Hybrid semantic search (dense vector + BM25) over local knowledge bases and codebases, exposed as MCP tools for AI agents to search and list knowledge bases.
Provides a semantic search interface that enables discovery and routing across over 1,000 local MCP tools using natural language queries. It leverages hybrid search and embeddings to accurately match user intent with tool names and descriptions.
Enables searching and retrieving details of 9,000+ MCP servers from the Agent Almanac catalog, allowing agents to discover, inspect, and install tools directly.
Hybrid retrieval MCP server for searching team markdown journals using BM25 and local vector embeddings, with tools for search, browse, and regex lookup.
An MCP server that provides a unified hybrid-search interface over Slack, wikis, code, and databases, enabling agents and humans to query scattered knowledge with exact and semantic search.