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MCP Hub Project

@CodeHalwell

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

CodeHalwell

关于 MCP Hub Project

Repo to hold the code for the mcp server built in Gradio for the agents and mcp hackathon

#gradio#mcp#research-assistant

MCP Hub Project 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "gradio-mcp-agent-hack": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

MCP Hub Project 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 Hub Project?

MCP Hub Project is a sophisticated research assistant built using Gradio’s MCP server functionality, orchestrating a 5-step deep research workflow. It demonstrates how to build interconnected AI agents that work together to provide deep research capabilities.

How to use MCP Hub Project?

Install Python 3.12+, set up a virtual environment, install dependencies with pip install -r requirements.txt, create a .env file with your Nebius and Tavily API keys, then run python main.py to launch the Gradio interface at http://127.0.0.1:7860/. The MCP schema is available at /gradio_api/mcp/schema.

Key features of MCP Hub Project

  • 5-step deep research workflow (enhancement, search, summarization, citation, combination)
  • Multi-agent architecture for interconnected agent services
  • Real-time web search via Tavily API
  • LLM processing using Nebius (OpenAI-compatible) models
  • Automatic APA-style citation generation from web sources
  • MCP server implementation built on Gradio

Use cases of MCP Hub Project

  • Automated research assistant that breaks down complex queries into structured sub‑questions
  • Generating comprehensive, citation‑aware summaries from multiple web searches
  • Learning how to build MCP‑compatible multi‑agent workflows with Gradio
  • Integrating real‑time search and LLM summarization in a single pipeline

常见问题

1

What APIs does MCP Hub Project require?

It requires API keys for Nebius and Tavily. Both must be set in a `.env` file.

2

What Python version is needed?

Python 3.12+ is required.

3

How do I start the MCP server?

Run `python main.py`. The Gradio app launches at `http://127.0.0.1:7860/` and the MCP schema is available at `/gradio_api/mcp/schema`.

4

What agents are included?

Five agents: Question Enhancer, Web Search Agent, LLM Processor, Citation Formatter, and an Orchestrator that coordinates the workflow.

5

Where can I find tutorial examples?

The `tutorial_scripts/` directory contains example Gradio applications such as `simple_app.py` and `letter_count.py` for learning MCP features.

评论

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