Open-Source MCP servers

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

5,018 servers. Last updated -

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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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    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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    Enables sending emails via SMTP with template management, supporting multiple SMTP configurations, template creation with variable substitution, and bulk email sending with rate limiting.
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    A template for creating Model Context Protocol (MCP) servers in TypeScript, offering features like container-based dependency injection, a service-based architecture, and integration with the LLM CLI for architectural design feedback through natural language.
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    Facilitates contract and template management for eSignatures, enabling users to create, send, update, and manage contracts and templates with customizable options through a user-friendly interface.
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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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    A simple template for creating custom tools for Cursor IDE using Model Context Protocol, deployable via Heroku, Docker, or directly within Cursor IDE.
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    A template repository for creating custom Model Context Protocol (MCP) servers in Python that can be integrated with applications like Claude Desktop or Cursor.
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    A TypeScript template for creating Model Context Protocol servers that enable AI models to utilize external tools, including example operations and simple number addition functionality.
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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 starter template for building Model Context Protocol servers that can be integrated with Cursor or Claude Desktop, allowing developers to create custom tools and extensions for AI assistants.
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    A TypeScript-based template for developing Model Context Protocol servers with features like dependency injection and service-based architecture, facilitating the creation and integration of custom data processing tools.
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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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    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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    A TypeScript-based starter template for building Model Context Protocol servers that enables AI assistants to dynamically call tools, interpret prompts, and manage resources through modular architecture with support for multiple transport methods.
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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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    A Model Context Protocol server that transforms text into structured JSON data using templates with placeholders.
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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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    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 repository for bootstrapping Model Context Protocol (MCP) servers with WebSocket and SSE support, enabling real-time bidirectional communication and server-to-client streaming in Cloudflare Workers.
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    A template repository for building Model Context Protocol (MCP) servers that enables developers to create interactive AI agents with real-time bidirectional communication capabilities through WebSocket and SSE endpoints.
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    A template for creating custom tools for Cursor IDE using Model Context Protocol that allows users to deploy their own MCP server to Heroku and connect it to Cursor IDE.
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    Connects AI assistants to the TailorKit API, enabling them to manage customizable product templates for e-commerce platforms through natural language conversations.
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    A production-ready template for creating Model Context Protocol servers with TypeScript, providing tools for efficient testing, development, and deployment.
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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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    A streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient.
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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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    A foundation for creating custom Model Context Protocol servers that can integrate with AI systems, providing a simple BMI calculator tool as an example implementation.
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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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    Generates comprehensive and formatted release notes from GitHub repositories, efficiently organizing commits by type and including detailed statistics using smart API usage.
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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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    • Apple