# Intelligent agent

Intelligent agent system integrating custom MCP protocol and ChatGPT AI template, supporting Gmail and GitHub interaction

DigitalFate is an enterprise-level framework for efficiently coordinating LLM calls, intelligent agents, and computer tasks, providing scalable production environment deployment, task-oriented architecture, and multi-client processing capabilities.

This project demonstrates how to use the MCP protocol to connect multiple servers with different transport methods (stdio and SSE), including mathematical calculation and weather query functions, and integrates with LangChain to create intelligent agents.

A configurable MCP server SSH client with an intelligent security agent function that can detect and block the execution of unsafe commands in SSH connections.

An intelligent task management system based on the MCP protocol, providing an efficient programming workflow framework for AI agents, with functions such as task planning, decomposition, execution, and memory.

This project demonstrates how to combine the local Ollama model with the Pydantic proxy framework to create intelligent agents and use tools through the MCP server, while providing a Streamlit user interface.

Claude code editing and execution service implemented based on the MCP protocol

Steel MCP Server is a Model Context Protocol (MCP) server based on Puppeteer and Steel, enabling LLMs such as Claude to perform web page navigation and interaction through browser automation tools.

This project creates or utilizes multiple MCP servers to integrate with the intelligent agent framework and Microsoft Copilot Studio.

A simple agent program that uses the OpenAI Agents library to interact with the MCP server, supporting functions such as calculating the sum of numbers or telling jokes.

A client project based on Python 3.13 that integrates MCP services and the GPT-4 model, providing interactive tool invocation and network search functionality.

An AI software architect server based on the MCP protocol that can analyze codebases to generate product requirement documents (PRDs) and provide reasoning assistance for complex coding tasks. It uses a multi-model architecture and intelligent agent design.

RAG project based on MCP server