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.

This project compiles a list of popular Model Context Protocol (MCP) servers based on Smithery.ai usage data. MCP is an open-source standard developed by Anthropic for establishing secure two-way connections between data sources and AI tools.

The Metoro MCP Server is an open-source project that connects Kubernetes cluster data to the Claude desktop application via the Model Context Protocol, enabling AI-driven cluster observation.

SystemPrompt Coding Agent is an open-source project that transforms a local workstation into an AI programming assistant that can be remotely controlled via the MCP protocol, supporting voice commands and mobile operations for off-site programming management.

The ZeroPath MCP Server is an open-source project that allows developers to query security findings such as SAST issues, secrets, and patches using natural language, and directly integrate them into AI-assisted tools. It simplifies the process of handling security issues, providing security context directly in the development environment without the need for manual dashboard or ticket management.

defold-mcp is an open-source Model Context Protocol (MCP) server designed to connect the Defold game engine with modern developer tools and AI-assisted workflows. It provides a set of automation tools for managing Defold projects, generating scripts and resources, debugging and analyzing projects, and supports integration with AI development tools such as Cursor.

Android-MCP is a lightweight open-source project that serves as a bridge between AI agents and Android devices. It enables real-world task operations such as app navigation, UI interaction, and automated testing through the MCP server, without relying on traditional computer vision or pre-set scripts.

Agent MCP is an open-source project directory focusing on AI agent and MCP orchestration, providing functions to browse and search AI agent repositories, and supporting user authentication and search history saving.

gbox is an open-source self-hosted sandbox project that provides a secure execution environment for AI agents, supports various tools such as terminals, browsers, and file operations, and is compatible with the MCP protocol.

MCP Jenkins is an open-source project that bridges Jenkins with AI language models, follows Anthropic's MCP specification, and supports secure and context-aware AI interactions.

This project is an open-source project that builds an MCP (Model Context Protocol) server from scratch using Python. It supports custom packet handling, context management, and basic model integration, aiming to achieve efficient server interaction and communication.

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.

Tavily MCP is an open-source project that enables AI systems to seamlessly connect to Tavily's search and data extraction tools through the Model Context Protocol (MCP) standard, providing AI assistants like Claude with the ability to access real-time web information. The project offers search, extraction, mapping, and crawling tools and supports multiple client configurations.

ZenFeed is an open-source project that uses AI technology to enhance the RSS reading experience, providing features such as personalized recommendations, real-time monitoring, and email alerts, aiming to solve the problem of information overload.

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.

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.