# AI Agent

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.

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

Email MCP is a simple Model Context Protocol server that adds email capabilities to AI agents, supports POP3 and SMTP protocols, and provides functions for sending, receiving, and managing emails.

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.

Signal MCP is an integration tool based on signal - cli that enables AI agents to send and receive messages through Signal.

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 personal learning project that builds a small AI agent by integrating the X API with the MCP server to explore backend integration and AI workflows, with an emphasis on security and ethical practices.

ChainGPT MCP is a Model Context Protocol server that can integrate ChainGPT features into AI agents and provide information query services such as cryptocurrency news, prices, and market trends.

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.

The Chatvolt MCP Server is a TypeScript-based application designed to extend the capabilities of AI agents by providing a set of tools to enable them to interact with the Chatvolt platform. This project serves as a bridge between AI models and the Chatvolt API, supporting operations such as managing agents, querying data storage, and handling CRM scenarios, thereby automating complex workflows and providing a natural language interface for the Chatvolt platform.

An MCP server that provides WHOIS query services

A server that implements the Model Context Protocol (MCP), providing access to Exa.ai's search functionality and enabling AI agents to perform web searches through a standardized protocol.

A server that implements the Model Context Protocol (MCP) for interacting with Dust AI agents, supporting real-time streaming responses and various integration methods.

Redis MCP Server is a natural language interface service designed for Redis, supporting AI agents to query and manage Redis data through natural language, integrating the MCP protocol, and providing multiple data structures and search functions.

This project demonstrates how to use the MCP protocol to interact with OpenAI, Azure OpenAI, and GitHub models in Azure container applications. It provides a simple terminal application demonstration to interact with the to - do item agent through the toolset provided by the MCP server.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), offering dozens of powerful tool capabilities, including cognitive enhancement, tool usage, and intelligent orchestration. The system exposes functions through standardized MCP tools, enabling advanced AI agents to access a rich tool ecosystem and specialized services while optimizing costs, performance, and quality.

CereBro.Unity is a model-agnostic AI agent wrapper based on CereBro, supporting the Model Context Protocol (MCP), allowing developers to write tools that can be used across AI models.

MCP Server DevOps Bridge is a bridge project connecting DevOps tools and AI assistants, providing a unified natural language interface, supporting cross - platform integration and autonomous agent workflows, including the integration of platforms such as Azure DevOps, GitHub, and Slack, as well as an intelligent memory system.

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.

The Bazel MCP Server is a local service that provides AI agents supporting the MCP protocol with access to the functions of the Bazel build system. It solves the problem that Bazel cannot be used in the MCP environment due to the lack of command-line tools or incorrect environment configuration. It provides core functions such as building, querying, and testing, and supports dynamically setting the workspace path.

The MCP Toolkit is a modular server implementation for building high-precision vertical AI agents, providing support for 123 tools, significantly reducing the amount of code, and simplifying complex workflows.

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

An MCP server implemented for the RAG Web Browser Actor, supporting AI agents to perform web searches and content extraction.

An MCP server integrated with Apache Kafka, providing message publishing and consumption functions for LLM and agent applications

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.

A multi - MCP server and client project integrating LangGraph pre - built ReAct agents, supporting multiple AI service APIs

AnalyticDB PostgreSQL MCP Server is a universal interface service that connects AI agents with AnalyticDB PostgreSQL databases, supporting metadata queries and SQL operation execution.

An AI agent and task management server based on the CrewAI framework, providing functions such as agent creation, task assignment, and workflow execution.