Gradio Client
This is a proof of concept repo on how to create a gradio UI using the Model Context Protocol Client Python SDK.
What is Gradio Client?
Gradio Client is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to this is a proof of concept repo on how to create a gradio ui using the model context protocol client python sdk.
This is a proof of concept repo on how to create a gradio UI using the Model Context Protocol Client Python SDK.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- This is a proof of concept repo on how to create a gradio UI
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-gradio-clientConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Gradio Client
The MCP Gradio Client is a proof-of-concept project that demonstrates how to build a Gradio web UI on top of the MCP Python Client SDK, allowing users to interact with any MCP server through a browser-based chat interface. It dynamically discovers tools from connected MCP servers and presents them through an OpenAI-powered chat experience, supporting both stdio and SSE MCP server types via a config.json file. Developers building or evaluating MCP servers can use it to quickly create a visual interface without writing custom UI code.
Prerequisites
- Python 3.12 or higher
- Node.js and npx (required for stdio-type MCP servers that launch via npx)
- An OpenAI API key for the language model powering the chat interface
- uvicorn installed (for STDIO server management)
- Git to clone the repository (no PyPI package available)
Clone the repository
Clone the mcp_gradio_client repository from GitHub and navigate into the project directory.
git clone https://github.com/justjoehere/mcp_gradio_client
cd mcp_gradio_clientCreate and activate a Python virtual environment
Set up an isolated Python 3.12+ environment to avoid conflicts with system packages.
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activateInstall Python dependencies
Install all required packages from the requirements.txt file.
pip install -r requirements.txtCreate the .env file with your OpenAI API key
Create a .env file in the project root and add your OpenAI API key. This key is used to power the chat interface.
# .env
OPENAI_API_KEY=sk-your-openai-api-key-hereConfigure your MCP servers in config.json
Edit config.json to specify which MCP servers the Gradio client should connect to. Supports stdio servers (auto-launched) and SSE servers (pre-running).
{
"servers": [
{
"type": "stdio",
"name": "filesystem",
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"]
},
{
"type": "sse",
"name": "my-sse-server",
"url": "http://127.0.0.1:3001/sse"
}
]
}Launch the Gradio interface
Run the main application file. The Gradio UI will start and be accessible in your browser at http://127.0.0.1:7860.
python gradio_ui.pyGradio Client Examples
Client configuration (config.json)
Example config.json connecting to a filesystem MCP server via stdio.
{
"servers": [
{
"type": "stdio",
"name": "filesystem",
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/Users/yourname/Documents"]
}
]
}Prompts to try
After launching the Gradio UI at http://127.0.0.1:7860, try these prompts in the chat interface depending on which MCP servers you have configured.
- "List all the files in the connected directory"
- "Read the contents of README.md"
- "What tools are available from the connected MCP server?"
- "Search for all Python files modified in the last week"
- "Connect to my SSE server and list its available tools"Troubleshooting Gradio Client
Python version error on startup
This project requires Python 3.12 or higher. Check your version with 'python --version'. If needed, install Python 3.12 via pyenv ('pyenv install 3.12.0') and recreate the virtual environment.
OpenAI API errors or authentication failures
Ensure the .env file is in the root of the project directory and contains OPENAI_API_KEY= with a valid key starting with 'sk-'. Make sure the virtual environment is activated before running python gradio_ui.py.
stdio MCP server fails to launch
Verify that npx and Node.js are installed and accessible from the virtual environment's shell. Test by running the npx command manually in your terminal. Also ensure uvicorn is installed ('pip install uvicorn').
Frequently Asked Questions about Gradio Client
What is Gradio Client?
Gradio Client is a Model Context Protocol (MCP) server that this is a proof of concept repo on how to create a gradio ui using the model context protocol client python sdk. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Gradio Client?
Follow the installation instructions on the Gradio Client GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Gradio Client?
Gradio Client works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Gradio Client free to use?
Yes, Gradio Client is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Gradio Client in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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