# Document Search

An MCP server project that enhances the document search capabilities of Claude AI, supports multi-AI/ML library document search, and integrates Claude reasoning capabilities and intelligent web search.

A custom MCP server designed for Claude, supporting the search of Python library documentation

This is a Python - based MCP server project that supports searching documents from popular libraries such as LangChain, LlamaIndex, and OpenAI through the Serper API and uses BeautifulSoup to extract web page content.

The MCP server project for the Fuel Network and Sway language, providing local document indexing and semantic search functions, and supporting IDE integration.

An MCP server for searching and accessing Lark documents, supporting document content retrieval and Wiki search, providing OAuth authentication and error handling functions.

The MCP server and CLI tool of Anna's Archive are used to search for and download documents on the platform and support access through an API key.

A server based on the Model Context Protocol for interacting with Rememberizer's document and knowledge management API, enabling large - language models to search, retrieve, manage documents, and integrate.

The Metal MCP server provides document search and code generation functions for the Metal framework

ClaudeHopper is an AI-driven building document assistant that enables direct interaction with building drawings and specifications through RAG and hybrid search technologies.

An MCP service that connects to SharePoint via the Microsoft Graph API, providing document access and search functions

An MCP server for scraping and searching third-party package documentation, supporting asynchronous scraping, semantic chunking, vector embedding, and hybrid search functions.

The Metal MCP Server provides document search and code generation functions for the Metal framework, supporting natural language queries and code generation in multiple programming languages.

This project is a Python - based implementation of the MCP (Model Context Protocol) server and client, aiming to provide standardized interfaces for AI models, unify the tool call formats of different large - model vendors, and integrate document search functions for multiple AI frameworks.

An MCP server project based on Nablarch documents, providing document search and conversion functions, and supporting rapid deployment with Docker.

A document search and retrieval server based on the Model Context Protocol (MCP), supporting local storage and Confluence integration, providing semantic search capabilities, and extensible to multiple document services.

This is a Python-based MCP server that supports searching for documentation of LangChain, LlamaIndex, and OpenAI through the Serper API and uses BeautifulSoup to extract web page content.

An MCP server for retrieving, parsing, and reading RFC documents from ietf.org, providing tools and resources for programmatic access to RFCs.

Ref MCP is a Model Context Protocol server that provides AI programming tools or agents with access to documentation for APIs, services, libraries, etc. It is a one-stop solution to keep agents updated on documentation in a fast and token-efficient manner.

An MCP server for accessing Rust documentation, supporting document search, type information, feature flags, version numbers, and symbol definition/source code queries from docs.rs.