# AI Agent

SSB-MCP is an MCP server that provides a standardized interface for AI agents to conveniently access API data from Statistics Norway (SSB).

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.

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.

The BrianKnows MCP server is a protocol service that connects Claude to the blockchain knowledge base, providing functions such as API status detection, blockchain information search, and intelligent agent dialogue.

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

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.

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.

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

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.

Voicevox MCP Server is a text-to-speech server compatible with VOICEVOX, enabling interaction with AivisSpeech, VOICEVOX, and COEIROINK through the MCP protocol, and supporting text-to-speech in Claude 3.7 proxy mode in editors like Cursor.

Demonstrate how to use Pydantic AI and the MCP Server to create a web search agent

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.

Implementation of Novu's MCP server for AI agents to interact with the notification system

Hologres MCP Server is a general interface between AI agents and Hologres databases, supporting metadata queries and SQL operations.

The Ultimate MCP Server is a comprehensive native MCP system. As a complete AI agent operating system, it provides dozens of powerful functions through the Model Context Protocol (MCP), enabling advanced AI agents to access a rich ecosystem of tools, cognitive systems, and professional services.

The Snowflake Cortex AI MCP server provides tool capabilities such as Cortex Search, Cortex Analyst, and Cortex Agent for AI clients through the standard MCP protocol, supporting dynamic construction of agent requests and integration with Snowflake data services.

An HTTP server based on the MCP protocol, providing AGENTS.md knowledge management, structured task tracking, version history recording, and scratchpad functions, supporting multi - user collaboration and AI sub - agent calls.

DeFi Trading Agent MCP Server is a tool that transforms an AI assistant into an autonomous cryptocurrency trading agent, supporting real-time market analysis, portfolio management, and seamless trading execution across 17+ blockchains.

The AnySite MCP Server is a multi - platform network data collection tool based on the model context protocol, supporting platforms such as LinkedIn, Instagram, Reddit, and Twitter. It provides real - time, structured network data access capabilities for AI agents.

This project implements a full-stack AI agent system inspired by the model context protocol, including a React front-end and a FastAPI back-end. The back-end serves as an AI coordinator, using Google Gemini to parse natural language instructions, safely call the file system, browser, or GitHub tools to perform tasks, and return the structured results to the front-end. The system focuses on software development scenarios, providing secure sandbox file operations, real-time web browsing, and repository inspection functions, and visualizing the tool call process.

An extremely fast website cloning tool based on asynchronous Python, supporting JavaScript rendering, authentication bypass, and AI agent integration, providing a desktop GUI and command - line interface.

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.

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

Alibaba Cloud Wuying AgentBay is a cloud infrastructure designed for AI Agents, providing one - click configuration tools and an execution environment, supporting rapid integration and server - based operation.

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.

A WhatsApp MCP server based on TypeScript and the Baileys library that connects personal WhatsApp accounts to AI agents to enable functions such as message search and sending.

Azure MCP Hub is a platform that helps developers quickly build, run, or reuse Model Context Protocol (MCP) servers. It supports multiple programming languages and AI frameworks, enabling AI agents to call real APIs.