358 published MCP servers in this category · page 4 of 6 · all categories
SOTA family roadmap: docs/roadmap/sota-family-roadmap.md.
WebページをクロールしてElasticsearchに保存し、Claude Desktop や Cline から検索できるようにするMCPサーバーです。 Dockerだけで完結するため、ローカル環境を汚さずにすぐにRAG（検索拡張生成）を試すことができます。 チャットUIも同梱されており、ブラウザからも検索・チャットが可能です。
[!CAUTION] This project is archived and no longer supported. See the docs for the latest on connecting your agent to LlamaParse Platform APIs.
The MariaDB Vector MCP server provides tools that LLM agents can use to interact with a MariaDB database with vector support, providing users with a natural language interface to store and interact…
A blazing-fast Model Context Protocol (MCP) Server built with FastMCP that seamlessly combines Neo4j's graph database capabilities with advanced vector search using embeddings. This server enables…
MCP server for integrating Tavily search API with LLMs, providing web search, RAG context generation, and QnA capabilities
MCP server for integrating Turso with LLMs
MCP client for FlowMasters Weaviate vector database
This demonstration project shows how to implement a Model Context Protocol (MCP) server with Retrieval-Augmented Generation (RAG) capabilities. The demo allows AI models to interact with a knowledge…
Read markdown with inlined images and index headings for agentic RAG workflows.
Medical RAG: semantic search for clinical guidelines, drug interactions, diagnoses & EHR data.
Medical RAG: semantic search for clinical guidelines, drug interactions, diagnoses & EHR data.
Self-hosted [mem0](https://github.com/mem0ai/mem0) MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j +
Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation
Memento MCP: Knowledge graph memory system for LLMs
Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.
A 100% local & private semantic memory MCP (Model Context Protocol) server for AI assistants. Built with ChromaDB for vector similarity search and FastMCP 2. Runs entirely locally - no data ever…
MemoryOracle - 10 agent memory tools: vector store, recall, summarization, redaction.
Adaptive memory for AI agents — FAISS search, chat extraction, cross-project linking
A lightweight, local Retrieval-Augmented Generation (RAG) memory store for MCP agents. Memory-Plus lets your agent record, retrieve, update, and
Local-first AI memory layer with hybrid search. Postgres + pgvector. Self-hosted, MIT.
Markdown-first long-term memory for AI agents. Hybrid BM25 + vector search, runs locally.
Embedded memory for AI agents with SQLite FTS5, pgvector, and Neo4j graph search.
Search, Query and interact with data in your Milvus Vector Database.
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat…
MCP server for Milvus: collections, stats, search. Works with any instance.
Empowering developers and AI agents with seamless document parsing capabilities — PDF · Word · PPT · Images · Web pages → Markdown / JSON · VLM+OCR dual engine · 109 languages · MCP Server ·…
Local-first RAG MCP server: hybrid search over a folder of your own documents
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
This MCP server (Model Context Protocol) acts as a bridge between modern AI agents (Claude Desktop, Augment, Cursor) and the Thomson MO5 ecosystem. It allows access to an expert knowledge base and…
A personal RAG database you build from chat, so AI creates work that sounds like you.
Self-hosted memory and knowledge-graph MCP server for AI agents. TypeScript on Postgres 16 + pgvector, 11 brain_* tools. Runs keyless: full-text and
Long-term memory for AI coding tools via vector search (Qdrant).
A fact your application remembers is not a document. It gets corrected — people move, change jobs, switch phone numbers. A vector store keeps both statements and returns whichever one is worded…
Production-ready RAG out of the box to search and retrieve data from your own documents.
Offline codebase knowledge graph: 91% token reduction vs naive RAG, plus cross-session agent memory.
MCP server for NetIntel — DNS, SSL, WHOIS, email security, OSINT via x402 micropayments
AI agent orchestration framework for TypeScript/Node.js - 32 adapters (LangChain, AutoGen, CrewAI, OpenAI Assistants, OpenAI Responses, LlamaIndex
NeuralBrain MCP Server - RAG, Vector Memory, LLM Routing, Agent Identity, x402 Payments
Cognitive memory for AI agents. Atkinson-Shiffrin, RAG, knowledge graph. 100+ tools.
LLM security APIs for Japanese applications, available as an MCP server.
Trace, evaluate, and optimize your LLM, RAG, and agent apps with Noveum observability.
NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.
Add OpenTelemetry tracing to Python AI agents. Supports LangGraph, LlamaIndex, CrewAI, OpenAI SDK.
A MCP Server backend for Obsidian
A self-hosted Model Context Protocol server that gives every agent you connect a durable, shared place to remember things. The storage isn't a vector database you can't see into: it's a folder of…
OMEM sits where a memory layer sits and does a different job. Instead of dumping text into a vector store and hoping for the best, it tracks what each agent believes over time, keeps the evidence…
Read-only local-first MCP server for private Markdown, PDF, and Tika-backed search on Windows.
Read-only local-first MCP server for private Markdown, PDF, and Tika-backed search on Windows.
Omni-Context exposes a local knowledge and decision store to assistants through a stdio bridge or authenticated loopback HTTP endpoint.
Omnispindle is the coordination spine of the Madness Interactive ecosystem — a Python FastMCP server with 38 tools that lets AI agents manage tasks
The OopsBot MCP Server is a Model Context Protocol (MCP) implementation that provides AI agents with comprehensive test case generation and management capabilities. Transform your product…
Qdrant MCP server with OpenAI Compatible API embedding support
> **real long-term memory for ai agents. not rag. not a vector db. self-hosted.**
Managed Apache Solr for agents: hybrid BM25+kNN search, server-side embeddings, RAG answers
MCP server for Claude Code and Claude Desktop to interact with Open WebUI — manage chats, RAG knowledge bases, functions, and more.
A cross-platform MCP server that processes Microsoft Outlook emails, generates vector embeddings using Ollama, and provides semantic search
Rust-powered PDF toolkit over MCP: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split/merge/rotate/reorder
Reasoning-based RAG system for chatting with long PDFs. Supports local and online files.
Semantic code search for AI coding assistants. Local Qdrant, multi-repo, no API keys.