MCP Server Examples with AutoGen

@SaM-92

代码仓库

基本信息

分类

推理

传输方式

stdio

作者

SaM-92

关于 MCP Server Examples with AutoGen

This repository demonstrates how to use AutoGen to integrate local and remote MCP (Model Context Protocol) servers. It showcases a local math tool (math_server.py) using Stdio and a remote Apify tool (RAG Web Browser Actor) via SSE for tasks like arithmetic and web browsing.

#mathgpt #math-solver #math-assistant

MCP Server Examples with AutoGen 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp_autogen_sse_stdio": {
      "command": "uv",
      "args": [
        "venv",
        "--python",
        "3.12"
      ]
    }
  }
}

MCP Server Examples with AutoGen 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 🤖 MCP Server Examples with AutoGen?

This repository demonstrates how to connect AI agents to tools using the Model Context Protocol (MCP) within the AutoGen framework. It shows integration with both a local tool server (Stdio transport) and a remote tool server (SSE transport) to solve real queries.

How to use 🤖 MCP Server Examples with AutoGen?

Set up a Python 3.12 virtual environment with uv, install dependencies via uv pip install -e ., and create a .env file with your OPENAI_API_KEY and APIFY_API_KEY. Run the demo from the parent directory using uv run mcp_autogen_sse_stdio/main.py.

Key features of 🤖 MCP Server Examples with AutoGen

Dual MCP integration: local (Stdio) and remote (SSE) transports
Local calculator tool (add, multiply)
Remote web browsing via Apify’s RAG Web Browser Actor
AutoGen AssistantAgent configured with both tool sets
Standardized communication between AI models and tools

Use cases of 🤖 MCP Server Examples with AutoGen

Solving arithmetic problems using local Python scripts
Summarizing live web news through remote browsing tools
Prototyping multi‑tool AI agents that combine local and cloud resources
Learning how to integrate MCP servers with AutoGen agents

常见问题

What MCP transports are demonstrated?

Local tools use StdioServerParams (standard input/output), and remote tools use SseServerParams (Server‑Sent Events).

What runtime requirements are needed?

Python 3.12, the `uv` package manager, and API keys for OpenAI and Apify.

How do I obtain and configure API keys?

Create a `.env` file in the `mcp_autogen_sse_stdio` directory and add `OPENAI_API_KEY` and `APIFY_API_KEY`. The Apify key can be obtained from the Apify MCP Server page.

Does this project work with other MCP servers?

The framework generalizes to other MCP servers that support Stdio or SSE transports, though only the Apify remote server is shown.

Is there a visual walkthrough available?

Yes, the repository includes an animated GIF (`images/mcp_exmpl.gif`) illustrating the workflow.

推理分类下的更多 MCP 服务器

Proplan Mcp

King-Proplan

MCP server that gives Claude persistent project memory — roadmap, session history, and codebase context. Type continue and Claude picks up exactly where you left off

n8n Workflow Builder MCP

ifmelate

MCP server that allow LLM in agent mode builds n8n workflows for you

Sandbox Mcp

pottekkat

A Model Context Protocol (MCP) server that enables LLMs to run ANY code safely in isolated Docker containers.

118

Deno Sandbox MCP Server

bewt85

An MCP server that allows you to run TypeScript, JavaScript, and Python code in a sandbox on your local machine using the Deno® sandbox. This server provides a controlled environment for executing code with explicit permission controls.

Emergency Medicare Management MCP Server

manolaz

emergency-medicare-planner-mcp-server