# Knowledge retrieval

The Ragie Model Context Protocol server provides knowledge base retrieval capabilities

The Ragie Model Context Protocol Server provides knowledge base retrieval capabilities for AI models and supports querying relevant information in the Ragie knowledge base through the MCP protocol.

The GPTers Search MCP Server is an MCP server that provides knowledge search services for the GPTers AI learning community, supporting the retrieval of community content through the MCP protocol to clients.

A code knowledge management tool based on vector embedding, used to maintain and query code library knowledge, supporting local storage and RAG enhancement.

A Wikipedia search service based on the MCP protocol, providing a structured interface for AI to access Wikipedia content.

An MCP server based on TypeScript that can crawl website content and store it in the Qdrant vector database, providing a Q&A tool for users to query the indexed content.

This project is a list of MCP servers implemented in Go, including multiple services for natural language processing and database interaction, such as text-to-SQL and knowledge base retrieval. It supports multiple platforms, is open-source, and free of charge.

The R2R MCP Server is a service that integrates the Model Context Protocol (MCP) with the R2R system, providing interaction capabilities with MCP-compatible models such as Claude, and supporting functions such as knowledge base access, context search, and Retrieval Augmented Generation (RAG).

The MCP application is a service that combines RAG and web search tools, using OpenAI embedding vector storage, PostgreSQL as the database, and PGVector as the vector storage, supporting knowledge retrieval and document addition functions.

An MCP protocol server based on TypeScript, used for AI assistants to discover and access a structured Markdown instruction library. Provide centralized knowledge base management through a standardized interface, supporting instruction search, version control, and consistency maintenance.

The Valyu MCP Server is an AI model context protocol tool that can obtain high-quality context data through the Valyu API, supporting Wikipedia, arXiv papers, and web searches.

This is an MCP server for interacting with the Agile Practice Map. It retrieves information about agile practices from the knowledge base through a large - language model and provides query, listing, and resource access functions.