🧑🚀 全世界最好的LLM资料总结（Agent框架、辅助编程、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.
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AI-experiments-1
2025-04-14
MCP client using python
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MCP Client Web App
A simple Python web application using FastAPI to connect to an MCP server, display status, and list available tools.
Requirements
- Python 3.13 or higher
- A virtual environment (recommended)
- MCP client dependencies (see requirements.txt)
Installation
- Create and activate a virtual environment:
python3 -m venv .venv
source .venv/bin/activate
- Install dependencies:
pip install -r requirements.txt
Running the App
Start the FastAPI server using Uvicorn:
uvicorn app:app --reload
Open your browser and navigate to http://127.0.0.1:8000
Usage
- In the web interface, enter the MCP server JSON block (e.g., Puppeteer):
{"Puppeteer": {"command": "npx", "args": ["-y", "@modelcontextprotocol/server-puppeteer"]}}
- Click Connect.
- View the connection status and the list of available tools supported by the server.
Refer to the Model Context Protocol Quickstart and FAQs for more information.
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Reviews
5
(2)
user_YYjSi6Hs
2025-04-24
AI-experiments-1 is a highly engaging and innovative application created by jol333. It offers a unique set of AI-driven experiments that showcase the power and versatility of modern AI technology. The user-friendly interface and detailed welcome information make it easy to explore and understand each experiment. As a loyal MCP user, I found it to be a valuable addition to the range of AI tools available. Highly recommended!
user_NshJv7o7
2025-04-24
As an avid MCP app user, the AI-experiments-1 by jol333 is an excellent and innovative tool. It provides a seamless experience for conducting AI experiments with ease. Highly recommend it for all enthusiasts and professionals looking to push the boundaries of AI.