# AI Agent

A conversational AI agent based on the MCP protocol, Express.js, and the Gemini API, supporting automated Twitter posting and dynamic interactions.

The PostgreSQL MCP Server is an implementation based on the Model Context Protocol (MCP), which allows AI agents to interact with PostgreSQL databases through standardized interfaces.

A universal file viewer MCP server that provides read access to any folder in the file system for MCP clients, facilitating AI agents to access multiple repositories or other files.

The Telegram MCP Server is a server that interacts with the Telegram API through the Model Context Protocol (MCP), allowing AI agents and other MCP clients to operate Telegram features.

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.

The MCP Agent Server is a hub platform that connects AI clients with intelligent agents, supporting the creation of multi - specialized agents, combined agent workflows, and the integration of various AI tools and services.

The Superset MCP Integration project enables AI agents to interact with Apache Superset, connecting and controlling Superset instances programmatically.

This project is a simplified implementation based on the MemGPT research paper, built using Spring Boot and Spring AI, providing two integration methods: REST services and MCP servers, and including core agent functions and chatbot applications.

gbox is an open - source self - hosted sandbox project that provides a secure environment for MCP integration and other AI agent use cases. It includes tools such as a terminal, browser, and file editor, supports local task execution and file processing, and provides Python and Typescript SDKs.

An MCP server based on the crawl4ai library, providing web page crawling and intelligent content extraction functions, supporting AI agents to interact with web pages through natural language instructions.

Wuying AgentBay is a cloud infrastructure designed by Alibaba Cloud for AI Agents, providing a one-click configuration tool and an execution environment, supporting fast integration and serverless cloud operation.

Graphiti MCP Server is an enhanced knowledge graph framework specifically designed for AI agents to build and query time - aware knowledge graphs in dynamic environments. It exposes core functions through the MCP protocol, supports continuous integration of user interactions, enterprise data, and external information, and provides capabilities for incremental updates, efficient retrieval, and precise historical queries.

Skills MCP is a server that extends the Claude Skills format to any AI agent supporting the MCP protocol, enabling general AI agents to quickly become domain experts through modular skills.

Filesys is a file system server based on the MCP protocol that allows LLM agents to conveniently read, write, and list local files via Python.

A lightweight MCP server that enables AI agents or MCP - compatible assistants to initiate and verify PID (Personal Identity Data) credential presentations through the OIDC4VP protocol, suitable for secure, QR - code - based wallet interactions.

PyMCPAutoGUI is a tool that provides graphical user interface (GUI) automation capabilities for AI agents through the MCP protocol. It supports mouse and keyboard control, screenshot, window management, etc., and can be seamlessly integrated into MCP-compatible environments such as the Cursor editor.

A Vercel AI SDK documentation query proxy service based on the MCP protocol, providing AI-driven document search and Q&A functions, and supporting integration with MCP clients such as Claude Desktop.

Skynet - MCP is a hierarchical AI agent network project based on the Model Context Protocol (MCP), supporting the creation of sub - agents to process complex tasks in parallel, integrating multiple AI models and service tools, and providing functions such as dual - mode operation, tool discovery, and asynchronous execution.

An MCP system implementation based on C++, including host, client, and server components, supporting interaction with LLM through the command line and calling various tool services.

The MCP Gateway is an advanced AI infrastructure middleware solution that acts as a proxy gateway for model context protocol (MCP) servers, providing unified interfaces, sensitive information filtering, and lifecycle management functions.

A browser automation service based on the MCP protocol, supporting natural language control of browser operations

An MCP server that provides WHOIS query services

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), providing dozens of powerful tool capabilities, including intelligent task delegation, document processing, browser automation, Excel operations, etc. It achieves cognitive enhancement and complex task orchestration of AI agents through standardized MCP tools.

This is a Python project based on the SSE implementation of the MCP protocol, including server and client components. It invokes LLM services through the OpenRouter.ai platform and provides book search functionality.

This project demonstrates how to run n8n workflows in a local Docker environment, integrate an AI agent with external tools (such as web search) through the Model Context Protocol (MCP), and use npx to dynamically start the MCP service to achieve dynamic discovery and use of tools.

Integration of Spring Boot applications with the Goose AI agent to expand AI capabilities through the MCP protocol

automcp is a tool that can convert existing AI agent frameworks (such as CrewAI and LangGraph) into MCP protocol servers, enabling standardized interface access. It supports rapid deployment, multi - framework adaptation, and provides two transmission modes: SSE and STDIO.

The Port MCP Server is a Model Context Protocol server for the Port.io developer platform, enabling Claude to interact with Port.io platform functions, including triggering AI agents and obtaining blueprints.

A lightweight MCP server based on Python that interacts with local ComfyUI via WebSocket to enable programmatic image generation by AI agents.

Install MCP is a tool that simplifies the installation and management of MCP servers through an AI agent. It supports one - click installation, centralized configuration, and secure key management, and is compatible with multiple development environments.