Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.

The Magic Component Platform (MCP) is an AI-driven UI component generation tool that helps developers quickly create modern UI components through natural language descriptions and supports integration with multiple IDEs.

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.

LLM Context is a tool that helps developers quickly inject code/text project content into the chat interface of large language models, supporting intelligent file selection and multiple integration methods.

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.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

JADX is a powerful decompilation tool for Android Dex and Apk files. It supports converting Dalvik bytecode into Java source code, decoding resource files, and restoring code obfuscation. It provides two operation modes: command-line and graphical interface, and is suitable for developers and security researchers.

Apple Doc MCP is a model context protocol server that provides direct access to Apple developer documentation. It is integrated into the AI programming assistant, supporting intelligent search, framework browsing, and detailed documentation retrieval.

HiMarket is an out-of-the-box enterprise-level AI open platform solution that provides three core components: a management backend, a developer portal, and an AI gateway. It supports packaging AI capabilities such as model services and MCP Server into standardized API products and publishing them.

FileScopeMCP is a code analysis tool based on TypeScript. It helps developers quickly understand the codebase structure by calculating file importance scores, tracking dependency relationships, generating visual charts, and adding file summaries. It supports analysis of multi-language projects, provides Mermaid chart generation and persistent storage functions, and can be integrated with Cursor's model context protocol.

mcp-chat is an open-source and general-purpose MCP client tool for testing and evaluating MCP servers and proxies. It supports command-line interaction and web mode, can connect to various MCP servers (JS/Python/Docker), and provides functions such as chat history recording, model selection, and system prompt customization to help developers debug MCP services.

The Rust MCP SDK is a high - performance, asynchronous toolkit for building MCP (Model Context Protocol) servers and clients. It simplifies the development process, allowing developers to focus on application logic while providing powerful features and consistency guarantees.

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.

The MCP Git Commit Generator is a tool based on the Model Context Protocol that can automatically generate commit messages conforming to the Conventional Commits specification based on staged git changes. It supports multiple installation methods (uvx, PyPI, Docker) and various MCP client configurations, provides functions such as automatic commit message generation and git status checking, and includes developer tools and debugging support.

Magic-API MCP Server is a model context protocol server designed specifically for Magic-API development, providing a complete development toolchain, including documentation query, API call, resource management, debugging, and backup functions, to help developers efficiently build and manage Magic-API interfaces.

This is a curated list of developer tools, SDKs, libraries, utilities, and resources for interacting with the Model Context Protocol (MCP) server.

The Flutter MCP Server is an open - source implementation of the Model Context Protocol (MCP) for the Dart/Flutter ecosystem. It provides a unified API interface for AI assistants and developer tools, supports remote calls to the Dart/Flutter development toolchain, and enables secure and programmable automated development processes.

Cortex is an MCP (Model Context Protocol) server framework implemented in Go, allowing developers to build MCP services declaratively and provide context and tool support for LLMs through a standardized protocol.

The Box - MCP - Server is a model context protocol server for interacting with the Box cloud storage service. It supports authentication through JWT or developer tokens and provides file search and reading functions.

MCP-Memos is a memo tool based on the MCP protocol, designed specifically for developers. It supports quick recording and retrieval of text information without switching applications. It uses large language models to provide powerful fuzzy search capabilities, including semantic understanding, context awareness, and natural language query functions.

The MCP Python SDK is a Python development toolkit that implements the Model Context Protocol (MCP), allowing developers to build standardized MCP servers and clients to provide context data, tools, and interaction templates for LLM applications.

The MCP Game Helper is a custom model context protocol server that provides AI - assisted tools for game developers, focusing on tasks such as combat balance, skill analysis, level rhythm, and simulation.

FastMCP - Scala is a high - level, developer - friendly library based on Scala 3 for building Model Context Protocol (MCP) servers. It provides ZIO effect handling, annotation - driven APIs, automatic JSON schema generation, and seamless integration with the Java MCP SDK.

A production-ready MCP server template for hosting custom AI tools and prompt templates, supporting remote deployment and local operation, helping developers quickly build AI model interaction tools.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers, covering multiple categories such as file systems, databases, web search, version control, communication, and developer tools, aiming to expand the capabilities of AI models.

The Last9 MCP Server is a server implementing the Model Context Protocol, providing local integration of real - time production environment data (logs, metrics, traces) for AI developers to help quickly and automatically fix code.

This is a lightweight Model Control Protocol (MCP) server based on Cloudflare Workers, used to connect agents (such as Cursor) with the Neon REST API, and supports developers to extend functions through tools.

The Plane MCP Server is a model context protocol server that provides seamless integration with the Plane API, supporting functions such as project management, work item operations, and automation processes. It is suitable for developers and AI tool integration.

FlyonUI MCP Server is a tool that helps developers quickly build modern, production - ready UI blocks, components, and landing pages. It supports multiple popular frameworks and can be seamlessly integrated with commonly used IDEs.

Nexus is an AI search server based on the Model Context Protocol (MCP), providing zero-configuration installation, intelligent web search, and source citation functions, designed specifically for developers.

easyMcp is a tool that helps developers quickly build an extensible MCP server framework, supports two startup modes (stdio and SSE), and simplifies the development process.

This project guides developers on how to integrate the MCP service with GitHub Copilot to extend the capabilities of the AI-assisted development workflow. Through less than an hour of learning, users will set up the GitHub MCP server, implement Copilot proxy mode integration, and complete the full process practice from issue research to code submission.

The Graphiti MCP Server is a server based on multi - project knowledge graphs, supporting the rapid construction and management of temporary knowledge graphs for AI agents to query through the model context protocol. This project extends the official getzep/graphiti MCP Server, adds support for multiple servers and a single database, and provides a CLI tool with an optimized developer experience.

This project is a collection of resources related to the security of the Model Context Protocol (MCP), including research papers, security vulnerability analyses, tools, articles, and other relevant resources. It aims to help developers and security experts understand and address security challenges in the MCP protocol.

CereBro.Unity is a model-agnostic AI agent wrapper based on CereBro, supporting the Model Context Protocol (MCP), allowing developers to write tools that can be used across AI models.

The Pinecone Developer MCP Server is a service based on the Model Context Protocol standard, aiming to connect AI tools with Pinecone projects, providing functions such as document search, index configuration, code generation, and data operation.

The OpenFGA MCP Server is an experimental Model Context Protocol service that enables large language models to read from and write to the OpenFGA authorization store, providing fine-grained permission management capabilities for AI agents and developers.

The Payload CMS 3.0 MCP Server is a model context protocol server designed specifically for Payload CMS development, offering code validation, template generation, and project scaffolding functions to help developers build applications following best practices.

The Mia-Platform Console MCP Server is a server based on the Model Context Protocol (MCP), providing seamless integration with the Mia-Platform Console API and supporting advanced automation and interaction functions for developers and tools.

The Nodit MCP Server is a middleware that connects AI agents and developers to multi - chain structured blockchain data, providing simplified Web3 data access through the standardized Model Context Protocol.