The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.

Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.

End-to-end documentation to set up your own local & fully private LLM server on Debian. Equipped with chat, web search, RAG, model management, MCP servers, image generation, and TTS.

A modular RAG (Retrieval-Augmented Generation) system with MCP Server architecture. Using Skill to make AI follow each step of the spec and complete the code 100% by AI.

MCP server for PageIndex. PageIndex is a vectorless reasoning-based RAG system which uses multi-step reasoning and tree search to retrieve information like a human expert would.

A MCP Server for the RAG Web Browser Actor

Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.

An extensible Model Context Protocol (MCP-Local-MRL-RAG-AST) server that provides intelligent semantic code search for AI assistants. Built with local AI models, inspired by Cursor's semantic search.

 MCP server providing AI agents with instant access to Apple developer documentation via RAG

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

🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows

Spring AI Playground is a self-hosted web UI for low-code AI tool development with live MCP server registration. It includes MCP server inspection, agentic chat, and integrated LLM and RAG workflows, enabling real-time experimentation and evolution of tool-enabled AI systems without redeployment.

Needle MCP Server for easy RAG.Long-term memory for LLMs.

MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps, remediations.

Ragie Model Context Protocol Server

A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data fetching, and an advanced RAG (Retrieval-Augmented Generation) system.

On-device context engine and memory for AI agents. Claude Code and OpenClaw. Hooks + MCP server + hybrid RAG search.

No description available

USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagram generation. GPU-accelerated with skills and autonomous agents.

This is a MCP server I built to interact with my hybrid graph rag db.

Build and deploy a full-stack RAG app on AWS with Terraform, using free tier Gemini Pro, real-time web search using Remote MCP server and Streamlit UI with token based authentication.

The fastest BM25 scoring engine: 2,300x faster than BM25S. 28K QPS on 8.8M docs. 5 BM25 variants (Robertson, Lucene, ATIRE, BM25L, BM25+). Memory-mapped persistence, BMW pruning, streaming indexing. Built-in HTTP server, MCP tool, HuggingFace Hub integration. Drop-in bm25s replacement for RAG & ML pipelines.

PDF RAG server for cursor.

Rimworld Coding RAG MCP server

No description available

A MCP server that is a locally running knowledge base with a hybrid vector and graph RAG engine using LightRAG

Local RAG System for Claude Code — Hybrid search + Cross-encoder Reranking + Markdown-aware Chunking + 12 MCP Tools. No external servers, pure ONNX in-process.

AI-powered Windows Event Log analyzer that learns from your feedback. Uses Claude AI with RAG to detect suspicious activity, improve accuracy over time, and share learnings across your team. CLI and MCP server interfaces.