# AI Agent

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

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.

AutoGPT is an open - source AI agent framework designed to enable everyone to easily build and use AI agents. The project provides the Forge toolchain to simplify the development process, including benchmark testing, user interface, and CLI tools. It supports compatibility through the Agent Protocol standard and has an arena leaderboard to encourage developers to optimize agent performance.

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.

GenPilot is a tool that simplifies the creation and management of single/multi - agent systems for generative AI. It supports the MCP protocol and provides terminal and web interfaces for rapid development and deployment.

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

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 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.

The Brex MCP Server is a bridge connecting AI agents with the Brex financial platform, providing functions for financial data interaction.

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.

A demonstration project for testing the creation of a simple MCP server and its integration with a LangChain agent

Octagon MCP is a market data model context protocol server that integrates the Octagon market intelligence API, providing AI agent services for public market data, private market data, and deep research.

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

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.

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.

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

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 MCP server that provides WHOIS query services

This project provides two MCP server implementations that connect Claude Desktop to Azure search capabilities, supporting searches for document and web content through the Azure AI Agent Service (recommended) or direct Azure AI Search integration.

BenBox is an AI agent system based on the SSE-based MCP protocol, including a mobile Angular application, supporting image recognition and cloud deployment.

MCP - AWS is an AI - based application that manages AWS EC2 instances through OpenAI agents and the MCP server, supporting natural language commands to create and terminate instances.

This project provides two implementations of the MCP server, connecting Claude Desktop with Azure search capabilities and supporting document and web content search through Azure AI agent service (recommended) or direct Azure AI Search integration.

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.

The first open-source MCP server that enables full-featured AI control of a remote macOS system without the need to install additional software, providing complete desktop operation capabilities.

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.

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

This project implements the integration of the TypeScript MCP proxy with Ollama. Through a unified interface, AI models can call multiple tools, supporting functions such as file operations and web searches.

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.

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

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