Simple MCP
A simple demonstration of the Model Context Protocol (MCP) implementation.
Overview
This project provides a minimal example of creating an MCP server with a simple mathematical operation. It demonstrates how to set up and use the MCP protocol for extending AI assistant capabilities.
Installation
pip install simple-mcp
Usage
After installation, you can use the simple-mcp command:
simple-mcp
To use as an MCP server with compatible AI assistants:
from simple_mcp.simple_mcp import mcp
# Start the MCP server
mcp.run()
Features
- Simple addition function exposed as an MCP tool
- Easy to extend with your own tools
Requirements
- Python 3.13+
- mcp[cli] >= 1.9.2
License
Metadata
Release files for simple-mcp 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| simple_mcp-0.1.1.tar.gz | 26.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| simple_mcp-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 29.1 kB
Release files / simple_mcp-0.1.1.tar.gz
| Download URL | simple_mcp-0.1.1.tar.gz |
|---|---|
| Size | 26.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
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Release files / simple_mcp-0.1.1-py3-none-any.whl
| Download URL | simple_mcp-0.1.1-py3-none-any.whl |
|---|---|
| Size | 3.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
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