METADATA•4.56 kB
Metadata-Version: 2.4
Name: mcp-server
Version: 0.1.4
Summary: A custom MCP server that provides useful tools and resources for AI assistants
Author-email: AjinkyaSambare <ajinkya@idealabs.fyi>
Requires-Python: >=3.10
Requires-Dist: mcp>=1.6.0
Description-Content-Type: text/markdown
```markdown
# Math Calculator MCP Server
A custom MCP server that provides mathematical calculation tools and resources for AI assistants.
## Components
### Tools
The server provides basic and advanced mathematical operations:
- **add**: Add two numbers together
- **subtract**: Subtract the second number from the first
- **multiply**: Multiply two numbers together
- **divide**: Divide the first number by the second
- **calculate_percentage**: Calculate a percentage of a value
- **power**: Raise a number to a specified power
- **square_root**: Calculate the square root of a number
### Resources
The server provides reference formulas as resources:
- **formula://area**: Common formulas for calculating area of different shapes
- **formula://volume**: Common formulas for calculating volume of different 3D shapes
- **formula://trigonometry**: Common trigonometric formulas and identities
### Prompts
The server includes templates for solving mathematics problems:
- **solve_math_problem**: Template for solving math word problems step by step
- **formula_application**: Template for applying a specific formula to solve a problem
## Configuration
### Environment Variables
This server doesn't require any specific environment variables.
## Quickstart
### Install
#### Claude Desktop
On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`
<details>
<summary>Development/Unpublished Servers Configuration</summary>
```json
"mcpServers": {
"mcp-server": {
"command": "uv",
"args": [
"--directory",
"/Users/Ajinkya25/Documents/Idea-Labs/MCP/mcp-server",
"run",
"mcp-server"
]
}
}
```
</details>
<details>
<summary>Published Servers Configuration</summary>
```json
"mcpServers": {
"mcp-server": {
"command": "uvx",
"args": [
"mcp-server"
]
}
}
```
</details>
## Development
### Testing Locally
To test the server locally:
```bash
# Activate the virtual environment (if not already activated)
source .venv/bin/activate # On macOS/Linux
# Test the server in development mode
mcp dev -m mcp_server.server
```
### Building and Publishing
To prepare the package for distribution:
1. Sync dependencies and update lockfile:
```bash
uv sync
```
2. Build package distributions:
```bash
uv build
```
This will create source and wheel distributions in the `dist/` directory.
3. Publish to PyPI:
```bash
uv publish
```
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token: `--token` or `UV_PUBLISH_TOKEN`
- Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`
### Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).
You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:
```bash
npx @modelcontextprotocol/inspector uv --directory /Users/Ajinkya25/Documents/Idea-Labs/MCP/mcp-server run mcp-server
```
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
## License
MIT
```
## Testing Your MCP Server
Now let's make sure your MCP server works properly:
1. Save the updated code to `src/mcp_server/server.py`
2. Save the updated README.md
3. Test your server using:
```bash
mcp dev -m mcp_server.server
```
This should open the MCP Inspector in your browser where you can try out your math tools.
## Publishing to PyPI
Once you've tested your server and confirmed it works, you can publish it to PyPI:
1. Make sure you have a PyPI account (register at https://pypi.org/account/register/ if needed)
2. Build your package:
```bash
uv build
```
3. Publish to PyPI:
```bash
uv publish --token YOUR_PYPI_TOKEN
```
Or if you prefer to use username/password:
```bash
uv publish --username YOUR_USERNAME --password YOUR_PASSWORD
```
After publishing, anyone can install your MCP server using:
```bash
pip install mcp-server
```
And then use it with Claude Desktop by configuring their claude_desktop_config.json as shown in the README.