp-tools

⚙️ Production Setup

Systemd Service
# /etc/systemd/system/enhanced-mcp-tools.service
[Unit]
Description=Enhanced MCP Tools Server
After=network.target

[Service]
Type=simple
User=mcp
WorkingDirectory=/opt/enhanced-mcp-tools
ExecStart=/opt/enhanced-mcp-tools/.venv/bin/enhanced-mcp
Restart=always
RestartSec=5

[Install]
WantedBy=multi-user.target
sudo systemctl enable enhanced-mcp-tools
sudo systemctl start enhanced-mcp-tools
Kubernetes Deployment
apiVersion: apps/v1
kind: Deployment
metadata:
  name: enhanced-mcp-tools
spec:
  replicas: 3
  selector:
    matchLabels:
      app: enhanced-mcp-tools
  template:
    metadata:
      labels:
        app: enhanced-mcp-tools
    spec:
      containers:
      - name: enhanced-mcp-tools
        image: enhanced-mcp-tools:latest
        ports:
        - containerPort: 8000
        resources:
          requests:
            memory: "256Mi"
            cpu: "250m"
          limits:
            memory: "512Mi"
            cpu: "500m"

🔧 Environment Variables

Variable Description Default
MCP_LOG_LEVEL Logging level INFO
MCP_HOST Server host localhost
MCP_PORT Server port 8000
MCP_TIMEOUT Operation timeout (seconds) 300

🤝 Contributing

We welcome contributions! Here's how to get started:

🚀 Quick Start for Contributors

# Fork and clone
git clone https://github.com/yourusername/enhanced-mcp-tools.git
cd enhanced-mcp-tools

# Set up development environment
uv sync --all-extras
uv run pre-commit install

# Create feature branch
git checkout -b feature/amazing-new-tool

# Make your changes and test
uv run pytest
uv run ruff check .
uv run black --check .

# Commit and push
git add .
git commit -m "✨ Add amazing new tool"
git push origin feature/amazing-new-tool

🛠️ Adding New Tools

  1. Create a new mixin class following the established pattern:
from fastmcp.contrib.mcp_mixin import MCPMixin, mcp_tool
from pydantic import Field
from typing import Dict, Any, Optional

class MyCustomTools(MCPMixin):
    @mcp_tool(
        name="my_awesome_tool",
        description="Does something awesome for developers"
    )
    async def my_awesome_tool(
        self,
        input_param: str = Field(description="Main input parameter"),
        optional_param: int = Field(default=10, description="Optional parameter"),
        ctx: Optional[Context] = None
    ) -> Dict[str, Any]:
        """
        Implementation of your awesome tool.
        
        Returns:
            Dict containing results and metadata
        """
        if ctx:
            await ctx.log_info(f"Processing {input_param}")
            await ctx.report_progress(0.5, "Halfway done...")
        
        # Your implementation here
        result = {"status": "success", "data": input_param}
        
        if ctx:
            await ctx.report_progress(1.0, "Complete!")
        
        return result
  1. Register with the server in mcp_server.py:
# Add to MCPToolServer.__init__
self.my_tools = MyCustomTools()

# Add to register_all_tools method  
self.my_tools.register_all(self.mcp, prefix="my")
  1. Add comprehensive tests in tests/test_my_tools.py

📋 Development Guidelines

  • Code Style: We use black and ruff for formatting and linting
  • Type Hints: Full type annotations required
  • Documentation: Docstrings for all public methods
  • Testing: Minimum 80% test coverage
  • Async First: All I/O operations must be async
  • Error Handling: Graceful error handling with meaningful messages

🏆 Recognition

Contributors are recognized in our Contributors Hall of Fame!

📈 Roadmap

🎯 Upcoming Features

  • Web UI Dashboard - Visual interface for tool management
  • Plugin System - Third-party tool extensions
  • AI Code Review - Automated code quality suggestions
  • Performance Profiler - Built-in performance analysis
  • Team Collaboration - Multi-user workspace support

🔄 Recent Updates

  • v1.0.0 - Initial release with 50+ tools across 13 categories
  • Sneller Integration - High-performance vectorized SQL analytics (TB/s)
  • Asciinema Support - Complete terminal recording and sharing solution
  • Intelligent Completion - AI-powered tool recommendations and workflow generation
  • Enhanced Search - Semantic code search capabilities
  • Advanced Git Tools - Smart commit preparation with AI suggestions
  • Process Tracing - Cross-platform system call monitoring
  • Archive Operations - Multi-format compression and extraction

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

  • FastMCP - The foundation that makes this possible
  • Model Context Protocol - The protocol specification
  • Our Contributors - Amazing developers who make this project better

Built with ❤️ by the Enhanced MCP Tools team

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