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MCP Hub Project

@CodeHalwell

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

CodeHalwell

About 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 config

Add this server to your MCP-compatible client using the configuration below.

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

MCP Hub Project tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

Comments

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