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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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    An MCP server that provides tools for interacting with Vercel API, enabling management of deployments, DNS records, domains, projects, and environment variables through natural language.
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    An MCP server that provides various tools for interacting with the Vercel API, enabling management of deployments, DNS records, domains, projects, and environment variables through natural language commands.
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    A simple Nuxt application that serves as a Model Context Protocol server deployable on Vercel, allowing developers to implement AI tools, prompts, and resources through the MCP TypeScript SDK.
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    Enables real-time communication between applications and AI models using the Model Context Protocol, supporting features like custom tools and multiple transport options for Next.js applications.
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    A powerful Model Context Protocol (MCP) server enabling seamless Vercel project management, including deployments, domains, environment variables, and team configurations through Cursor's Composer or Codeium's Cascade.
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    A serverless MCP server deployed on Vercel that provides basic utility tools including echo, time retrieval, arithmetic operations, and mock weather information. Includes an interactive client application for testing and demonstration purposes.
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    MIT License
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    An MCP server that enables interaction with the Vercel API to manage deployments, DNS records, domains, projects, and environment variables through natural language commands.
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    MIT License
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    A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.
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    Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.
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    MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
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    A plugin that allows Dify to connect to multiple MCP (Model Control Protocol) servers using HTTP with Server-Sent Events transport, supporting custom configurations for URLs, headers, and timeouts.
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    An MCP-based messaging system that allows AI systems to interact with various messaging platforms through standardized tools for sending text, images, documents, buttons, and alerts.
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    An MCP (Model Context Protocol) server implementation using HTTP SSE (Server-Sent Events) connections with built-in utility tools including echo, time, calculator, and weather query functionality.
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    Model Context Protocol server for interacting with the HaloPSA API, enabling AI assistants like Claude to manage tickets, users, and assets in HaloPSA through natural language.
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    A comprehensive toolkit for Ethereum blockchain analysis within Claude AI, enabling contract auditing, wallet analysis, profitability tracking, and on-chain data retrieval.
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    An MCP server that provides tools for interacting with Chrome through its DevTools Protocol, enabling remote control of Chrome tabs to execute JavaScript, capture screenshots, monitor network traffic, and more.
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    A Python-based MCP server that provides coordinate conversion between latitude/longitude and UTM/TWD97, along with various civil engineering calculation tools for LLM and AI application integration.
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    A Model Context Protocol (MCP) server that provides TypeScript development tools for automated refactoring and code analysis.
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    A collection of tools that enhance MCP-based workflows with caching, retry logic, batch operations, and rate limiting capabilities.
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    Enables interaction with the Flutter SDK by providing tools to analyze and apply fixes to Dart and Flutter files.
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    A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.
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    An adaptation of the MCP Sequential Thinking Server designed to guide tool usage in problem-solving. This server helps break down complex problems into manageable steps and provides recommendations for which MCP tools would be most effective at each stage.
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    lark-tools-mcp connects Lark and cursor. It provides cursor with the ability to read documents, send messages, process tasks, and perform data analysis.
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    MIT License
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    Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.
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    A dynamic MCP server that automatically discovers Python files in a directory and exposes them as tools to any MCP-compatible AI client, allowing users to easily create and deploy custom AI tools.
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    A comprehensive MCP server providing tools for AI agents to interact with code, including reading symbols, importing modules, replacing text, and sending OS notifications.
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    Image Tools MCP is a Model Context Protocol (MCP) service that retrieves image dimensions and compresses images from URLs and local files using the TinyPNG API. It supports converting images to formats like webp, jpeg/jpg, and png, providing detailed information on width, height, type, and compressi
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    A Model Context Protocol server that enables AI assistants to interact with Microsoft Outlook for calendar management, email operations, and search functionality.
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    Enables high-precision detection, anonymization, encryption and decryption of personally identifiable information (PII) in text using GPT-4o-based detection and advanced cryptographic methods. Supports both deterministic encryption for searchable data and format-preserving encryption for structured identifiers.
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    An MCP server that allows searching for and retrieving information about Model Context Protocol servers registered on the MCP Hub.
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    Guides problem-solving by breaking down complex problems into steps and recommending appropriate MCP tools for each stage, with confidence scores and rationales for tool suggestions.
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