Enables users to search and fetch documentation from supported libraries (langchain, llama-index, openai, uv) as clean, readable text, which can be used as context for answering questions.
Enables AI models to search and retrieve up-to-date technical documentation for supported agent frameworks such as LangChain, LlamaIndex, AutoGen, Agno, OpenAI Agents SDK, MCP, Camel-AI, and CrewAI, returning extracted web page text over stdio or SSE.
Enables users to search and retrieve up-to-date technical documentation for popular agent frameworks such as LangChain, LlamaIndex, AutoGen, Agno, OpenAI Agents SDK, MCP, Camel AI, and CrewAI. It does this by performing site-specific web searches and extracting page text through a standardized MCP interface over stdio or SSE.
Provides AI models with direct access to documentation for over 600 technologies from DevDocs.io, including popular languages, frameworks, and tools. It enables comprehensive searching, content retrieval, and offline access via an intelligent local caching system.