A secure MCP server providing intelligent documentation search across multiple frameworks using ChromaDB vector storage, enabling semantic search and integration with AI tools.
A read-only MCP server that provides searchable access to the Shelby documentation bundle for MCP-compatible clients. It enables users to search, list, and read documentation pages directly within AI tools and IDEs.
A read-only MCP server that provides document awareness for agents by parsing local files into structured profiles, blocks, chunks, and search results, enabling agents to understand and cite document content without dealing with raw file formats.
Local documentation search server for AI models using hybrid retrieval (phrase, keyword, vector). Provides MCP tools to search and fetch documentation from bundled or custom doc sets without any external API keys.
MCP server for documentation search that automatically indexes web documentation sites and provides semantic, full-text, or hybrid search capabilities.