A protocol interface that extends AI capabilities by enabling models to interact with external systems for calculations, email operations, knowledge search, and more.
A protocol implementation that extends AI capabilities by enabling language models to interact with external systems through remote control, notes, email operations, and knowledge search.
Enables AI agents to perform web searches, extract webpage content, and conduct end-to-end search-and-extract operations using multiple search providers and content extraction methods.
Enables RAG-powered documentation search using OpenAI embeddings and Pinecone vector database. Provides an extensible framework for adding additional tools with support for both local STDIO and production HTTP transports.
Enables AI agents to search, fetch, and clean live documentation from LangChain, LlamaIndex, and OpenAI via Model Context Protocol, with token-optimized extraction.