The Biel.ai MCP server connects the IDE to product documentation and enables AI tools to access and search the company's knowledge base through RAG technology, providing intelligent code completion and technical Q&A.

A document retrieval system based on MongoDB Atlas vector search and Voyage AI embedding technology, supporting semantic search and text matching, including document chunking, embedding generation, and storage functions.

The Memvid MCP Server is an AI service interface based on video memory technology, supporting encoding content such as text and PDFs into video formats and providing semantic search and conversation functions.

This is an MCP server project that enables direct search and retrieval of SAP Notes/KB article content through SAP Passport certificate authentication and Playwright automated browser technology.

A privacy-friendly web search server based on MCP technology, using SearXNG to achieve multi-engine search functions, supporting multiple search categories and filtering options.

YouTube MCP is an AI-based solution designed to enhance the YouTube content interaction experience through machine learning technology. It supports video search, subtitle access, and semantic search without using the official API.

The Claude Project Coordinator is an MCP server for managing and coordinating multiple Xcode/Swift projects, providing project status tracking, code pattern search, and development knowledge base maintenance functions. It includes features such as security verification, project analysis, and automated technology detection.

Open Deep Research MCP Server is an AI - driven deep research assistant that conducts iterative deep research by combining search engines, web scraping, and AI technology to generate comprehensive reports. It supports two usage methods: MCP protocol and CLI, and has functions such as reliability assessment, scope control, and automatic generation of follow - up questions.

MCP Memory is a memory storage service built on Cloudflare Workers, providing cross - conversation memory functions for MCP clients and using vector search technology to achieve semantic - related memory retrieval.

A Godot documentation query assistant based on Retrieval Augmented Generation (RAG), achieving intelligent Q&A through vectorization technology and semantic search.

This project is a remote MCP server dedicated to querying the documentation of the ATproto protocol. It is deployed through Cloudflare and uses AutoRAG technology to extract information from the public ATproto documentation, providing developers with a convenient document search tool.

RagCode MCP is a privacy-first local AI code assistant that enables AI assistants to understand the entire codebase through semantic vector search and RAG technology. It supports multiple languages such as Go, PHP, and Python, without relying on the cloud.

An MCP server that provides Google Search and web content viewing functions, with advanced anti - crawler evasion technology

Criterion is an AI - based Islamic knowledge assistant that provides authoritative guidance through the Quran and Hadith. It uses semantic search and real - time streaming response technology, is permanently free, and focuses on core doctrines.

Apple RAG MCP is a retrieval-augmented generation system that provides Apple development expertise for AI agents. It integrates official Swift documentation, design guides, and Apple Developer YouTube content, and provides accurate technical answers through AI-driven hybrid search technology.

An intelligent search engine that combines LangChain, MCP protocol, RAG technology, and Ollama, supporting web search, information retrieval, and answer generation, with the ability to call local and cloud LLMs.

This is a PostgreSQL semantic search server based on the Model Context Protocol (MCP) standard. It enables AI assistants to understand the semantic structure of the database and execute natural language queries through vector embedding technology.

An experimental Google Search MCP server that provides enhanced search capabilities through web scraping technology, including advanced anonymization and anti - detection features, but there is a risk of being restricted by Google.

A web search MCP service based on pure crawler technology, supports Bing web and news searches, does not require an official API, and includes intelligent anti - detection and URL cleaning functions.

The Build Vault MCP server transforms The Build Podcast into a searchable knowledge base. Through hybrid search technology that combines semantic similarity and full-text search, it provides AI insights into business ideas, frameworks, and product strategies.