60 #rag MCP Servers & Clients

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。

VectorCode

Davidyz

A code repository indexing tool to supercharge your LLM experience.

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.

MCP Apple Notes

RafalWilinski

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

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🦀 Prevents outdated Rust code suggestions from AI assistants.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.

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.

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.

Yourmemory

sachitrafa

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

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.

mcp-local-rag

nkapila6

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

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.

🧠 Archive Agent

shredEngineer

Find your files with natural language and ask questions.

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

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

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.

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

Mnemos

arhuman

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

Spring Boot AI

rogervinas

🍀 🤖 Spring Boot AI - Evaluation Testing

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.

ATO MCP

William Laverty

Your AI agent, fluent in Australian tax.

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).

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.

Cursor Chat History Vectorizer & Dockerized Search MCP

markelaugust74

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

Spoken

roberttomko

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

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.

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.

RAG Application

hulk-pham

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

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

Gres API

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.

88 AI-powered tools as one MCP server. Research, write, code, translate, analyze, summarize, vision, RAG, web scraping, agent memory, marketplace, and more.

FlexOrch MCP

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

Financegenius.ai

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:

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.

Memlord

MyrikLD

Memlord is a remote MCP server available at https://app.memlord.com.

Kelnix Datamind Curator

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

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`

Zilliz Mcp Server

zilliztech

A Model Context Protocol (MCP) server seamlessly connecting AI Agents and AI coding tools with Zilliz Cloud https://zilliz.com/

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.

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

Ad-free web scraping and search exposed as 3 MCP tools

CodeWeave Mcp

semihkayan

Save tokens while coding — your AI agent gets structured code context, not file dumps.

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.

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.

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

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

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.

SelfMemory

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

**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。

Qdrant MCP Server

hadv

A Model Context Protocol (MCP) server implementation for RAG

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.

Documentación del TFG: Interconexión entre Espacios de Datos e Inteligencia Artificial Generativa

jaimealruiz

Diseño e Implementación de interconexión entre LLM y Espacios de Datos mediante Model Context Protocol (MCP)

AI Chat Application with RAG and MCP Servers

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

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

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

Memanto MCP

moorcheh-ai

MEMANTO is a memory agent. It remembers, recalls, and answers - so your agents can achieve long-term goals and avoid confusion.

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

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.

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.