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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

7,885 servers. Last updated -

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Matching MCP servers:

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    A server that provides access to Baidu Cloud Vector Database functionality through the Model Context Protocol, enabling LLM applications to perform vector searches and database operations via natural language.
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    Apache 2.0
    • Apple
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    A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
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    MIT License
    • Apple
    • Linux
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    A multi-tenant service that automatically monitors Supabase database changes, generates OpenAI embeddings, and maintains synchronized vector search capabilities for each tenant's projects.
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    TypeScript
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    An advanced MCP server for Cline that leverages EverArt's AI models to generate vector and raster images, supporting flexible storage, multiple formats, and robust image generation capabilities.
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    JavaScript
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    A high-performance MCP server utilizing libSQL for persistent memory and vector search capabilities, enabling efficient entity management and semantic knowledge storage.
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    MIT License
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    A high-performance, persistent memory system for the Model Context Protocol (MCP) providing vector search capabilities and efficient knowledge storage using libSQL as the backing store.
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    TypeScript
    MIT License
    • Linux

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  • -
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    A very simple vector store that provides capability to watch a list of directories, and automatically index all the markdown, html and text files in the directory to a vector store to enhance context.
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    TypeScript
    MIT License
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    A server that enables vector and keyword search capabilities in Typesense databases through the Model Context Protocol, providing tools for collection management, document operations, and search functionality.
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    MIT License
    • Apple
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    A Model Context Protocol (MCP) server for advanced code analysis and editing with semantic search capabilities, enabling AI assistants to perform complex code operations through a standardized interface.
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    An MCP server that integrates with Recraft AI to enable generation and manipulation of high-quality raster and vector images through tools like image generation, editing, vectorization, background removal, and upscaling.
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    MIT License
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    🗂️ A Model Context Protocol (MCP) server that provides integration with Turso databases for LLMs. This server implements a two-level authentication system to handle both organization-level and database-level operations, making it easy to manage and query Turso databases directly from LLMs.
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    MIT License
    • Linux
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    Pinecone integration with vector search capabilities
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    139
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    MIT License
    • Apple
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    Provides semantic memory capabilities using Qdrant vector database with configurable embedding providers, allowing storage and retrieval of information using vector similarity.
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    Apache 2.0
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    A Model Context Protocol server that enables LLMs to autonomously perform symbolic mathematics and computer algebra through SymPy's functionality for manipulating mathematical expressions and equations.
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    Apache 2.0
    • Apple
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    An integration server implementing the Model Context Protocol that enables LLM applications to interact with Milvus vector database functionality, allowing vector search, collection management, and data operations through natural language.
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    Apache 2.0
    • Apple
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    A vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.
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    MIT License
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    A comprehensive memory system for Cursor using the Model Context Protocol (MCP) that provides persistent context awareness across sessions by storing conversation history, project milestones, code snippets, and enabling semantic search.
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    MIT License
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    A Model Context Protocol server that enables semantic search capabilities by providing tools to manage Qdrant vector database collections, process and embed documents using various embedding services, and perform semantic searches across vector embeddings.
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    TypeScript
    MIT License
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    A Node.js implementation for vector search using LanceDB and Ollama's embedding model.
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    JavaScript
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    A Model Context Protocol server providing security vulnerability intelligence tools including CVE lookup, EPSS scoring, CVSS calculation, exploit detection, and Python package vulnerability checking.
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    MIT License
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    Scalable, high-performance knowledge graph memory system with semantic search, temporal awareness, and advanced relation management.
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    Enables efficient vector database operations for embedding storage and similarity search through a Model Context Protocol interface.
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    Enables AI assistants to interact with Meilisearch via the Model Context Protocol, allowing comprehensive index, document, and search management through a standardized interface.
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    • Apple
    • Linux
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    This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
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    Apache 2.0
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    Model Context Protocol (MCP) server implementation for semantic search and memory management using TxtAI. This server provides a robust API for storing, retrieving, and managing text-based memories with semantic search capabilities. You can use Claude and Cline AI Also
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    • Apple
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    Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
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    6,585
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    Apache 2.0
    • Apple
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    Integrates Claude Desktop with Azure AI Search, allowing users to query search indexes using keyword, vector, or hybrid search methods.
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    A MCP Server that gives AI assistants the ability to remember information about users across conversations using vector search technology.
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    Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
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    MIT License
    • Apple
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    An MCP server that gives AI assistants the ability to remember user information (preferences, behaviors) across conversations using vector search technology.
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    A Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.
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    • Linux
    • Apple
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    Processes emails from Outlook with date filtering, storing them in SQLite databases while generating vector embeddings for semantic search capabilities in MongoDB.
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    • Apple
    • Linux