MCP Hub Project

Name: MCP Hub Project
Author: CodeHalwell

@CodeHalwell

代码仓库

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

基本信息

分类

AI 与智能体

运行时

python

传输方式

stdio

发布者

CodeHalwell

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"
      ]
    }
  }
}

工具

未检测到工具

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