Open-Source MCP servers

Production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

4,566 servers. Last updated -

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    Provides pre-defined prompt templates for AI assistants to generate comprehensive plans for TypeScript projects, API architectures, and GitHub workflows.
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    Enables creation, management, and templating of prompts through a simplified SOLID architecture, allowing users to organize prompts by category and fill in templates at runtime.
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    A Model Context Protocol server that provides specialized prompt suggestions for backend development, frontend development, and general tasks to help LLMs generate better content.
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    A server based on Model Context Protocol that provides predefined prompt templates for tasks like code review and API documentation generation, enabling more efficient workflows in Cursor/Windsurf editors.
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    An MCP server that generates images based on text prompts using Black Forest Lab's FLUX model, allowing for customized image dimensions, prompt upsampling, safety settings, and batch generation.
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    Facilitates access and management of Langfuse prompts through the Model Context Protocol, enabling prompt discovery, retrieval, and integration within clients like Claude Desktop and Cursor.
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    TypeScript
    MIT License

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    Enables access to prompt templates managed in MLflow through Claude Desktop, allowing users to instruct Claude with saved templates for repetitive tasks or common workflows.
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    A template for creating custom tools for Cursor IDE using Model Context Protocol (MCP), allowing developers to extend Cursor's functionality with their own server-based tools.
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    MIT License
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    A lightweight MCP server that provides a unified interface to various LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama.
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    An MCP server that allows agents to test and compare LLM prompts across OpenAI and Anthropic models, supporting single tests, side-by-side comparisons, and multi-turn conversations.
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    MIT License
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    An implementation of the Model Context Protocol for the Opik platform that provides a unified interface for accessing Opik's capabilities, supporting multiple transport mechanisms for flexible integration with IDEs and other environments.
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    Apache 2.0
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    Allows AI assistants to generate and transform high-quality images from text prompts using Google's Gemini model via the MCP protocol.
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    MIT License
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    An MCP server that provides tools for interacting with Anthropic's prompt engineering APIs, allowing users to generate, improve, and templatize prompts based on task descriptions and feedback.
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    ISC License
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    An MCP server that allows you to generate and edit images using Amazon Bedrock's Nova Canvas model, supporting features like text-to-image generation, inpainting, outpainting, image variation, and background removal.
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    MCP for Replicate Flux Model. Generating images by prompts
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    An integration that allows Cursor AI to generate images through the Draw Things API using natural language prompts.
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    A TypeScript-based MCP server that generates images using OpenAI's dall-e-3 model based on text prompts and saves them to a specified directory.
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    Enables users to generate images from text prompts using Replicate's model, with configurable parameters and full MCP protocol compliance.
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    A Model Context Protocol server that enables generation of high-quality images using the Flux.1 Schnell model via Together AI, allowing users to create images from text prompts with customizable dimensions.
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    Generate animation like 3blue1brown using a single prompt.
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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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    A Model Context Protocol server that enables AI assistants to generate images, text, and audio through the Pollinations APIs without requiring authentication.
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    A simple MCP server that can send notifications on mac devices.
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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 image recognition capabilities using Anthropic Claude Vision and OpenAI GPT-4 Vision APIs, supporting multiple image formats and offering optional text extraction via Tesseract OCR.
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    Facilitates interactive feature discussions with AI guidance, maintaining context and providing intelligent recommendations for implementation, architecture, and best practices in software development.
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    FastMCP is a comprehensive MCP server allowing secure and standardized data and functionality exposure to LLM applications, offering resources, tools, and prompt management for efficient LLM interactions.
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    A Model Context Protocol (MCP) server that provides JSON-RPC functionality through OpenRPC.
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    Apache 2.0
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    An MCP (Model Context Protocol) server that allows generating, editing, and creating variations of images using OpenAI's DALL-E APIs.
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    Built as a Model Context Protocol (MCP) server that provides advanced web search, content extraction, web crawling, and scraping capabilities using the Firecrawl API.
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    A production-ready Model Context Protocol server that enables language models to leverage AI-powered web scraping capabilities, offering tools for transforming webpages to markdown, extracting structured data, and executing AI-powered web searches.
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    • Apple