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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.

9,443 servers. Last updated -

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Matching MCP servers:

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    A workshop repository teaching advanced Model Context Protocol features for building AI-connected apps with deeper integration capabilities.
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    Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.
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    Facilitates integration with the Cursor code editor by enabling real-time code indexing, analysis, and bi-directional communication with Claude, supporting concurrent sessions and automatic reconnection.
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    A MCP server to allow the LLM in Cursor to access Rust Analyzer, Crate Docs and Cargo Commands.
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    A Model Context Protocol (MCP) server for Cursor IDE that simplifies the installation and configuration of other MCP servers.
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    Acts as a bridge between Claude's desktop application and the Cursor editor, enabling seamless AI-powered automation and multi-instance management across platforms with standardized communication and secure token-based authentication.
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    Enables cost-effective repository analysis, code search, file editing, and task planning by wrapping the cursor-agent CLI through focused tools. Reduces token usage by offloading heavy thinking tasks from Claude to specialized operations with configurable output formats.
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    A Python-based Model Context Protocol server that enables managing Proxmox virtualization platform through Cursor IDE, supporting complete VM lifecycle management including creation, power control, and deletion.
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    Enables Claude's explicit thinking mode in Cursor, allowing users to see Claude's step-by-step reasoning process when prefacing queries with 'think'.
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    Um servidor MCP completo para integração com Sentry no Cursor, oferecendo 27 ferramentas para monitoramento de erros, performance e saúde de aplicações.
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    Provides accessibility testing capabilities through CLI, helping identify accessibility issues in web applications using axe-core and Puppeteer.
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    A Model Context Protocol server that enables AI assistants to explore and interact with Cursor IDE's SQLite databases, providing access to project data, chat history, and composer information.
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    Enables querying, searching, and analyzing Cursor IDE conversation history from SQLite workspaceStorage databases. Supports exporting chat data in multiple formats and provides workspace utilities for managing conversation data across projects.
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    Provides comprehensive word definitions, pronunciations, meanings, and examples for any English word using the Free Dictionary API. Includes a random word-of-the-day feature with difficulty levels for vocabulary building.
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    Allows AI assistants to access and analyze your Cursor conversation history, enabling personalized coding assistance based on your actual development patterns.
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    An MCP server that provides AI assistants with team analytics capabilities for Cursor editor, allowing them to retrieve team member information, usage metrics, and spending data through natural language queries.
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    Automatically organizes files in your Downloads folder by categorizing them into appropriate directories based on file types.
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    A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
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    Enables users to control the cursor in Figma through verbal commands using an agentic AI agent, streamlining the design process with a new interaction method.
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    Enables Cursor AI to communicate with Figma for reading designs and modifying them programmatically, allowing users to automate design tasks through natural language.
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
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    A basic example of developing and running serverless Model Context Protocol (MCP) using Netlify Functions, demonstrating how to deploy and access serverless functions with customized URLs.
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    Provides audio feedback by playing sound effects when Cursor AI completes code generation, creating a more interactive coding experience.
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    A template for building and deploying custom remote MCP servers on Azure Functions with Python, allowing for saving and retrieving snippets with built-in security using keys and HTTPS.
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    This project enables running a custom remote MCP server on Azure Functions with Python, allowing developers to build cloud-based Model Context Protocol tools that are secured by design using keys and HTTPS.
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    Enables code review through Cursor CLI integration with GPT-5. Provides a cursor.review tool that executes code reviews and returns structured JSON results with automatic audit logging.
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    A standalone Model Context Protocol server that enables AI models to access the Australian Pharmaceutical Benefits Scheme (PBS) API data, including medicine listings, pricing, and availability information.
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    Plays sound effects when Cursor AI completes code generation, providing audio feedback for a more interactive coding experience.
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    A proof-of-concept attack that exploits Model Context Protocol (MCP) tool registration to achieve persistent agent poisoning in AI assistants like Cursor, embedding malicious instructions that persist across chat contexts without requiring tool execution.
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