What is a #rag MCP server?
An MCP server tagged #rag implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access rag-related tools, data, or APIs.
Every MCP server and client below is tagged #rag — install one to give Claude, Cursor, VS Code, or any other MCP-compatible client access to rag tools.
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🦀 Prevents outdated Rust code suggestions from AI assistants.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
arhuman
Local-first MCP memory server for AI agents, with source citations and OKF/Markdown knowledge bases.
rogervinas
🍀 🤖 Spring Boot AI - Evaluation Testing
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.
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
hulk-pham
A demo of Retrieval-Augmented Generation (RAG) application with MCP server integration.
IMAGIN-studio
shigeki7777
Free AI research/OCR + agent-economy discovery tools (120+ tools, no-auth), includes engage_sasame to commission SaSame to build MCP/Claude/RAG/agents, full deliverables pay-per-call via x402
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.
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
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.
flexorch
FlexOrch MCP converts unstructured documents (PDF, DOCX, invoices, contracts, payroll) into structured, LLM-ready datasets via 6 async tools. Covers the full pipeline: classify → extract fields → mask PII → export JSONL or RAG chunks, with PII detection across 10+ locales (TR, DE
nexus-api-lab
Japanese LLM security APIs — prompt injection detection (jpi-guard) + PII masking (PII Guard). Free to start, no credit card required.
hadv
A Model Context Protocol (MCP) server implementation for RAG
dzikrisyairozi
A learning repository exploring Retrieval-Augmented Generation (RAG) and Multi-Cloud Processing (MCP) server integration using free and open-source models.
thlg057
MCP server that gives AI coding agents instant access to Thomson MO5 technical documentation via semantic search.
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.
swisstruthorg
Verified knowledge base for AI agents via MCP — certified facts with source references, confidence scores, and SHA256 integrity hashes
SelfMemory
It is a open-source universal memory engine where users can store and retrieve their AI conversations and context across different models. Users can add memories through MCP, SDK, or a website selfmemory.com Over time, this will evolve into a one-stop memory hub with note-taking
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。
yubinkim444
Ad-free web scraping and search exposed as 3 MCP tools
moorcheh-ai
MEMANTO is a memory agent. It remembers, recalls, and answers - so your agents can achieve long-term goals and avoid confusion.
calypso-so
Launch a hosted Gemini File Search true multimodal RAG layer that answers from your PDFs, docs, screenshots, charts, diagrams, help center, FAQs, and images with citations people can verify.
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.
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
MyrikLD
Memlord is a remote MCP server available at https://app.memlord.com.
andrea9293
MCP Documentation Server - Bridge the AI Knowledge Gap.
rapls
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
ndjordjevic
PinRAG is a retrieval-augmented generation (RAG) MCP server built with LangChain and Chroma. Index PDFs, plain text, Discord exports, YouTube transcripts, and GitHub repositories, then ask questions in Cursor, VS Code (Copilot), or any MCP-capable client. Answers include citation
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.
microsoftdocs
The Microsoft Learn MCP Server is a cloud-hosted service that enables MCP hosts like GitHub Copilot and Cursor to search and retrieve accurate information directly from Microsoft's official documentation. By implementing the standardized Model Context Protocol (MCP), this service
KunjShah95
A custom MCP server with RAG capabilities and multiple search providers (Gemini 2.0 and Linkup)
mgWellPay
Give your AI agent a phone number with one API call. ThruAI provides voice, telephony, knowledge base (RAG), self-learning, and 14 integrations. 50+ MCP tools for agents to make and receive phone calls, manage conversations, and access analytics.
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
serkan-ozal
MCP Server for Driflyte (https://console.driflyte.com).
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
Common questions about MCP servers and clients tagged #rag
An MCP server tagged #rag implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access rag-related tools, data, or APIs.
mcp.so currently lists 60 MCP servers and clients tagged #rag.
Open any server below and copy its install snippet into Claude Desktop, Cursor, VS Code, or another MCP client's configuration — remote servers need no separate download.