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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.

6,032 servers. Last updated -

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    Memory Bank Server provides a set of tools and resources for AI assistants to interact with Memory Banks. Memory Banks are structured repositories of information that help maintain context and track progress across multiple sessions.
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    TypeScript
    MIT License
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    Provides a centralized MCP-based system for managing and accessing multi-project memory banks remotely, with features like project isolation, file structure validation, and type-safe operations.
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    Enables AI assistants to maintain persistent project context across sessions by storing and retrieving structured information in markdown files organized in a memory bank directory.
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    Apache 2.0
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    Provides semantic memory and persistent storage for Claude, leveraging ChromaDB and sentence transformers for enhanced search and retrieval capabilities.
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    MIT License
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    A flexible memory system for AI applications that supports multiple LLM providers and can be used either as an MCP server or as a direct library integration, enabling autonomous memory management without explicit commands.
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    MIT License
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    A customized MCP memory server that enables creation and management of a knowledge graph with features like custom memory paths and timestamping for capturing interactions via language models.
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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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    Basic Memory is a knowledge management system that allows you to build a persistent semantic graph from conversations with AI assistants. All knowledge is stored in standard Markdown files on your computer, giving you full control and ownership of your data. Integrates directly with Obsidan.md
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    AGPL 3.0
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    Enhances Claude AI with persistent memory storage for Infrastructure-as-Code components, supporting version tracking and relationship mapping for Terraform and Ansible resources.
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    The Cursor10x Memory System creates a persistent memory layer for AI assistants (specifically Claude), enabling them to retain and recall short-term, long-term and episodic memory on autonomously.
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    A custom Memory MCP Server that acts as a cache for Infrastructure-as-Code information, allowing users to store, summarize, and manage notes with a custom URI scheme and simple resource handling.
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    Enables neural memory sequence learning with a memory-augmented model for improved code understanding and generation, featuring state management, novelty detection, and model persistence.
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    Scalable, high-performance knowledge graph memory system with semantic search, temporal awareness, and advanced relation management.
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    A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.
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    Persistent development memory server that automatically captures and organizes development context, code changes, and user interactions across projects.
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    Provides knowledge graph functionality for managing entities, relations, and observations in memory with strict validation rules to maintain data consistency.
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    Implements long-term memory capabilities for AI assistants using PostgreSQL with pgvector for efficient vector similarity search, enabling semantic retrieval of stored information.
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    A Model Context Protocol server for Claude Desktop that provides structured memory management across chat sessions, allowing Claude to maintain context and build a knowledge base within project directories.
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    A long-term memory storage system for LLMs that helps them remember context across multiple sessions using semantic search with embeddings to provide relevant historical information from past interactions and development decisions.
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    Provides two Model Context Protocol servers that enable controlling IoT devices and managing persistent memory storage with semantic search capabilities.
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    Enhances user interaction through a persistent memory system that remembers information across chats and learns from past errors by utilizing a local knowledge graph and lesson management.
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    Provides memory/knowledge graph storage capabilities using Supabase, enabling multiple Claude instances to safely share and maintain a knowledge graph with features like entity storage, concurrent access safety, and full text search.
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    An MCP server that helps teams create, manage, and access structured project documentation through six core document types, leveraging AI to generate comprehensive project knowledge management.
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    A Model Context Protocol server that allows users to store, retrieve, update, and delete memories using SQLite storage.
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    MIT License
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    A Model Context Protocol server that enables Claude to persistently store, search, and manage text memories with tags in a local JSON file.
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    An MCP server that gives AI assistants like Cursor, Claude and Windsurf the ability to remember user information across conversations using vector search technology.
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    Facilitates knowledge graph representation with semantic search using Qdrant, supporting OpenAI embeddings for semantic similarity and robust HTTPS integration with file-based graph persistence.
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    MCP server that gives MCP clients (like Cursor, Claude, Windsurf) the ability to remember user information across conversations using vector search technology.
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    Official implementation of Anthropic's 'think' tool that provides Claude with a dedicated space for structured reasoning, improving performance by up to 54% on complex tasks requiring multi-step problem solving.
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    This advanced memory server facilitates neural memory-based sequence learning and prediction, enhancing code generation and understanding through state maintenance and manifold optimization as inspired by Google Research's framework.
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    A Model Context Protocol server that enables AI assistants to interact with the Omi API for retrieving and creating conversations and memories for users.
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    A bridge that exposes structured, verifiable context and query capabilities of a local Temporal Knowledge Graph to MCP-compatible AI agents, enabling them to access explicit project history and relationships rather than just semantic content.
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    MIT License
    • Apple
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