# AI Agent

An MCP server based on browser - use, enabling AI agents to control web browsers for automated operations.

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.

A Reddit interaction server specifically designed for AI agents, supporting content reading, creation, and sub - forum management, following the MCP protocol and integrating advanced functions such as rule compliance and intelligent replies.

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

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.

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.

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.

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 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 privateGPT MCP Server is a server implementation based on the Model Context Protocol (MCP), allowing users to seamlessly integrate with the privateGPT API through an MCP client to achieve functions such as chat, knowledge source management, and permission control.

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

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

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

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.

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 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.

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.

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.

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

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

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

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

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.

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.

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 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.

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.

The Brex MCP Server is a middleware that connects AI agents with the Brex financial platform, providing secure access interfaces for financial data such as accounts, expenses, and budgets, and supporting receipt management and expense query functions.