semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.; mxcp: MXCP is a complete methodology for building production-ready MCP servers with enterprise security, data quality, and comprehensive testing. It enables developers to define services with data contracts, implement them in SQL or Python, and enforce security policies with audit trails and drift detection.
Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Build AI-powered data query tools with SQL and Python