An MCP server that provides AI agents with access to over 20 knowledge sources including arXiv, GitHub, YouTube, Wikipedia, and more for reading and searching content.
An intelligent MCP server that enables AI agents to crawl, index, and semantically search official framework documentation using local RAG. It prevents hallucinations by providing precise, up-to-date documentation excerpts directly into the AI's context window.
Local MCP server that indexes documentation from URLs/files into a vector database, enabling coding agents to search and use up-to-date library and API documentation.
Provides a local MCP server for searching and retrieving documentation from 22+ open-source projects, enabling AI coding assistants to access up-to-date docs without network dependency.
An MCP server that retrieves documentation from official sources (LangChain, LlamaIndex, OpenAI, uv) using Serper API, extracts page content, and provides context for LLM-based answers.
Self-hosted MCP server that indexes documentation from various sources and makes it searchable by AI assistants via the Model Context Protocol and REST API.