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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.

11,217 servers. Last updated -

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    Intelligent AI routing and integration platform for seamless provider switching
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    Apache 2.0
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    Enables web content extraction, screenshot capture, web search, arXiv paper search, and image search through Jina AI's APIs. Provides tools for reading URLs as markdown, searching the web for current information, and finding academic papers or images.
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    A Model Context Protocol server that enables Claude to generate and upscale images through the Letz AI API, allowing users to create images directly within Claude conversations.
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    Enables real-time tracking of AI/LLM research progress by searching and aggregating content from arXiv, GitHub, Hugging Face, and Papers with Code. Supports intelligent search, automated daily/weekly research summaries, and covers 15+ AI research areas with smart caching.
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    MIT License
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    A Model Context Protocol server that integrates with ServiceNow instances, allowing users to utilize AI tools within ServiceNow without writing code.
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    A simple AI development tool that helps users interact with AI through natural language commands, offering 29 tools across thinking, memory, browser, code quality, planning, and time management capabilities.
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    Enables AI assistants to intelligently select and switch between different AI models (OpenAI, Anthropic, etc.) within the same conversation based on task requirements. Provides a unified interface for accessing multiple AI providers through a single MCP tool.
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    Provides unified access to 100+ AI models from OpenAI, Anthropic, Google, AWS Bedrock and other providers through a single MCP interface. Enables seamless switching between different AI models using LiteLM's unified API without requiring separate integrations for each provider.
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    MIT License
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    A Model Context Protocol server implementation that provides a standardized interface for interacting with Smallest.ai's knowledge base management system.
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    An MCP server that provides access to Jina AI's powerful web services (page reading, web search, fact checking) through Claude.
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    A secure Model Context Protocol server that enables Claude Code to connect with OpenAI and Google Gemini models, allowing users to query multiple AI providers through a standardized interface.
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    Enables AI agents to consult with multiple AI models (GPT, Gemini, Grok, etc.) through OpenRouter with intelligent auto-selection, conversation history, and caching. Allows your AI assistant to seek expert opinions from specialized models for different tasks like coding, analysis, or general questions.
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    Enables AI assistants to automatically log and manage conversation history with developers in structured markdown format. Provides powerful search and context suggestions to help AI understand project history and maintain continuity across sessions.
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    Helps refine AI-generated content to sound more natural and human-like. Built with advanced AI detection and text enhancement capabilities.
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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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    A MCP server that enables Claude and other MCP-compatible assistants to generate images from text prompts using Together AI's image generation models.
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    An MCP Server that integrates with Stability AI's API to provide high-quality image generation, editing, and manipulation capabilities including background removal, outpainting, search-and-replace, and upscaling.
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    MIT License
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    Enables AI models to dynamically create and execute their own custom tools through a meta-function architecture, supporting JavaScript, Python, and Shell runtimes with sandboxed security and human approval flows.
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    Implementation of Model Context Protocol (MCP) server that provides tools for accessing Google Cloud's Vertex AI Gemini models, supporting features like web search grounding and direct knowledge answering for coding assistance and general queries.
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    Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
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    A Model Context Protocol implementation for managing and serving AI prompts with a TypeScript-based architecture in a monorepo structure.
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    An MCP server that enables AI agents to interact with Extend's spend management APIs, allowing virtual card management, transaction tracking, and receipt processing through natural language.
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    Allows users to integrate their custom Quickchat AI Agents into various AI applications (Claude Desktop, Cursor, VS Code, etc.) through the Model Context Protocol, enabling AI-to-AI interactions.
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    Enables dynamic creation and orchestration of hierarchical AI agent teams with role-based personas and domain knowledge injection. Supports multi-agent collaboration, session management, and complex task execution through structured team workflows.
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    Model Context Protocol server that enables AI assistants to perform keyword research, SEO analysis, and content planning through natural language queries against kwrds.ai's SEO tools.
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    Apache 2.0
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    Enables intelligent Kubernetes deployments, automated documentation testing, organizational pattern management, and shared prompt libraries. Provides AI-powered recommendations based on cluster capabilities and automates DevOps workflows through conversational interfaces.
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    Provides access to Jina AI's web services including webpage content extraction, web search, and fact-checking capabilities optimized for LLM consumption.
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    A lightweight Python-based server designed to run, manage and create CrewAI workflows using the Model Context Protocol for communicating with LLMs and tools like Claude Desktop or Cursor IDE.
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    Provides programmatic access to Pydantic-AI documentation as an MCP server, enabling retrieval of specific documents, listing of topics, and access to changelog information.
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    A proof-of-concept tool that integrates AI into security operations, allowing users to perform offensive security tasks like network scanning and reconnaissance through natural language commands to GitHub Copilot.
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    Apache 2.0