#rag

Core Philosophy: Connect, Unify, Respond

mindsdb

Delegate anything. It comes back done.

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.

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.

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🦀 Prevents outdated Rust code suggestions from AI assistants.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.

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

Spring Boot AI

rogervinas

🍀 🤖 Spring Boot AI - Evaluation Testing

Mnemos

arhuman

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

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.

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.

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.

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.

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

Microsoft Learn MCP Server

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

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:

Cuba Memroys

lENADRO1910

Persistent memory MCP for AI agents — Knowledge graph + Hebbian learning + Anti-hallucination. 12 tools, 1 dependency, zero manual setup.

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.

MonkDB MCP Server

monkdbofficial

An MCP server 🚀 for MonkDB, licensed under Apache 2.0 📜

HEYM

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.

Retrieve The Forgotten Memory

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.

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

nexus-mcp — jpi-guard & PII Guard

nexus-api-lab

Japanese LLM security APIs — prompt injection detection (jpi-guard) + PII masking (PII Guard). Free to start, no credit card required.

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

Give your AI agents a memory they can trust. Engram lets your AI remember past conversations, facts, and decisions, so it feels more like a real teammate.

Apple RAG MCP

BingoWon

Transform your AI agents into Apple development experts! Apple RAG MCP gives you instant access to official Swift docs, design guidelines, and comprehensive Apple platform knowledge through cutting-edge RAG technology. With professional AI reranking and hybrid search across iOS,

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

One MCP to Rule Them All. NCP consolidates over 50 scattered MCP tools into two unified tools (Find & Run). Your AI goes from confused to confident with 87% fewer tokens, zero tool confusion, and 5x faster responses. Perfect for teams drowning in MCP tool sprawl.

🧠 Advanced MCP Server Setup with

sidhyaashu

Advanced MCP Server Setup with uv, llama-index, ollama, and Cursor IDE

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.

Oboyu (覚ゆ)

sonesuke

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

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

Quelvio

Quelvio

Your company's brain for AI agents. MCP server for Quelvio enterprise knowledge platform.

LocalMind

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.

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.

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

Documentation and assembly review for @nhtio/adk.

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

Calypso Multimodal RAG

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.

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

Memo

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

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