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.; fred-mcp-server: The FRED MCP Server provides universal access to over 800,000 Federal Reserve Economic Data (FRED) time series through three powerful tools: fred_browse, fred_search, and fred_get_series. It supports browsing categories, searching keywords, and retrieving series data with transformations and date ranges. The server can be installed via Smithery, manual setup, or Docker, and requires a FRED API key.
Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
Analyze economic trends and indicators