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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.

9,482 servers. Last updated -

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Matching MCP servers:

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    A guide for implementing Model Context Protocol (MCP) servers that provide AI models with external tools like web search, text manipulation, and mathematical operations.
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    Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.
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    A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.
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    Apache 2.0
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    Provides software development planning tools to help users create implementation plans and manage todo items.
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    Enables AI agents to track and manage product development projects through structured 7-phase lifecycles with sprint tracking, role-based collaboration, and multi-project support. Provides phase management, progress tracking, and team coordination tools for complete product development workflows.
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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 toolkit that consolidates over 40 development tools into a single MCP, enabling unified management of frontend, backend, mobile development, GitHub repositories, and database operations.
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    Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.
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    An all-in-one development toolkit that integrates 10 popular MCPs with comprehensive features for solo developers, supporting frontend, backend, mobile development, database management, testing, and deployment automation.
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    A Model Context Protocol server that enables seamless integration between Claude AI and development tools like VSCode, Augment, Vercel, Airtable, and Square.
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    Facilitates spec-driven development workflows by providing structured prompts for generating requirements in EARS format, design documents, and implementation code following a systematic approach.
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    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
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    Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.
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    An MCP Server that provides a conversational interface to the UK Open Banking account information API, allowing agents to interact with bank account data through natural language commands.
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    A Model Context Protocol server that enables Claude to manage software development projects with complete context awareness and code execution through Docker environments.
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    Provides a complete end-to-end MCP server implementation with file system tools, web scraping capabilities, and system information access. Includes ready-to-use configuration files and integration examples for Claude Desktop, ChatGPT, and other AI models.
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    An AI-powered travel assistant connected to Claude via MCP that helps users plan Amazon Rainforest trips by providing directions, hotel recommendations, adventure spots, cultural sites, and travel precautions.
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    Provides comprehensive access to Salesforce B2C Commerce Cloud development tools including SFCC API documentation, best practices guides, log analysis, and system object definitions. Enables AI assistants to help with SFCC development tasks through both documentation-only mode and full credential-based mode.
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    Enables AI educators to provide simple explanations, interactive demonstrations, and relatable analogies for complex AI concepts during workshops. Makes artificial intelligence topics accessible and engaging for participants through structured teaching tools.
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    A Model Context Protocol server that helps collect and structure project portfolio information through a guided conversation flow.
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    A powerful Model Context Protocol framework that extends Cursor IDE with tools for web content retrieval, PDF processing, and Word document parsing.
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    A TypeScript scaffold for building Model Context Protocol (MCP) tools that let AI models call external services like sending emails or notifications.
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    An MCP server that automatically generates static websites from natural language instructions, creating Next.js-based sites with optional automatic deployment to AWS S3.
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    A simple Model Context Protocol (MCP) server that provides date and time functionality in any timezone, along with user profiles and personalized greeting resources.
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    Enables developers to access kintone API specifications, field type documentation, and development best practices through natural language queries. Supports API request validation and provides comprehensive development guidance for kintone customizations.
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    This MCP wraps Bitrefill public API to allow agents to search for products and shop using cryptocurrencies like Bitcoin, Ethereum, Solana, and many more.
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    A simple server that acts as a Master Control Program (MCP) for unified interaction with OpenAI and Anthropic (Claude) AI models through a single API endpoint.
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    An AI-powered development toolkit for Cursor providing intelligent coding assistance through advanced reasoning, UI screenshot analysis, and code review tools.
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    A comprehensive framework for building reliable Python MCP servers that enforces incremental development practices through Cursor Rules, featuring built-in security measures and a smart rule system.
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    MIT License
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    Enables AI-guided spec-driven development workflow that transforms ideas into implementation through structured stages: goal collection, requirements gathering in EARS format, technical design documentation, task planning, and systematic code execution.
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    An MCP server that enables AI-powered IDEs to implement a structured development workflow from requirements gathering to code implementation, guiding users through goal collection, requirements specification, design documentation, task planning, and execution.
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