What is MCP?
Model Context Protocol (MCP) is a protocol that enables LLMs to access custom tools and services. An MCP client can make requests to MCP servers to access tools they provide.
@simonberner
Basic information
Example project showing how to build a simple MCP Server (and having it on Smithery!)
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-calculator-simonberner": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@simonberner/mcp-server-calculator",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
This is a simple example MCP server that provides basic math operations (addition, subtraction, multiplication, division) to an MCP client. It demonstrates how to build an MCP server from scratch using Python and the MCP SDK, intended for developers learning the Model Context Protocol.
Install automatically via Smithery (npx -y @smithery/cli install @simonberner/mcp-server-calculator --client claude), or set up the development environment using Nix/direnv or manually with uv. Run locally with mcp dev src/mcp_server_calculator/calculator.py and test using MCP Inspector. Integrate with an MCP host by adding the server configuration to the host's mcp config file (e.g., for Claude Desktop).
Model Context Protocol (MCP) is a protocol that enables LLMs to access custom tools and services. An MCP client can make requests to MCP servers to access tools they provide.
You can install it via Smithery, use the Nix development environment with direnv, or set it up manually with `uv`. For hosts like Claude Desktop, add the server configuration to your mcp config.
Python 3, the MCP SDK, the MCP CLI, and pytest. Optionally Nix (or Lix) for a reproducible environment.
Run `mcp dev src/mcp_server_calculator/calculator.py` and open MCP Inspector at http://localhost:5173 to test the server via a GUI.
The server is stateless; all math operations are computed in memory and no data is persisted.
The server runs as a Python script over stdio, configured locally in the MCP host’s configuration file. It is not a remote server.

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