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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.

5,171 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    A TypeScript-based MCP server that enables users to query financial news, stock data, and index information while managing text notes with creation and summarization capabilities.
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    MIT License
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    A universal Model Context Protocol implementation that serves as a semantic layer between LLMs and 3D creative software, providing a standardized interface for interacting with various Digital Content Creation tools through a unified API.
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    Apache 2.0
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    Phoenix MCP Server is an implementation of the Model Context Protocol for the Arize Phoenix platform. It provides a unified interface to Phoenix's capabilites. You can use Phoenix MCP Server for: Prompts Management: Create, list, update, and iterate on prompts Datasets: Explore datasets, and synte
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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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    An MCP server that integrates with Fewsats allowing AI agents to securely purchase anything by retrieving balances, accessing payment methods, and processing payments.
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    Enables connections to Azure AI Agents within any MCP client, allowing users to leverage Azure AI Foundry's models and knowledge tools like Azure AI Search and Bing Web Grounding through a conversational interface.
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    Python
    MIT License
    • Linux
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    A dedicated server that wraps Google's Gemini AI models in a Model Context Protocol (MCP) interface, allowing other LLMs and MCP-compatible systems to access Gemini's capabilities like content generation, function calling, chat, and file handling through standardized tools.
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    MIT License
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    An MCP server that provides comprehensive financial insights and analysis by leveraging real-time market data, news, and advanced analytics for stocks, options, financial statements, and economic indicators.
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    MIT License
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    mcp-server-chart
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    Search web using baidu with AI.
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    Apache 2.0
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    The Nx MCP server provides LLMs with comprehensive insights into your monorepo: project dependencies, file relationships, executable tasks, ownership metadata, technology stacks, custom generators, and Nx documentation. This deep context enables LLMs to produce code perfectly aligned with your archi
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    MIT License
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    A personal knowledge management system that transforms daily notes into organized, searchable knowledge using the Model Context Protocol.
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    A personal knowledge management system built on the Model Context Protocol that transforms daily notes into organized, searchable knowledge.
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    MCP-NixOS is a Model Context Protocol server that provides real-time, accurate information about NixOS packages, options, Home Manager, and nix-darwin configurations, preventing AI assistants from hallucinating about NixOS resources and enabling them to deliver factual system configuration guidance.
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    An MCP server that leverages multiple Claude instances to provide enhanced responses by sending the same prompt to two separate instances and using a third to combine or select the best elements.
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    Provides a Model Context Protocol interface for accessing Linear's issue tracking system, enabling users to query and search issues with TypeScript type safety and robust error handling.
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    Provides image generation capabilities using Amazon Nova Canvas through Amazon Bedrock, enabling the creation of visuals from text prompts and color palettes—perfect for mockups, diagrams, and UI design concepts.
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    A Model Context Protocol server that provides AI assistants and language models with access to Laravel 12 documentation, allowing them to list, read, and search through documentation files.
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    MIT License
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    🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.
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    A server for sending messages via WeCom bots using FastMCP, supporting asynchronous communication and message tracking through webhooks.
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    A Python-based Model Context Protocol server that integrates with Claude Desktop, allowing users to connect to Hubble API services by configuring the server with their Hubble API key.
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    This server facilitates interaction with Keboola's Storage API, enabling users to browse and manage project buckets, tables, and components efficiently through Claude Desktop.
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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 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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    A Model Context Protocol server that enables high-quality image generation using the Flux.1 Schnell model via Together AI with customizable parameters.
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    MIT License
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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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    Enables LLMs like Claude to navigate the web through Puppeteer-based tools and Steel. Based on the Web Voyager framework, it provides tools for all the standard web actions click clicking/scrolling/typing/etc and taking screenshots.
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    Provides a Model Context Protocol server for executing AppleScript and JavaScript for Automation scripts on macOS, featuring a knowledge base of pre-defined scripts and supporting automation of macOS applications and system functions.
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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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    MIT License