MCP Code Analysis Server

# MCP Code Analysis Server Configuration Example # Repository configurations repositories: - url: https://github.com/owner/repo branch: main # Enable domain-driven analysis for this repository enable_domain_analysis: true # Scanner settings scanner: sync_interval: 300 # seconds storage_path: ./repositories exclude_patterns: - __pycache__ - "*.pyc" - .git - venv - node_modules - .env # Parser settings parser: languages: - python chunk_size: 100 # Embeddings configuration embeddings: model: text-embedding-ada-002 batch_size: 100 max_tokens: 8000 generate_interpreted: true # Domain-driven analysis settings domain_analysis: # Enable domain analysis by default for all repositories enabled: false # Chunk size for LLM processing chunk_size: 1000 # Overlap between chunks chunk_overlap: 200 # Minimum confidence for entity extraction min_confidence: 0.7 # Maximum entities per file max_entities_per_file: 50 # Leiden algorithm resolution for context detection leiden_resolution: 1.0 # Minimum entities for a bounded context min_context_size: 3 # Database configuration database: host: localhost port: 5432 database: code_analysis user: codeanalyzer # Password is loaded from POSTGRES_PASSWORD env var # MCP server configuration mcp: host: 0.0.0.0 port: 8080 request_timeout: 30 # GitHub integration github: api_rate_limit: 5000 webhook_endpoint: /webhooks/github # Query settings query: default_limit: 20 max_limit: 100 similarity_threshold: 0.7 include_context: true context_lines: 3 # Logging configuration logging: level: INFO format: json file_enabled: true file_path: logs/mcp-server.log