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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.

9,499 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    Provides Node.js debugging capabilities with process management for AI agents, allowing them to start/stop Node.js processes, set breakpoints, step through code, and evaluate expressions.
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    An MCP server that provides weather information like forecasts and alerts for US locations using the National Weather Service API.
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    A Node.js implementation for vector search using LanceDB and Ollama's embedding model.
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    Enables running arbitrary JavaScript code in isolated Docker containers with on-demand npm dependency installation, allowing for ephemeral script execution and long-running services with controlled resource limits.
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    Enables running arbitrary JavaScript code in isolated Docker containers with on-the-fly npm dependency installation, supporting both ephemeral one-shot executions and persistent sandbox environments.
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    Enables AI assistants to debug Node.js applications using Chrome DevTools Protocol. Provides comprehensive debugging capabilities including breakpoints, stepping, variable inspection, expression evaluation, and console monitoring.
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    MIT License

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    An MCP server that enables fetching web content using the Node.js undici library, supporting various HTTP methods, content formats, and request configurations.
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    A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.
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    A comprehensive Model Context Protocol server that provides advanced Node.js development tooling for automating project creation, component generation, package management, and documentation with AI-powered assistance.
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    A secure Node.js execution environment that allows coding agents and LLMs to run JavaScript dynamically, install NPM packages, and retrieve results while adhering to the Model Control Protocol.
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    A MCP server that provides timezone-aware date and time operations. This server addresses the common issue where AI assistants provide incorrect date information due to timezone confusion.
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    Enables AI assistants to make real phone calls on your behalf using VoIP, handling conversations automatically through OpenAI's Real-Time Voice API. Simply tell Claude what you want to accomplish and it will call and manage the entire conversation for you.
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    Provides AI agents with access to a comprehensive database of 200+ Next.js documentation URLs for intelligent document selection and retrieval. Enables Claude and other AI assistants to analyze user queries and recommend the most relevant Next.js documentation pages.
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    JavaScript implementation of MiniMax MCP that enables interaction with MiniMax AI services for image generation, video generation, text-to-speech, and voice cloning through MCP-compatible clients.
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    A template for building MCP servers in Next.js applications using the Vercel MCP Adapter. Provides a foundation for adding custom tools, prompts, and resources to any Next.js project with deployment support on Vercel.
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    MIT License
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    Provides comprehensive time manipulation capabilities including timezone conversions, date arithmetic, business day calculations, duration calculations, and recurring event handling. Enables natural language time queries with high performance and intelligent caching.
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    Provides AI agents with powerful JavaScript/TypeScript code analysis and transformation capabilities using the tree-hugger-js library.
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    A drop-in Model Context Protocol server implementation for Next.js projects that enables AI tools, prompts, and resources integration using the Vercel MCP Adapter.
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    A drop-in MCP server implementation for Next.js projects using Vercel MCP Adapter, allowing developers to integrate model context protocol functionality with custom tools, prompts, and resources.
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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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    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 utility tool that analyzes Next.js application routes and provides detailed information about API paths, HTTP methods, parameters, status codes, and request/response schemas.
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    A Model Context Protocol server that provides system notification capabilities across various platforms (macOS, Windows, Linux) using node-notifier.
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    A Model Context Protocol server built with Next.js that provides AI assistants with access to custom tools and resources. Includes example tools for echoing messages and performing mathematical operations, with support for both SSE and HTTP transports.
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    Provides access to Backbone.js documentation chapters as readable resources and enables full-text search across all chapters. Users can browse documentation content and search for specific topics within the Backbone.js framework materials.
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    A Model Context Protocol server that enables AI assistants like Claude to use Bouyomichan (a Japanese text-to-speech program) for voice reading with adjustable voice types, volume, speed, and pitch.
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    A sample implementation of a Model Context Protocol server using Next.js and the Vercel MCP Adapter, allowing developers to create AI assistants with custom tools and resources.
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    MIT License