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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.

10,262 servers. Last updated -

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    A server that provides data retrieval capabilities powered by Chroma embedding database, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering.
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    Apache 2.0
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    The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
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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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    Integrates with Dumpling AI to provide data scraping, content processing, knowledge management, and code execution capabilities through tools for web interactions, document handling, and AI services.
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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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    A comprehensive Model Context Protocol server that integrates Elasticsearch search with file operations, document validation, and version control to transform AI assistants into powerful knowledge management systems.
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    Enables AI assistants to search and retrieve content from WikiJS knowledge bases, allowing integration with your Wiki through simple search and retrieval tools.
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    Provides AI assistants with enhanced reasoning capabilities through structured thinking, persistent knowledge graph memory, and intelligent tool orchestration for complex problem-solving.
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    An open-source server implementing the Model Context Protocol (MCP) that enables capturing insights from AI sessions and transforming them into persistent, searchable knowledge accessible across tools.
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    A MCP server connecting to a managed index on LlamaCloud. This is a TypeScript-based MCP server that implements a connection to a managed index on LlamaCloud.
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    Cline MCP integration that allows users to save, search, and format memories with semantic understanding, providing tools to store and retrieve information using vector embeddings for meaning-based search.
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    This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.
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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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    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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    An optimized read-only server for AI assistants to efficiently query and retrieve Notion content, featuring parallel processing and a minimized toolset of 7 essential read-only operations.
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    A Model Context Protocol server that connects MCP-compatible clients like Claude and VS Code to your Readwise Reader library, allowing them to list, retrieve, and update documents in your personal knowledge repository.
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    Provides intelligent context management for AI development sessions, allowing users to track token usage, manage conversation context, and seamlessly restore context when reaching token limits.
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    Connect your MCP-compatible clients to Onyx AI knowledge bases for enhanced semantic search and chat capabilities. Retrieve relevant context from your documents seamlessly, enabling powerful interactions and comprehensive answers. Streamline knowledge management and improve access to information acr
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    A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.
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    A Model Context Protocol server that enables AI agents to interact with a local Logseq instance, allowing operations like creating pages, managing blocks, and searching across a knowledge graph.
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    Implements Anthropic's 'think' tool for Claude, providing a dedicated space for structured reasoning during complex problem-solving tasks that improves performance in reasoning chains and policy adherence.
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    A Model Context Protocol server that enables LLMs to interact with MindManager mind maps, allowing retrieval of mind map structures and export to formats like Mermaid, Markdown, and JSON.
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    An MCP server implementation that enables interaction with the Letta API for managing agents, memory blocks, and tools in the Letta system.
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    A Model Context Protocol plugin that helps AI assistants maintain persistent project context through structured markdown files, providing a systematic approach to tracking project goals, decisions, progress, and patterns.
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    A sophisticated MCP server that provides a multi-dimensional, adaptive reasoning framework for AI assistants, replacing linear reasoning with a graph-based architecture for more nuanced cognitive processes.
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    Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine, allowing Claude to tackle complex multi-step reasoning tasks with greater precision.
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    MCP server that lets you search your Claude Code conversation history to find past solutions, track file changes, and learn from previous work.
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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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    A Model Context Protocol service that allows AI assistants to search, retrieve, analyze, and export data from Heptabase backups.
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    A Model Context Protocol service that enables AI assistants to search, retrieve, analyze, and export data from Heptabase backups.
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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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