# Document Retrieval

The OpenTK MCP Server is a standardized interface that connects large language models with Dutch Parliament data. It is built on Bert Hubert's OpenTK project and provides access to Dutch Parliament documents, debates, and member information.

A document semantic search service based on the Qdrant vector database, supporting URL and local file imports and providing natural language query functions.

An MCP server based on TypeScript that implements a Retrieval Augmented Generation (RAG) system for local documents, supporting querying and indexing of Git repositories and text files.

A Node.js-based vector search project that uses the LanceDB database and Ollama embedding model to implement document similarity search functionality

An MCP server that provides file semantic search functionality, enabling intelligent retrieval of document contents through vector embedding

This project implements a document retrieval server based on the Model Context Protocol (MCP), which can dynamically obtain the latest official documentation content of Python libraries for AI assistants. It supports libraries such as LangChain, LlamaIndex, and OpenAI, conducts efficient searches through the SERPER API, and uses BeautifulSoup to parse HTML content. The project is designed to be extensible, facilitating the addition of support for more libraries.

DOCRET is a server project based on the MCP protocol, aiming to provide AI assistants with the ability to dynamically retrieve the latest official documentation of Python libraries.

An MCP server that provides access to Astro documentation for AI agents, supporting document retrieval and frequently asked questions

The RAG Document MCP Server is a vector search-based document processing tool that provides document retrieval and context enhancement functions for AI assistants.

An intelligent research assistant integrating Perplexity AI, providing functions such as search, document retrieval, API discovery, and code modernization check, supporting context tracking and efficient API management.

An MCP server for document retrieval and processing based on vector search, providing document enhancement functions for AI assistants

This project provides two MCP server implementations that connect Claude Desktop to Azure search capabilities, supporting searches for document and web content through the Azure AI Agent Service (recommended) or direct Azure AI Search integration.

Kollektiv MCP is a remote Model Context Protocol server based on Cloudflare Workers, supporting users to access their own documents through IDE clients for RAG operations. It is currently in the pre-release development stage.

A multi - functional document processing MCP server that supports scraping, processing, and intelligently retrieving third - party software package documentation from multiple sources, integrates the OpenRouter multi - model API, and provides hybrid search capabilities.

This project provides two implementations of the MCP server, connecting Claude Desktop with Azure search capabilities and supporting document and web content search through Azure AI agent service (recommended) or direct Azure AI Search integration.

The MCP LLMS - TXT documentation server is an open - source tool that allows developers to fully control the document retrieval tools used by IDEs (such as Cursor, Windsurf, etc.) through the MCP protocol, providing customized management and auditing functions for llms.txt files.

An MCP service for document retrieval based on vector search, providing relevant document context to enhance the response ability of AI assistants

LegalContext is an open - source MCP server that securely connects the Clio document management system with the Claude AI assistant, enabling local legal document processing and retrieval.

An implementation of the MCP server based on Node.js and TypeScript, providing document management, context retrieval, and question - answering functions, and supporting multiple transmission methods and configuration options.

The Runbook MCP server is a service that integrates the Runbook document platform, providing document retrieval, listing, and search functions.

A research - level MCP server implementation that interacts with the Perplexity website without an API key, providing AI - driven research functions such as web search, document retrieval, API lookup, and code analysis.

ClaudeHopper is an AI-based construction document assistance tool that enables intelligent interaction with construction drawings and specification documents through RAG and hybrid search technologies.

Hyperspell integration project, providing MCP service configuration and document retrieval functions

An MCP service for document retrieval based on vector search, providing relevant document context for AI assistants to enhance their answering ability

This project is a collection of multimodal model context protocol servers by Pixeltable, providing indexing and querying services for audio, video, images, and documents, and supporting local Docker deployment.

Rememberizer's MCP server provides the ability to interact with document and knowledge management APIs for large language models