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 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 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 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).

ChatPPT is an AI - driven presentation generation service that supports generating PPTs according to themes or requirements, automatically creating PPTs by uploading documents, and provides online editing and download functions. Its MCP server supports 18 intelligent document processing APIs, covering various scenarios such as PPT production and resume analysis.

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.

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.

An MCP server based on the Open Library API, providing book and author information query functions for AI assistants, supporting searching for books by title, searching for authors by name, obtaining detailed author information and photo URLs, as well as book cover URLs.

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.

A production-level Airtable MCP server based on OAuth 2.0 authentication, providing complete Airtable API coverage and a standardized MCP interface, supporting AI assistants to interact with Airtable.

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.

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.

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

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.

awesome - mcp is a project that collects and shares MCP (Model Context Protocol) servers, covering various MCP server implementations contributed by the official and the community, including multiple fields such as AI, databases, browser automation, code management, image generation, search, and storage.

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.

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 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.

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.

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.

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.

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.

Test Coverage MCP is an MCP server that provides test coverage data for AI programming agents. It supports parsing LCOV format files, allowing agents to view coverage changes in real - time when coding, avoid coverage decline, and track improvement progress.

This project provides a series of example modules using the AWS Model Context Protocol (MCP), covering multiple languages and technology stacks, including TypeScript, Python, Spring AI, etc., demonstrating the application of MCP in scenarios such as client-server communication, ECS deployment, and RAG integration.

An MCP server that provides AI assistants with comprehensive access to Cisco Webex messaging features, including 52 tools covering core functions such as message, space, team, and user management. It supports Docker deployment and dual transmission modes.

Awesome MCP Servers is a carefully curated list that includes various implementations of Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. This list covers production-ready and experimental MCP servers, extending AI capabilities through file access, database connection, API integration, and other context services.

A well - organized collection of Model Context Protocol (MCP) servers, covering enterprise support implementation, demonstration implementation, integration tools, community contributions, and development frameworks, aiming to provide developers with rich resources and tools.

This is a comprehensive collection of Model Context Protocol (MCP) servers, covering multiple categories such as AI services, art and culture, browser automation, cloud platforms, cloud storage, command lines, communication, customer data platforms, data science tools, databases, developer tools, file systems, finance, games, knowledge and memory, location services, marketing, monitoring, notes, other tools and integrations, research and data, search, security, social media, system automation, travel and transportation, version control, and workflow automation.

The E2B Cookbook is a project containing various example codes and guides for development using the E2B SDK. It covers a variety of scenarios from basic introduction to advanced applications, including integration with different LLM providers, integration of AI frameworks, and practical application cases.

A collection of 46 professional AI sub - agents to expand the functionality of Claude Code, covering multiple fields such as development, architecture, language, infrastructure, quality and safety, data AI, etc., and achieving task optimization through specific model allocation.

DollhouseMCP is a server based on the Model Context Protocol (MCP) that provides dynamic AI character management functions and supports sharing and commercializing characters through the GitHub community. It includes 23 tools, covering the full lifecycle management of character creation, activation, editing, validation, etc., and has enterprise-level security measures and an automatic update system.

The Allstacks MCP Server is a Model Context Protocol service that provides comprehensive access to the Allstacks API. It supports over 208 tools through HTTP basic authentication, covering 12 categories such as metric analysis, work item management, user teams, organizational projects, dashboards, employee analysis, predictive planning, tag management, alert monitoring, AI intelligence, work packages, and risk management.

This is a list of multiple open - source AI projects, covering multiple fields such as automated agents, large - language models, image generation, and AI development frameworks. These projects aim to help developers make money using AI technology, including building intelligent assistants, automating workflows, and content generation applications.