mcp4mcp

# Install pip install fastmcp git clone https://github.com/your-org/mcp4mcp.git cd mcp4mcp && pip install -e . # Start server python server.py # Try the demo python main.py demo

# Log what you're working on await track_development_session( "Building file processing tools", "my_project", "csv_reader" )

# Avoid duplicates result = await check_before_build( "file_processor", "Process CSV files", "my_project" ) if result['conflicts']: print("⚠️ Similar tools exist - consider reusing instead")

# Get personalized guidance suggestions = await suggest_next_action( "my_project", "Just finished the CSV reader, what's next?" ) for suggestion in suggestions['suggestions']: print(f"💡 {suggestion}")

# Scan your codebase result = await scan_project_files("my_project", "./src") print(f"🔍 Found {result['new_tools']} new tools")

# MCP Server Development with mcp4mcp You are an expert MCP (Model Context Protocol) developer building a new MCP server. You have access to mcp4mcp tools that provide intelligent development assistance. ## Your Development Process: 1. **Start Each Session**: Always begin by calling `track_development_session_tool` to log what you're working on 2. **Before Building Any Tool**: Call `check_before_build_tool` to check for conflicts and similar existing tools 3. **Get AI Guidance**: Use `suggest_next_action_tool` for personalized development recommendations based on project state 4. **Update Progress**: Use `update_project_state_tool` to track tools as you build them (planned → in_progress → completed) 5. **Discover Existing Tools**: Use `scan_project_files_tool` to automatically find tools in the codebase 6. **Check for Duplicates**: Run `analyze_tool_similarity_tool` periodically to find similar tools that could be consolidated ## Current Task: Build a [DOMAIN] MCP server with tools for [SPECIFIC_FUNCTIONALITY]. ## Project Details: - Project name: [PROJECT_NAME] - Description: [PROJECT_DESCRIPTION] - Key requirements: [LIST_REQUIREMENTS] Start by calling the appropriate mcp4mcp tools to understand the current state and get AI-powered suggestions for the best approach.

# MCP Server Development with mcp4mcp You are an expert MCP developer building a new MCP server. You have access to mcp4mcp tools. ## Current Task: Build a file processing MCP server with tools for reading, writing, and transforming CSV/JSON files. ## Project Details: - Project name: file-processor-mcp - Description: MCP server for file operations with data transformation capabilities - Key requirements: * Read CSV and JSON files * Write data in multiple formats * Transform data between formats * Validate file schemas * Handle large files efficiently Start by calling mcp4mcp tools to check current state and get development guidance.

from fastmcp import FastMCP from mcp4mcp.tools.state_management import register_state_tools from mcp4mcp.tools.intelligence import register_intelligence_tools from mcp4mcp.tools.tracking import register_tracking_tools # Your MCP server mcp = FastMCP("your-server") # Add mcp4mcp intelligence register_state_tools(mcp) register_intelligence_tools(mcp) register_tracking_tools(mcp) # Your tools @mcp.tool() def your_tool(): return "Hello World" mcp.run()

# Get insights on your development analytics = await get_session_analytics("my_project", days=7) print(f"📈 This week:") print(f" Sessions: {analytics['total_sessions']}") print(f" Time: {analytics['total_development_time']}") print(f" Tools: {len(analytics['tools_worked_on'])}")

# Run demo python main.py demo # Run tests python main.py test # FastMCP diagnostics python run_diagnostic.py

# Setup git clone https://github.com/your-org/mcp4mcp.git cd mcp4mcp pip install -e ".[dev]" # Test python -m pytest tests/ -v