MCP Hub Project

@CodeHalwell

Repository

Basic information

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

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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

What APIs does MCP Hub Project require?

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

What Python version is needed?

Python 3.12+ is required.

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`.

What agents are included?

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

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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