This is a continuously updated curated list of MCP servers, covering multiple categories such as browser control, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, games, knowledge and memory, location services, marketing, monitoring, search, and utilities. Each project comes with a GitHub link and the number of stars, making it easy for users to quickly understand and use.

Eino is an LLM application development framework designed specifically for Golang, aiming to simplify the AI application development process through concise, scalable, reliable, and efficient component abstraction and orchestration capabilities. It provides a rich component library, powerful graphical orchestration functions, complete stream processing support, and a highly scalable aspect mechanism, covering the full-cycle toolchain from development to deployment.

This is a curated list of Web3 Model Context Protocol (MCP) servers, covering multiple categories such as chain interaction, trading, DeFi, market data, tools, and social. MCP is an open protocol that standardizes how applications provide context to LLMs, similar to the USB - C port for AI applications. DeMCP is the first decentralized MCP network, focusing on providing self - developed and open - source MCP services for agents, supporting cryptocurrency payments, and redefining the security and reliability of MCP by combining TEE and blockchain registries.

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.

A Codecov Model Context Protocol server based on TypeScript that provides code coverage analysis tools and test suggestion functions.

The Cocos Creator MCP Server Plugin is a comprehensive MCP server plugin designed for Cocos Creator 3.8+. It enables interaction between the AI assistant and the editor through a standardized protocol, offering one-click installation and support for 151 tools, covering 98% of the editor's control functions.

The SQL Stream Builder MCP Server is a comprehensive SSB management platform that provides full access to SSB functions through more than 80 MCP tools. It supports independent deployment and CDP deployment, covering functions such as job management, real-time data sampling, system monitoring, and user management.

The Hive Intelligence MCP server provides comprehensive cryptocurrency and Web3 analysis services for AI assistants. It integrates over 200 professional tools through a unified interface, covering multiple fields such as market data, on-chain analysis, portfolio tracking, and security analysis.

NetContextServer is a tool that enhances AI programming assistants' understanding of .NET codebases. It provides functions such as in-depth code analysis, semantic search, and test coverage analysis through the Model Context Protocol (MCP).

The Awesome MCP Registry is a high - quality, structured list of MCP servers, containing over 63 MCP servers covering multiple domains such as browser automation, cloud platforms, databases, and developer tools. The project generates README.md, npm packages, and packages - list.json through JSON configuration files, and can be used as a database for MCP servers and packages to build your own MCP projects and hosting sites.

An unofficial Reactome MCP server that provides a model context protocol service for accessing Reactome pathway and systems biology data. It includes 8 verified functional tools covering bioinformatics analyses such as pathway search, detail acquisition, gene association, and disease mechanism.

BugBounty MCP Server is a comprehensive security testing tool that interacts with LLM through natural language, providing over 92 penetration testing tools, covering functions such as reconnaissance, scanning, vulnerability assessment, web applications, network security, OSINT, vulnerability exploitation, and report generation.

This is a collection of MCP servers focused on the medical field, covering various medical - related MCP service implementations such as PubMed literature retrieval, access to medical preprints, FHIR data interaction, DICOM medical image processing, protein structure analysis, medical computing tools, and integration of medical education resources.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

The Model Context Protocol (MCP) is an open - source protocol that provides a series of reference implementations and community - developed servers. It aims to provide large language models (LLMs) with secure and controllable access to tools and data sources. These servers demonstrate the diversity and scalability of MCP, covering various functions from file system operations to database integration, from web search to AI image generation.

The GoHighLevel MCP server is a fundamental project aiming to connect the GoHighLevel community with AI automation through the Model Context Protocol (MCP). It provides access to all sub - account level GoHighLevel API endpoints, supports 269 tools, covering multiple functional categories such as contact management, messaging, sales pipelines, and calendar appointments. The project emphasizes community collaboration, an open architecture, and educational resources, while also reminding users to pay attention to key issues such as AI security, rate limits, and data security.

TeamSpeak MCP is a server control tool based on the Model Context Protocol, specifically designed to allow AI models (such as Claude) to manage TeamSpeak voice servers. It provides 39 functional tools, covering all - around operations such as user management, channel control, and permission configuration. It supports multiple deployment methods (PyPI/Docker/local) to achieve automated TeamSpeak management.

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 MCP portal is the official community platform for the Model Context Protocol, providing resources such as documentation, practical guides, server implementations, and tool integrations. It supports AI models to access external tools through the MCP protocol, covering a wide range of scenarios from database connections to multimodal applications.

MCP Open Library is a server based on the Model Context Protocol, providing tools for interacting with the Open Library API. It supports functions such as searching for books by title, searching for author information by author name, getting detailed author profiles and photo URLs, and getting book cover URLs.

MCP-JaCoCo is a service tool that converts JaCoCo code coverage reports into a format suitable for large language models (LLMs), making AI-driven analysis more efficient

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers, covering multiple fields such as browser automation, art and culture, cloud platforms, command - line tools, communication, customer data platforms, databases, developer tools, file systems, finance and fintech, games, knowledge and memory, location services, marketing, monitoring, search, security, travel and transportation, version control, and other tools and integrations.

This project is a comprehensive collection of Model Context Protocol (MCP) servers, aiming to enhance the capabilities of AI models through standardized integration, covering multiple fields such as databases, network automation, and development tools.

SmartLead MCP Server is a cold email automation tool designed for AI assistants, providing over 116 API interfaces, supporting mainstream AI tools such as Claude and Cursor, including a beautiful interactive installer and full SmartLead API coverage.

An MCP server for configuring and managing the Cisco ACI (Application Centric Infrastructure) fabric through the APIC REST API, providing more than 35 tools covering complete fabric management functions such as tenants, application profiles, endpoint groups, bridge domains, VRFs, contracts, and health monitoring.

This project includes the Cloud Security Alliance model context protocol servers, covering various functional modules and service interfaces, including multiple useful tools imported from Anthropic and chat services provided by CSA.

The Financial Modeling Prep MCP Server is a financial data service that implements the Model Context Protocol (MCP), providing over 253 financial tools and covering 24 categories such as stock information, company fundamentals, and market analysis. It supports dynamic tool management, selective tool loading, and multiple configuration modes, providing comprehensive financial data access capabilities for AI assistants.

An intelligent resume generation tool that automatically creates ATS-friendly resumes, cover letters, and email templates that match job requirements, supporting multiple format outputs

This is a curated list of Awesome Model Context Protocol (MCP) Servers, which contains detailed classifications and descriptions of various MCP servers, frameworks, tools, and resources. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. The list covers MCP server implementations in multiple fields, including browser automation, cloud platforms, databases, developer tools, fintech, gaming, and security.

An MCP server tool for generating spoof O'Reilly-style book covers, which can be directly displayed in the Claude desktop application.

The Amazon Ads API MCP SDK is an open-source toolkit that enables AI applications to securely interact with the Amazon Advertising API through the Model Context Protocol. It supports multi-region and comprehensive API coverage and is used to build AI-driven advertising management applications.

This is a list containing a large number of open - source AI projects, covering multiple fields from natural language processing, image generation to automated workflows. These projects aim to help developers build various applications using AI technology, including chatbots, code - generation tools, data - processing systems, etc.

This project uses the MCP protocol and AI technology to build automated network security tools, covering multiple fields such as red - team attack simulation, SOC analysis, malware development, and threat hunting, to achieve the intelligence and automation of security tasks.

This is a curated list of resources for the Model Context Protocol (MCP) ecosystem, covering multiple categories such as official resources, development tools, MCP servers, web integrations, databases, blockchains, AI integrations, voice, mobile applications, development environments, security testing, productivity tools, and system tools.

A curated list of Model Context Protocol (MCP) servers in the DevOps field, covering categories such as infrastructure as code, container orchestration, CI/CD, monitoring and observability, security, and other practical tools.

This tutorial details how to use Python to build a complete MCP (Model Context Protocol) server and client system, including the implementation of a client with a graphical interface. The MCP protocol is used for communication between language models and tool providers. The tutorial covers the entire process from environment setup, server implementation, client development to UI integration.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that cover a variety of tools and integrations, including browser automation, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, file systems, fintech, knowledge and memory, location services, monitoring, search, security, travel and transportation, version control, etc. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers.

The combination of Gemini CLI and the MCP server built with Google Apps Script extends the automation capabilities of Google Workspace through a low - code platform, providing support for 41 tools covering services such as Gmail, Drive, Calendar, etc., and enabling multi - step execution of complex tasks.

The Godot MCP Skill System is a complete set of AI-assisted game development tools, including 11 professional skills, covering the entire development process from project creation to product release. Users can let AI automatically call the corresponding tools to complete complex tasks through natural language descriptions.

The MCP Probe Kit is a powerful development toolset that provides 23 practical tools, covering the entire process of code quality detection, development efficiency improvement, and project management. It is specifically designed for Cursor AI to help developers improve development efficiency and quality.