OpenSumi is a framework that helps quickly build AI - native IDE products. It supports cloud and desktop development environments and provides rich example projects and templates.

An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.

The Exa MCP Server is a server that provides web search capabilities for AI assistants (such as Claude), enabling real-time and secure web information retrieval through the Exa AI Search API.

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 It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.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 Bilibili video search server based on the Model Context Protocol (MCP), providing API interfaces to support video content search, paginated queries, and video information return, including LangChain call examples and test scripts.

This project is a collection of learning resources about Model Context Protocol (MCP), including guides, tools, and server implementations, aiming to help developers understand and apply the MCP standard. The project provides multiple example implementations of MCP servers, such as file system operations, Git management, GitHub integration, etc., as well as development guides and practical tools.

Docfork is an MCP service that provides the latest documentation for AI code editors. It supports documentation synchronization for over 9000 libraries, ensuring that developers can obtain accurate and real-time API documentation and code examples.

ReActMCP Web Search is an MCP server integrated with the Exa API, providing real-time web search functionality for AI assistants, supporting basic search and advanced filtering options, and returning results in Markdown format.

A collection of MCP server examples provided by AWS GCR, covering various functions such as remote desktop, workflow services, AI planning, time services, and HTML rendering

The MCP service for Flux UI component reference, providing query functions for component documentation and examples

An example of MCP client and server using didwba as authentication technology

This project demonstrates how to integrate the MCP (Model Context Protocol) server with Pydantic.AI, includes example code for weather services, and supports interaction through different LLMs (such as GPT - 4 and Sonnet).

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.

GoPluto MCP is a tool that provides real-time service knowledge, routing rules, and code snippets for AI programming assistants, helping developers quickly obtain the latest verified service provider information and code examples.

Model Context Protocol (MCP) .NET sample library, demonstrating how to use the MCP protocol to standardize the context interaction of large language models (LLMs) in .NET applications. It includes examples such as a YouTube subtitle extractor, supports flexible switching of LLM providers, and enables the construction of AI workflows.

An interactive web tutorial for learning how to build an MCP (Model Context Protocol) server, providing step-by-step guidance and real-time code examples.

Zed extension that integrates exa-mcp-server to provide web search and content crawling functions

This project demonstrates a server example developed based on the MCP Java SDK. It does not require the Spring framework and supports providing data and services for LLM applications through the MCP protocol. It includes examples of interacting with MySQL and operating on the file system.

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.

This project is a Python-based MCP server template designed to simplify the AI-assisted development process and provide a standardized implementation of the tool interaction protocol. It includes a weather service example, embedded protocol documentation, and Cursor Rules integration, supports multiple transmission modes, and helps developers quickly build tools that comply with MCP specifications.

This is an example project of building an MCP server with Go language, showing how to create an MCP service and call it through GitHub Copilot.

A server example project for invoking command-line tools via the MCP protocol

A simple MCP server example for generating UUID (v4)

An MCP server designed for AI development and QA, providing AntV documentation context and code examples of the latest APIs, supporting visualization libraries such as G2, G6, and F2.

A simple example project of an MCP Server that implements weather query and message push functions through the Gaode Weather API and DingTalk robot

This project demonstrates how to debug the MCP server in VSCode, includes example code for Python and TypeScript, and integrates the MCP Inspector tool for browser testing.

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.

This is a simple example project showing how to use an SSE server to implement the Model Context Protocol (MCP), including the basic implementation of the server and client.

Exa Pool MCP is a lightweight MCP server that encapsulates the Exa Pool API into a toolset that can be called by AI assistants, facilitating users to conduct searches and content retrieval through tools like Claude.

The MCP server is a service for processing the model context protocol. It supports installation through npm, yarn, or pnpm and provides examples of client calls.

The project description shows how to configure Claude Desktop to integrate the Adfin MCP service, including installing the uv tool, modifying the configuration file, and usage examples.

An example project of an intelligent customer service system based on the MCP framework

This project provides a comprehensive guide for implementing a Model Context Protocol (MCP) server for Cursor AI, including basic concepts, implementation steps, code examples, and integration requirements, aiming to enhance the AI's capabilities through custom tools.

An example project for MCP server configuration, including available configuration files and additional installation step instructions.

This is a project demonstrating how to use MCP Servers in a Chainlit environment. It can be quickly deployed through Azure Open AI integration and Dev Containers, supporting examples such as file system operations.

A simple MCP server example based on FastAPI, providing basic health check and context services for processing parameterized prompt templates.

A simple Kotlin weather query client-server example based on the MCP protocol, demonstrating the tool invocation process.

dicom-mcp is a DICOM-based model context protocol server that provides tools for large language models to query and interact with medical imaging metadata. It supports the retrieval of patient information, examinations, series, and instances, as well as the extraction of text from DICOM-encapsulated PDFs.

An MCP server based on Spring Boot and Spring AI that provides a jOOQ documentation query tool, supports local document storage, full - text search, and code example extraction, and can be deployed via Docker or Fly.io.

A service based on the Model Context Protocol (MCP) that provides search, category browsing, and usage example functions for the Lucide React icon library, supporting AI coding assistants and proxy applications to access icon resources.