MCPSvr is an innovative community directory project for MCP servers, originating from the 5ire project. It aims to help developers discover excellent tools and simplify the process of sharing their own MCP servers.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol, enabling convenient access to open data and community - based publishing.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol. The project provides a CLI tool to achieve a 2 - minute connection (currently supporting Claude) and establishes a community collaboration framework that allows developers to easily contribute and publish public data sets. The core goal is to build an infrastructure that connects all LLM applications with millions of public data sets.

An MCP server that can dynamically obtain coding rule files for AI agents from GitHub repositories without local storage, supporting multiple community rule sets and custom rule libraries.

The project involves documentation, sample code repositories, and community resources for the LangChain framework, including technical content such as Python programming, AI agent development, FastAPI integration, and LLM fine-tuning.

This project is a Reddit service interface based on the Model Context Protocol (MCP), implemented through the Python Reddit API Wrapper (PRAW), which allows AI assistants to access and interact with Reddit content. The project provides functions such as user information analysis, getting popular posts, community statistics, and viewing trending sub - forums, and supports authenticated users to post and comment.

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.

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.

A code problem-solving service that combines various AI and community resources. By integrating the analyses of Gemini AI, Stack Overflow, and Perplexity AI, it provides developers with multi - perspective programming solutions.

DeRisk is an AI-native risk intelligent management system that provides comprehensive and in-depth application system risk protection 24/7. It is based on a modular framework developed through open-source community collaboration and focuses on the ability derivation in the risk and data fields.

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.

Academic Hub is a revolutionary research platform that provides AI - assisted paper creation, sharing, and collaboration functions for researchers, including paper construction, plagiarism detection, and academic community interaction.

An MCP server that provides professional capabilities of community rating, community evaluation, and property valuation for AI assistants, offering authoritative property data services based on multi - dimensional indicators.

A collection of Model Context Protocol (MCP) servers, providing reference implementations and community resources, supporting enterprises to access AI tools in a secure and controllable manner, including service examples such as weather and search.

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.

The Napkin AI MCP Server is an unofficial community - maintained tool that provides AI assistants (such as Claude) with the ability to generate visual content such as infographics, mind maps, and flowcharts through the Model Context Protocol. It supports multiple output formats (SVG, PNG, PPT) and storage backends (local, S3, Google Drive, etc.), and includes asynchronous processing, automatic polling, and retry mechanisms.

AutoGPT is an open - source AI agent toolkit that provides a modular and extensible framework, supporting users to build, test, and monitor AI agents. The project includes the Forge Innovation Lab, a Benchmark testing environment, and a user - friendly front - end interface, and uses the Agent Protocol for standardized communication. The community is active, regularly hosting hackathons and other activities to drive innovation.

Awesome MCP Servers is a community - maintained curated collection of MCP servers that supports multiple programming languages and service types, aiming to expand AI capabilities.

The free community MCP server of OctoEverywhere provides secure and private access services to 3D printers for AI agents through the Model Context Protocol (MCP). Users can link printers, obtain access tokens, and achieve remote monitoring and control.

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.

The LangChain MCP server provides seamless access to the LangSmith prompt library, containing over 1000 community-verified AI prompts, supporting advanced search, metadata viewing, and version control, and is compatible with multiple MCP clients.

The free community MCP server of OctoEverywhere provides secure and private access services to 3D printers for AI agents through the Model Context Protocol (MCP), supports printers of various brands, and includes functions such as real-time status monitoring and print control.

Top Rank Agent is a collection of MCP (Model Context Protocol) resources specially designed for Chinese users, providing basic introductions, usage guides, client and server resources, and community resources to help users quickly get started with this 'universal plug' in the AI field.

This is an MCP server project that integrates all API features of QuickBooks Time. It includes tools such as task codes, reporting, timesheets, and user management. It is developed with AI assistance and is open - source for the community to improve.

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 Freelo MCP Server is an unofficial community project that provides a proxy server based on the Model Context Protocol (MCP) for the Freelo API, enabling communication with the Freelo API and supporting integration into AI assistants such as Cline and Claude that support the MCP protocol. The project consists of two main components: a REST API server and an MCP server, and supports functions such as project management, task management, and file management.

The MCP portal is the official community platform for the Model Context Protocol (MCP), providing documentation, practical guides, server implementations, tool integrations, interactive labs, and community resources. It supports AI models to access external tools through the MCP protocol, enabling various functions from web browsing to database access.

This is a generative AI course project for beginners, providing a complete learning path from environment setup to practical application. The project includes 6 concept courses and 6 programming courses, using the Azure OpenAI service for practical operations. Learners can quickly start through GitHub Codespaces or choose to install the Python environment locally. The project emphasizes the secure management of API keys and provides detailed setup guides. In addition, learners are encouraged to participate in open-source contributions, and an AI community communication platform is provided.

Boycott is a community-led project aimed at helping consumers make informed choices through publicly transparent corporate ethical data and motivating enterprises to assume social responsibility by recording their ethical and unethical behaviors.

Awesome MCP Servers is a structured and comprehensive list of MCP servers designed to enhance AI capabilities by providing access to local and remote resources. The project covers an introduction to the MCP protocol, clients, tutorials, server classifications, frameworks, tools, and community resources.

A code problem-solving service that combines multiple AI and community resources. By integrating the analysis of Gemini AI, Stack Overflow, and Perplexity AI, it provides multi - angle programming solutions for developers.

Pro MCP is a community-driven directory of Model Context Protocol (MCP) servers, aiming to provide a comprehensive list of MCP servers for developers and AI enthusiasts and promote the development of intelligent applications.

Ranex Community Edition is an AI-native Python governance framework that ensures the production readiness of AI-generated code through functions such as state machine verification, security scanning, and architecture checking.

The mcp-server-suite is an open-source collection of MCP servers, aiming to become the 'HuggingFace' in the field of automation. It provides modular server components, supporting various functions from web searches to database operations, and encourages community contributions for expansion. The project includes core servers and various planned professional services, covering AI/ML, software development, and non-technical scenarios. The goal is to simplify the automation process through a standardized protocol.

MCPSvr is a community-driven MCP server directory platform originating from the 5ire project, aiming to help developers discover excellent tools and conveniently share their MCP server implementations.

The GPTers Search MCP Server is an MCP server that provides knowledge search services for the GPTers AI learning community, supporting the retrieval of community content through the MCP protocol to clients.

MCP Riot Server is a community-developed project that integrates the Riot Games API to provide natural language query services for League of Legends data to AI assistants.

Activepieces is an open-source automated workflow platform designed to replace Zapier. It provides an extensible, type-safe TypeScript framework, supports the integration of more than 200 services, and features AI-first, enterprise-level security, and human intervention processes. The project emphasizes developer-friendliness and community contributions, and supports multi-language translation and custom templates.