358 published MCP servers in this category · page 3 of 6 · all categories
IT Glue MCP server for MSPs — documents, flexible assets, semantic vector search, RBAC, and BYOK
Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.
A Model Context Protocol (MCP) server for managing and querying knowledge bases through vector databases, built on top of the dynamic-mcp-server (DMS) framework.
Drop your PDFs, markdown, code, notebooks — **1800+ files, 39K chunks, indexed in under 3 minutes.**
Protected RAG storage — agents discover public metadata, content only by access token.
MCP Server for AI-powered theatrical lighting design
This project is licensed under the MIT License. See the LICENSE file for details.
MCP server for interacting with LanceDB database
PDF/Word/Excel/HTML to clean Markdown for LLMs and RAG. Keys $19/mo; 50 free calls a day.
Autonomous AI video editor over MCP: viral clips, captions, reframe, chroma key, MP4 export
Cross-platform tools for creating, managing, and querying modular RAG-ready libraries
LibraryAI includes a .NET console MCP server that searches a local vector database through a configured embedding endpoint.
Local, privacy-focused RAG service for code search via MCP. https://linggen.dev
Convert PDF URLs to clean Markdown and text for RAG and LLM input. Pay per PDF on Apify.
`llamacloud-mcp` is a tool that allows you to use LlamaCloud as an MCP server. It can be used to query LlamaCloud indexes and extract data from files.
Invoke deployed LLMGraph no-code LLM workflows (chat, RAG, automations) as MCP tools.
A Model Context Protocol (MCP) server that provides local vector database functionality using FAISS for Retrieval-Augmented Generation (RAG) applications.
Minimal, local, RAG with GPU acceleration. It actually works. Ships with more dependencies than the Vatican's import list. Runs on Windows and WSL.
A fully-local MCP server that lets Claude (or any MCP client) answer questions over your PDFs. Point it at a PDF, ask questions in plain language, and the model fetches only the relevant passages — with page-level…
Your agent starts every session blind — guessing filenames, grepping for keywords, burning context on irrelevant files, and forgetting everything you discussed yesterday.
ローカル環境のdocker composeで完結するRAGシステムのバックエンドです。各種ドキュメントを登録し、MCP serverで検索できます。
Local Markdown search, navigation and editing via MCP, with optional vector embeddings.
Cross-session memory and hybrid RAG over your notes and docs. Local-first, with cited answers.
Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
Self-hostable agentic-AI LMS: catalog, RAG tutor, FSRS reviews, AI authoring, ingest.
The MCP MariaDB Server provides a Model Context Protocol (MCP) interface for managing and querying MariaDB databases, supporting both standard SQL operations and advanced vector/embedding-based…
# mcp-server-weaviate [](https://smithery.ai/server/@weaviate/mcp-server-wea
mcp-rag-server is a Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG) capabilities. It empowers Large Language
🗂️ A Model Context Protocol (MCP) server that provides integration with Turso databases for LLMs. This server implements a two-level authentication
MCP Server for Agentic RAG applications
A [Model Context Protocol (MCP)](https://www.anthropic.com/news/model-context-protocol) server that enables semantic search and RAG (Retrieval
Graph-vector memory for AI assistants using FalkorDB and Qdrant
MCP Server for adding bookmarks in openai RAG
A ChromaDB MCP server for vector embeddings, collections, and document management.
A Model Context Protocol (MCP) server that automatically generates Cornell-style study notes and summaries from the conversational context, with RAG active recall question generation and Notion…
With this MCP server, you can scrape anything and then use that knowledge anywhere for RAG.
MCP server for Oracle, MSSQL, PostgreSQL, MySQL, SQLite, MongoDB, and Qdrant vector search access.
A lightweight Model Context Protocol (MCP) server that provides direct access to local documentation files - a simple alternative to complex RAG pipelines for project-specific context.
Text extraction, keyword extraction, language detection, and chunking for RAG
This MCP server is used to provide Godot documentation to the Godot RAG model.
The HealthcareRAGTools project is an agentic AI system designed to assist healthcare professionals by leveraging Retrieval-Augmented Generation (RAG)
Permission-aware RAG for agents — ingest docs, hybrid search, cited answers (hosted API).
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…
MCP server for vector search using LanceDB
Search private documents from an MCP client or the terminal without sending them to an embedding API.
Semantic code & doc search with keyword boost. AST code nav, auto HF mirror, local, privacy-first.
A RAG-based web search and deep research model context protocol (MCP) server that runs entirely locally. Features multi-engine research across 9+
A custom MCP (Model Context Protocol) server for media processing, built with Python. This server enables AI assistants like Claude to interact with media files, perform video processing, and…
A powerful, production-ready context management system for Large Language Models (LLMs). Built with ChromaDB and modern embedding technologies, it
This server implements long-term memory capabilities for AI assistants using mem0 principles, powered by PostgreSQL with pgvector for efficient vector similarity search.
Read and write to a Pinecone index.
This project implements a Model Context Protocol (MCP) server that allows reading and writing vectorized information to a Pinecone vector database. It's designed to work with both RAG-processed PDF…
Before using this MCP server, ensure you have:
Read-only Qdrant vector DB for AI agents — collections, info, browse points, count, search.
MCP server for enabling the named memory graphs to be persisted to a qdrant instance.
Este proyecto implementa un servidor compatible con el Protocolo de Contexto de Modelo (MCP) que dota a los clientes de IA (como Cursor, Claude for Desktop, etc.) de una capacidad de Recuperación…
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…
A local MCP server that implements RAG (Retrieval-Augmented Generation) with sentence window retrieval.
A Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG). It indexes your documents and serves relevant context to Large Language Models via the MCP protocol.
MCP RAG Serverは、Model Context Protocol (MCP)に準拠したRAG（Retrieval-Augmented Generation）機能を持つPythonサーバーです。マークダウン、テキスト、パワーポイント、PDFなど複数の形式のドキュメントをデータソースとして、