MCP Hub Project
@CodeHalwell
About MCP Hub Project
Repo to hold the code for the mcp server built in Gradio for the agents and mcp hackathon
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"gradio-mcp-agent-hack": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tools
No tools detected
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
FAQ from MCP Hub Project
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.
More AI & Agents MCP servers
Open Multi-Agent Canvas
CopilotKitThe open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research
Web Agent Protocol
OTA-Tech-AI🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
Model Context Protocol Server for Home Assistant
tevonsbA MCP server for Home Assistant
Just Prompt - A lightweight MCP server for LLM providers
dislerjust-prompt is an MCP server that provides a unified interface to top LLM providers (OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama)
Hass-MCP
voskaControl and query Home Assistant from Claude and other LLMs — a Model Context Protocol (MCP) server.
Comments