#rag MCP サーバーとは何ですか?
#rag タグの付いた MCP サーバーは Model Context Protocol を実装しており、Claude、Cursor、VS Code などの AI アシスタントが rag 関連のツール、データ、API にアクセスできるようになります。
以下の MCP サーバーとクライアントはすべて #rag タグが付いています——インストールすると、Claude、Cursor、VS Code など MCP 対応クライアントで rag 関連のツールが使えるようになります。
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.
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.
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🦀 Prevents outdated Rust code suggestions from AI assistants.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.
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
rogervinas
🍀 🤖 Spring Boot AI - Evaluation Testing
arhuman
Local-first MCP memory server for AI agents, with source citations and OKF/Markdown knowledge bases.
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.
William Laverty
Your AI agent, fluent in Australian tax.
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).
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.
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
IMAGIN-studio
hulk-pham
A demo of Retrieval-Augmented Generation (RAG) application with MCP server integration.
Lochless
Every match, not the top 10. Lochless is a hosted text index for LLM apps and agents. Send raw text through the API, then ask in plain English. It reads the documents in scope, up to a read limit you set, and returns eve
NHTIO
Documentation and assembly review for @nhtio/adk.
TheWinci
Semantic code search for AI agents — hybrid vector + BM25 with cross-encoder reranking, AST-aware chunking for 14 languages, conversation memory, code annotations, and search analytics. Zero config, zero API keys. Just bunx.
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
oleksiijko
Local-first persistent memory for AI coding agents over MCP. Gives Claude Code, Cursor and Codex shared, durable project memory across sessions. No cloud, no API keys.
Damien829
88 AI-powered tools as one MCP server. Research, write, code, translate, analyze, summarize, vision, RAG, web scraping, agent memory, marketplace, and more.
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
sifter-ai
Sifter extracts structured, typed records from your documents (PDFs, scans, contracts, invoices) using a natural-language field spec, then lets an agent query and aggregate them — exact counts, sums, filters, with citations back to the source page. Unlike RAG, it answers collecti
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
redleaves
**Context Keeper** 基于LLM驱动的智能上下文记忆管理系统,专为AI Agent提供企业级记忆能力。
jupediaz
Personal YouTube AI knowledge base powered by RAG. Query your subscribed channels.
techdocsStudio
Chat with any product's documentation from Claude, Cursor, Copilot, or any MCP client. Biel.ai turns technical docs into a queryable MCP server with accurate, sourced answers.
TheWinci
Persistent project memory for AI coding agents. Hybrid vector + BM25 search with AST-aware chunking (24 languages), dependency graph boosting, conversation memory, checkpoints, annotations, and wiki generation. Local-first, zero config. `bunx mimirs init`
zymsj8j9z9-ship-it
LLMs give wrong answers from documents because the extracted text is broken: split words, lost tables, page furniture, and scanned pages that come out empty. PackForAI turns PDF, DOCX, PPTX, XLSX, CSV and JSON into clean, AI-ready Markdown — rejoining words, rebuilding reading or
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
dzikrisyairozi
A learning repository exploring Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.
NovaNest
Remote MCP server with 40 AI agent tools for web search, scraping, research, crypto market data and on-chain analytics. Access 38 data endpoints via Streamable HTTP. Start with 3 free calls per wallet, then pay $0.005–$0
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.
roomi-fields
The open retrieval layer for AI coding agents. Indexes code, docs, legal, research, data — 15 parsers, FTS5 + semantic search, knowledge graph. Serves surgical context via MCP. Open source, local, free.
Moai-Team-LLC
Auditable, self-improving knowledge & memory for AI agents, served over MCP. Citation-enforced answers (no source, no claim), a replayable why-trace per answer, and a judge-gated loop that promotes validated knowledge. Zero-key local embeddings (bge-m3), hybrid vector + BM25 retr
thlg057
MCP server that gives AI coding agents instant access to Thomson MO5 technical documentation via semantic search.
monkdbofficial
An MCP server 🚀 for MonkDB, licensed under Apache 2.0 📜
rapls
WordPress AI Chatbot plugin supporting OpenAI, Anthropic Claude, and Google Gemini.
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.
moorcheh-ai
MEMANTO is a memory agent. It remembers, recalls, and answers - so your agents can achieve long-term goals and avoid confusion.
sonesuke
Self-hosted MCP Japanese text indexing & search—chunking+embeddings with BM25×vector rerank
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.
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.
#rag タグの MCP サーバーとクライアントに関するよくある質問
#rag タグの付いた MCP サーバーは Model Context Protocol を実装しており、Claude、Cursor、VS Code などの AI アシスタントが rag 関連のツール、データ、API にアクセスできるようになります。
mcp.so には現在、#rag タグが付いた MCP サーバーとクライアントが 60 件登録されています。
下記のサーバーを開き、インストール用のスニペットを Claude Desktop、Cursor、VS Code など MCP クライアントの設定にコピーしてください——リモートサーバーは個別のダウンロードが不要です。