The MCP-Framework is a TypeScript-based framework for elegantly building Model Context Protocol (MCP) servers. It provides an out-of-the-box architecture, supports automatic directory discovery of tools, resources, and prompts, and has multiple transmission methods and type-safe features.

FastMCP is a TypeScript-based framework for building MCP servers that support client sessions. It provides simple definitions for tools, resources, and prompts, supports functions such as authentication, session management, returning image and audio content, logging, error handling, SSE communication, etc., and includes CLI tools for testing and debugging.

Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.

A service based on the Model Context Protocol (MCP) that supports the specification-driven development process, guiding developers through a systematic development process from requirement generation, design documents to code implementation via structured prompts.

LiteMCP is a TypeScript framework for elegantly building MCP (Model Context Protocol) servers. It provides the definition of tools, resources, and prompts, supports full - TypeScript development, has built - in logging, error handling, and CLI debugging tools, as well as SSE transmission support.

The Dify MCP client plugin, as an agent strategy plugin, allows ReAct agent nodes to connect to the MCP server, converting the list of tools, resources, and prompts into Dify tools for LLM to call.

A NestJS module for easily exposing AI tools, resources, and prompts via the Model Context Protocol (MCP), supporting multiple transport types and automatic discovery and registration functions.

A Model Context Protocol (MCP) server template project based on TypeScript, providing a structured, maintainable and extensible framework, including implementation examples of tools, resources and prompts, supporting configuration management, logging, error handling and containerized deployment.

An enhanced MCP server that supports intelligent retrieval, combination, and management of prompts from GitHub repositories, providing advanced search, real-time synchronization, and usage analysis functions.

oatpp-mcp is an implementation of Anthropic's Model Context Protocol (MCP) based on the Oat++ framework, supporting auto-generated API tools, STDIO and HTTP SSE transmission methods, as well as server functions such as prompts, resources, and tools.

MCP is an open-source protocol for standardizing LLM interactions, providing a unified framework for connecting data sources, obtaining context, using tools, and executing standard prompts. Project examples demonstrate how to build MCP servers and clients to implement knowledge base chatbot functionality.

An image processing server based on the MCP protocol that enables professional - level image editing functions through natural language instructions, including generation, modification, background removal, and hosting services.

A text editing system integrated with Claude Desktop, which realizes text selection, editing, and automatic replacement functions at the macOS system level through the MCP protocol, supporting custom prompts and desktop notifications.

WebMCP is a project that allows websites to support client-side LLMs (Large Language Models). It enables the sharing of tools, resources, and prompts between websites and LLMs through a local WebSocket server without the need for API keys and supports multiple models.

A TypeScript-based MCP server that uses OpenAI's DALL-E 3 model to generate images based on text prompts.

A PHP-based tool for quickly building MCP servers, supporting the creation of tools, exposure of resources, and definition of prompts, simplifying LLM context management.

Achieve AI - driven design automation in Figma through natural language prompts

This project is an MCP server for managing memory text files, helping AI models like Claude maintain context between conversations. It provides functions to add, search, delete, and list memories, supporting exact matching operations based on substrings. It is designed to store memories in simple text files, similar to ChatGPT's memory mechanism, and triggers memory storage through prompts and training.

An MCP server based on Claude AI for optimizing programming prompts and enhancing the usage experience in AI IDEs such as Cursor.

GistPad MCP is a Node.js-based server for managing personal knowledge, daily notes, and reusable prompts via GitHub Gists. It works with the VS Code extension and the GistPad.dev website, supporting access to and editing of Gists from any MCP-compatible AI product.

rs_filesystem is a simple file system toolset that can be used in the Claude desktop or other MCP clients, providing functions for displaying resources, prompts, and tools, and communicating through the MCP protocol.

An MCP server for image generation and editing based on the OpenAI gpt-image-1 model, supporting the creation and modification of images through text prompts, providing convenient integration methods and rich configuration options.

An image generation and editing tool based on the OpenAI GPT-4o/gpt-image-1 model, supporting image generation through text prompts, image editing (such as repair, extension, composition, etc.), and being compatible with multiple MCP clients.

CC-Meta is a Claude code prompt iteration tool within the terminal that helps optimize the clarity, completeness, and effectiveness of prompts through instant AI feedback.

An image generation server based on the MCP protocol, using the Replicate flux-schnell model, supporting image generation through text prompts and configurable with various parameters.

An unofficial JavaScript SDK for implementing the Model Context Protocol (MCP) server, supporting the definition of prompts, resources, and tools.

OpenAPI-MCP is a proxy server that can dynamically convert OpenAPI specifications into standardized MCP tools, resources, and prompts, simplifying the integration process between AI agents and external APIs.

MCP Advisor is a server that provides access to the complete Model Context Protocol specification. It helps LLMs and humans understand the MCP specification through prompts and resources, including JSON schemas and detailed documentation.

The MCP Prompts Server is a service system for managing and applying AI prompt templates, supporting multi-format conversion, variable replacement, and resource integration. It can work in collaboration with other MCP services.

The MCP Image Generator is an image generation service based on Together AI or Replicate, supporting access through an SSE endpoint or local running, and providing the function of generating images based on text prompts.

PromptLab is an intelligent system that optimizes basic user queries into AI system prompts through MLflow integration, providing dynamic template matching and parameter extraction functions.

The MOCO MCP Server provides employees with read-only access to the MOCO API, supporting time tracking, project management, holiday tracking, and attendance monitoring. It includes 7 tools and 8 intelligent prompts.

The Clockify MCP service is a server integrated with AI tools for managing time records in Clockify. Users can record time entries by sending prompts to large - language models.

A CLI tool based on the FastMCP framework for quickly building MCP servers, supporting both stdio and HTTP transport methods, including a structure for defining tools, resources, and prompts, and providing TypeScript support and development script configuration.

This project is a stdio server based on the Model Context Protocol (MCP), used to forward prompts to OpenAI's ChatGPT (GPT-4o), supporting advanced summarization, analysis, and reasoning functions, suitable for assistant integration in the LangGraph framework.

cal2prompt is a command-line tool that can convert Google Calendar schedules into custom prompts or text fragments, supporting template engines and the MCP server mode.

The MCP Chain of Draft Prompt Tool is a tool that enhances the reasoning ability of LLMs. By converting standard prompts into Chain of Draft or Chain of Thought format, it significantly improves reasoning quality and reduces token usage.

Achieve seamless integration between Claude Desktop and the API through the MCP server, break through the limitations of the professional version, and support custom system prompts and conversation management.

The MCP server is used to store and call programming rules, prompts, etc. on demand, helping developers share specifications across different projects and IDEs

Agent Care is a server based on the MCP protocol, providing medical tools and interaction prompts for electronic medical record systems such as Cerner and Epic, and supporting access to FHIR data and medical resources.