dev_mahfuj80_mcp_client
by dev-mahfuj80MCP client implementation
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MCP CLIENT using python sdk.
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| .gitignore | | .gitignore | updated | Mar 20, 2025 |
| README.md | | README.md | Updated the code and added server | Mar 19, 2025 |
| pyproject.toml | | pyproject.toml | Updated the code and added server | Mar 19, 2025 |
| requirements.txt | | requirements.txt | it works not poperly | Mar 20, 2025 |
| uv.lock | | uv.lock | Updated the code and added server | Mar 19, 2025 |
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MCP Client Example ☀️
This project demonstrates a simple client-server implementation using the Model Context Protocol (MCP), which is a standardized way to connect large language models with tools and data.
Overview
This example shows how to:
- Create an MCP server with custom tools
- Connect to the server using an MCP client
- Call tools and get responses from the server
Tutorial Video
Click the image above to watch a tutorial on MCP implementation.
Project Structure
.
├── pyproject.toml
├── README.md
├── src
│ ├── client
│ │ └── mcp_client.py # MCP client implementation
│ └── server
│ └── example_server.py # MCP server with tools
└── uv.lock
Server Implementation
The server exposes two tools:
calculate_bmi- A simple calculator that computes Body Mass Indexfetch_weather- An async tool that retrieves weather data from an external API
Client Implementation
The client connects to the server via stdio, initializes a session, and calls the server's tools.
Getting Started
Prerequisites
- Python 3.9+
- uv (Python package manager)
Installation
# Install dependencies
uv install -e .
Running the Example
- Start the client (which will automatically start the server):
uv run src/client/mcp_client.py
Usage
The client will:
- Connect to the server
- List available tools
- Call the BMI calculator with sample data
- Call the weather tool with sample coordinates
Example Response
Available tools: meta=None nextCursor=None tools=[...]
BMI calculation result: 22.857142857142858
Weather data: {"current_weather":{"temperature":14.2,"windspeed":12.6, ...}}
Test with MCP Inspector
( run command below and then visit http://localhost:5173
)
❯ mcp dev src/server/example_server.py
Starting MCP inspector...
Proxy server listening on port 3000
🔍 MCP Inspector is up and running at http://localhost:5173 🚀
New SSE connection
Query parameters: {
transportType: 'stdio',
command: 'uv',
args: 'run --with mcp mcp run src/server/example_server.py',
Resources
This project uses:
License
This project is licensed under the MIT License - see the LICENSE file for details.
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