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60 个#rag MCP 服务器和客户端

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。

全部

MaxKB

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。

创建于 2年前

VectorCode

Davidyz

A code repository indexing tool to supercharge your LLM experience.

创建于 2年前

Solon Ai

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.

创建于 2年前

MCP Apple Notes

RafalWilinski

Talk with your notes in Claude. RAG over your Apple Notes using Model Context Protocol.

创建于 2年前

Rust Docs MCP Server

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🦀 Prevents outdated Rust code suggestions from AI assistants.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.

创建于 2年前

Fastcrw

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.

创建于 7个月前

RAG Documentation MCP Server

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.

创建于 2年前

Yourmemory

sachitrafa

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

创建于 7个月前

eShopLite

Azure-Samples

eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.

创建于 2年前

mcp-local-rag

nkapila6

"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨

创建于 2年前

Fast LLM & Agents & MCPs

omerbsezer

This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, Google Agent Development Kit, Fundamentals.

创建于 去年

🧠 Archive Agent

shredEngineer

Find your files with natural language and ask questions.

创建于 去年

DevContext: Autonomous Context Awareness Model-Context-Protocol (MCP) Server

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

创建于 去年

QDrant Loader

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

创建于 去年

Storm MCP Server with Sionic AI serverless RAG

sionic-ai

创建于 2年前

mcp-rag-server

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.

创建于 2年前

Consciousness Bridge v2.0 🧠💫

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

创建于 去年

Mnemos

arhuman

Local-first MCP memory server for AI agents, with source citations and OKF/Markdown knowledge bases.

创建于 4个月前

Spring Boot AI

rogervinas

🍀 🤖 Spring Boot AI - Evaluation Testing

创建于 2年前

M1K3

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.

创建于 11天前

Wandering RAG

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.

创建于 2年前

ATO MCP

William Laverty

Your AI agent, fluent in Australian tax.

创建于 4个月前

Ragalgo

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).

创建于 10个月前

WisdomForge

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.

创建于 2年前

Cursor Chat History Vectorizer & Dockerized Search MCP

markelaugust74

API service to search vectorized Cursor IDE chat history using LanceDB and Ollama

创建于 去年

Spoken

roberttomko

Podcast transcript API — turn any published podcast into clean Markdown with real speaker names. Built for AI agents.

创建于 5个月前

The Pensieve MCP Server

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.

创建于 2年前

Tiny Chat

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.

创建于 2年前

Gemina

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.

创建于 2个月前

Integrating Model Context Protocol (MCP) Tools with Semantic Kernel: A Step-by-Step Guide

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

创建于 2年前

Imagin.studio Api Docs

IMAGIN-studio

创建于 7个月前

RAG Application

hulk-pham

A demo of Retrieval-Augmented Generation (RAG) application with MCP server integration.

创建于 2年前

MCP Server with RAG and Multi-Search

KunjShah95

A custom MCP server with RAG capabilities and multiple search providers (Gemini 2.0 and Linkup)

创建于 2年前
H

Hypabase

hypabase

Hypergraph database for AI agents. Store n-ary relationships (edges connecting 2+ nodes), track provenance (source and confidence), and query paths — all backed by local

创建于 9个月前
R

Remembra

remembra-ai

Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. Self-hosted. 100% on LoCoMo benchmark. Works with Claude Code, Cursor, VS Code, Windsurf, JetBrains, and more.

创建于 8个月前
AA

Adk Assembly Mcp

NHTIO

Documentation and assembly review for @nhtio/adk.

创建于 5个月前

Memory Plus

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

创建于 去年

Careerproof

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

创建于 8个月前
Y

Yggdrasil

vondervuflya

Durable, local-first memory for AI coding agents over MCP — zero-dependency, curated & semantically de-duped, you own the data (SQLite + Markdown). Works with Claude Code, Codex & any MCP host.

创建于 4个月前

RagWiser

RobertoDure

RagWiser is a Retrieval Augmented Generation (RAG) system built with Spring Boot that enables users to upload PDF documents, process them, and ask questions about their content using natural language.

创建于 去年
S

Semcode

GoodbyePlanet

An MCP (Model Context Protocol) server providing hybrid semantic search over code across a set of GitHub repositories that you list in config.yaml. It parses symbols with Tree-sitter and indexes both code and git commit history, so AI clients can query them by natural language or

创建于 6个月前

PMB (Personal Memory Brain) | Local first memory layer

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.

创建于 4个月前
C

ContextBridge

tijuthomas5

Local-first code retrieval for AI agents — cuts codebase context from tens of thousands of tokens to a few hundred, with zero hallucinated file paths.

创建于 4个月前

TubExperto

jupediaz

Personal YouTube AI knowledge base powered by RAG. Query your subscribed channels.

创建于 7个月前

Attestor

bolnet

Audit-grade memory backbone for agent teams. Bi-temporal facts (event time + transaction time, with recall(as_of=...) replay), 6-step deterministic retrieval (no LLM in the critical path), conversation ingest with speaker-locked dual-pass extraction, per-tenant Postgres row-level

创建于 6个月前
VS

Vector Search x402

Br0ski777

x402 micropayment API for AI agents. In-memory vector store with cosine similarity search. For RAG pipelines. Pay per call with USDC on Base.

创建于 7个月前
MM

Meta Mcp Proxy

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

创建于 去年

Scaffold

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

创建于 去年

RAG-MCP Pipeline Research

dzikrisyairozi

A learning repository exploring Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.

创建于 2年前

Forge

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.

创建于 5个月前
MD

Mcp Documentation Server

andrea9293

MCP Documentation Server - Bridge the AI Knowledge Gap.

创建于 8个月前

Munin Ai Memory

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:

创建于 7个月前

Biel.ai

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.

创建于 4个月前
M

Mimirs

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`

创建于 7个月前
D

Driflyte

serkan-ozal

MCP Server for Driflyte (https://console.driflyte.com).

创建于 去年

Sifter - Turn a folder of documents into typed records you can query

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

创建于 5个月前
A

AgenticMind

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

创建于 5个月前

Hindsight Mempalace

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.

创建于 4个月前

Verified Knowledge Base for AI Agents — No More Hallucinations

swisstruthorg

Verified knowledge base for AI agents via MCP — certified facts with source references, confidence scores, and SHA256 integrity hashes

创建于 7个月前

Oboyu (覚ゆ)

sonesuke

Self-hosted MCP Japanese text indexing & search—chunking+embeddings with BM25×vector rerank

创建于 去年

常见问题

关于 #rag 标签下 MCP 服务器和客户端的常见问题

1

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。

2

标记为 #rag 的 MCP 服务器和客户端有多少个?

mcp.so 目前收录了 60 个标记为 #rag 的 MCP 服务器和客户端。

3

如何安装 #rag MCP 服务器?

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。