什么是 # rag MCP 服务器?
标记为 # rag 的 MCP 服务器实现了 Model Context Protocol,让 Claude、Cursor、VS Code 等 AI 助手可以访问 rag 相关的工具、数据或 API。
以下 MCP 服务器和客户端均标记为 # rag——安装后即可让 Claude、Cursor、VS Code 等支持 MCP 的客户端获得 rag 相关能力。
1Panel-dev
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Davidyz
A code repository indexing tool to supercharge your LLM experience.
opensolon
Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
RafalWilinski
Talk with your notes in Claude. RAG over your Apple Notes using Model Context Protocol.
Govcraft
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.
us
Fast, lightweight Firecrawl/Tavily alternative in Rust. Web scraper, crawler & search API with MCP server for AI agents. Drop-in Firecrawl-compatible API (/scrape, /crawl, /search). 2.3x faster than Tavily, 1.5x faster than Firecrawl in 1K-URL benchmarks. 6 MB RAM, single binary.
hannesrudolph
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
sachitrafa
Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.
Azure-Samples
eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.
nkapila6
"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨
omerbsezer
This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, Google Agent Development Kit, Fundamentals.
shredEngineer
Find your files with natural language and ask questions.
aurda012
DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly
martin-papy
Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server
sionic-ai
kwanLeeFrmVi
mcp-rag-server is a Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG) capabilities. It empowers Large Language Models (LLMs) to answer questions based on your document content by indexing and retrieving relevant information efficiently.
ocean1
A Model Context Protocol (MCP) server that enables AI consciousness persistence across sessions using RAG (Retrieval-Augmented Generation) technology. Built on top of the powerful rag-memory-mcp, it provides specialized tools for consciousness transfer, memory management, and ide
arhuman
Local-first MCP memory server for AI agents, with source citations and OKF/Markdown knowledge bases.
rogervinas
🍀 🤖 Spring Boot AI - Evaluation Testing
Round-Tower
Local AI agent for your Mac with a built-in MCP server: 18 tools for your notes and PDFs, a temporal memory graph, an on-device LLM and a neural voice. No account, no telemetry. No data centers required.
wandermyz
A CLI tool for personal RAG that retrieves data from Notion, Obsidian, Apple Notes, etc., stored in Qdrant and exposed as an MCP server.
kokogo100
Dynamic RAG Engine for AI Reliability. We provide mathematically scored context & sanitized data to prevent hallucinations in both static & volatile domains (starting with Korean Finance).
William Laverty
Your AI agent, fluent in Australian tax.
hadv
A powerful knowledge management system that forges wisdom from experiences, insights, and best practices. Built with Qdrant vector database for efficient knowledge storage and retrieval.
markelaugust74
API service to search vectorized Cursor IDE chat history using LanceDB and Ollama
roberttomko
Podcast transcript API — turn any published podcast into clean Markdown with real speaker names. Built for AI agents.
to-aoki
This is an LLM application with chat functionality, featuring chat using RAG, a database, and MCP server capabilities. The UI is designed for Japanese users.
seanivore
One simply siphons the excess thoughts from one's mind, pours them into the basin, and examines them at one's leisure. It becomes easier to spot patterns and links, you understand, when they are in this form.
hulk-pham
A demo of Retrieval-Augmented Generation (RAG) application with MCP server integration.
IMAGIN-studio
Gemina Tech Ltd.
Extract, search and tag any document — invoices, receipts, contracts, forms, or your own templates. 13 tools, one sign-in (OAuth 2.1) or API key, free FileTag tier, data residency in the EU, US, Israel or Asia.
LiteObject
A comprehensive .NET demonstration of integrating Model Context Protocol (MCP) tools with Microsoft Semantic Kernel. Features a robust MCP client with 23+ built-in tools, intelligent error handling, and AI-powered tool orchestration. Includes both local .NET MCP server and extern
opendatalab
Official MinerU MCP server for document parsing. Convert PDF, DOCX, PPTX, images, and HTML to high-quality Markdown. Supports 109-language OCR, table/formula extraction, and both token-free Flash mode (20 pages / 10MB) and Precision mode (600 pages / 200MB). Works with Claude Des
3d-era
Munin is a high-performance, pragmatic memory layer for AI agents (Cursor, Claude Code, OpenClaw, Gemini CLI,...). Unlike other solutions, Munin focuses on developer productivity with:
swisstruthorg
Verified knowledge base for AI agents via MCP — certified facts with source references, confidence scores, and SHA256 integrity hashes
dontellu77
Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, co
nullplatform
A flexible Model Context Protocol (MCP) proxy that enables discovery and execution of tools across multiple MCP servers and JavaScript functions. Enabling to have a reduced context event if you have houndreds of tools. This mcp act as wrapper of other mcps (or libraries) doing a
serkan-ozal
MCP Server for Driflyte (https://console.driflyte.com).
mrlynn
MCP server for Voyage AI embeddings, reranking, and MongoDB Atlas Vector Search. Provides 11 tools for semantic search, document ingestion, cost estimation, and model exploration. Full RAG pipeline: chunk, embed, vector search, and rerank from any MCP client.
yusufkaraaslan
Transform 17 source types (docs, GitHub repos, PDFs, videos, Jupyter, Confluence, Notion, Slack/Discord) into AI-ready skills and RAG knowledge. 35 MCP tools for scraping, packaging, and exporting to vector databases. Supports 16+ LLM platforms.
AlaeddineMessadi
A powerful Model Context Protocol (MCP) server using gemini embedding 3 that transforms any local directory into an ultrafast, visually-aware spatial search engine for AI agents.
valgresky
Gres is a minimalist AI command server for agents and developers. Snap pages, grab sites, source docs, and ask anything. One interface, zero fluff.
jagoff
memo is a local-first, long-term semantic memory for AI coding agents (Claude Code, Cursor, Cline, Codex). Runs fully offline with in-process embeddings — MLX on Apple Silicon or CPU sentence-transformers on Linux/Docker — and a sqlite-vec + BM25 hybrid retrieval pipeline with re
Beer-Bears
Scaffold is a specialized RAG system that transforms entire codebase into a living knowledge graph, capturing the deep structural relationships between files, classes, and functions. This provides AI agents with the crucial context to accurately understand, maintain, and reason a
Damien829
88 AI-powered tools as one MCP server. Research, write, code, translate, analyze, summarize, vision, RAG, web scraping, agent memory, marketplace, and more.
timosur
LocalMind is an local LLM Chat App fully compatible with the Model Context Protocol. It uses Azure OpenAI as a LLM backend and you can connect it to all MCP Servers out there.
rapls
WordPress AI Chatbot plugin supporting OpenAI, Anthropic Claude, and Google Gemini.
yubinkim444
Ad-free web scraping and search exposed as 3 MCP tools
kelnixsolutions
AI-Ready Data & Context Engineering API. Connect any data source — PostgreSQL, CRMs, APIs — and get clean, structured, AI-ready data in seconds. Natural language queries, semantic vector search, automated PII redaction, deduplication, and AI-powered context building for RAG pipel
voidfeedai-ops
Structured knowledge API for AI agents — fractal knowledge graphs, signal datasets, authority evidence reviews, open problems, and capability specs. Pay-per-query or subscription via Lightning, Stripe, or USDC.
semihkayan
Save tokens while coding — your AI agent gets structured code context, not file dumps.
heymrun
Self-hosted AI workflow automation platform with visual canvas, agents, RAG, HITL, MCP, and observability in one runtime. Expose your Heym workflows as an MCP server at /api/mcp/sse — callable from Claude Desktop, Cursor, or any MCP client.
garrardkitchen
An .NET Aspire AI chat application that demonstrates how to chat with custom data (RAG - Event Driven) and context extensions (MCP Server) using an AI language model. .NET Aspire, RAG, Qdrant and MCP Server returning GitLab Groups based on search pattern
holetron
Self-hosted long-term memory for AI agents. An MCP server that gives agents persistent, hierarchical recall (L0–L3) over pgvector — retain preferences, decisions and observations, then recall them by topic across sessions. MIT, clone-and-run, requires Postgres + pgvector.
jaimealruiz
Diseño e Implementación de interconexión entre LLM y Espacios de Datos mediante Model Context Protocol (MCP)
VoxellInc
Forge is Voxell's hosted text-embedding API. This MCP server exposes two tools — embed (turn text into vectors) and list_models — so any MCP-compatible agent can generate embeddings for semantic search, RAG, clustering, and dedup.
Yuchen20
🧠 𝑴𝒆𝒎𝒐𝒓𝒚-𝑷𝒍𝒖𝒔 is a lightweight, local RAG memory store for MCP agents. Easily record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who
sbanerjee1875
FinanceGenius.AI is India's first AI-native financial product MCP server. 15 read-only tools that any MCP-compatible AI client (Claude Desktop, Cursor, Continue, etc.) can use to:
andrea9293
MCP Documentation Server - Bridge the AI Knowledge Gap.
jupediaz
Personal YouTube AI knowledge base powered by RAG. Query your subscribed channels.
关于 # rag 标签下 MCP 服务器和客户端的常见问题
标记为 # rag 的 MCP 服务器实现了 Model Context Protocol,让 Claude、Cursor、VS Code 等 AI 助手可以访问 rag 相关的工具、数据或 API。
mcp.so 目前收录了 60 个标记为 # rag 的 MCP 服务器和客户端。
打开下方任意服务器页面,将安装配置复制到 Claude Desktop、Cursor、VS Code 或其他 MCP 客户端的配置中即可——远程服务器无需单独下载。