# AI Agent

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 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.

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.

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

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 Graphiti MCP Server is a multi - project knowledge graph server extension based on the official getzep/graphiti. It supports multi - server single - database configuration, provides a developer - friendly CLI tool, and can build temporary knowledge graphs for each project for AI agents to query through the model context protocol.

This project provides two implementations of the MCP server, connecting Claude Desktop with Azure search capabilities, supporting document search and web search. You can choose to use the Azure AI Agent service or directly integrate Azure AI Search.

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

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

DigitalFate is an enterprise-level LLM task orchestration framework that supports multi-level task processing, tool integration, and computer operations.

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.

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.

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

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.

ACI.dev is an open-source AI agent tool infrastructure that provides multi-tenant authentication, permission management, and dynamic discovery functions for over 600 pre-integrated tools. It supports calls through a unified MCP Server or a lightweight SDK, simplifying the development of production-level AI agents.

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

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

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

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

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.

The privateGPT MCP Server is a server implementation based on the Model Context Protocol (MCP), allowing users to integrate privateGPT as an agent with MCP clients, providing a secure and modular AI application development environment.

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

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.

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

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.