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MCP Hub Project

@CodeHalwell

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

CodeHalwell

MCP Hub Project について

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 の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

MCP Hub Project のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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.

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