Calculator Mcp
About
Enables LLMs to perform basic calculations using a calculator interface.
Details
- Author
- wrtnlabs
- GitHub stars
- 16
- Downloads
- 362
- Categories
- Productivity, AI, Other
Jump to
- Provides arithmetic operations: add, sub, mul, div, mod.
- Runs as a standard MCP server via npx.
- Supports SSE transport with configurable port (--port).
- Works with VS Code and VS Code Insiders CLI.
- Includes programmatic API for custom transport integration.
- Lightweight test-oriented implementation for MCP connectivity.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Calculator McpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install and run using npx: npx @wrtnlabs/calculator-mcp@latest. Configure in MCP client settings with the command and args, or connect via SSE by specifying a port with --port and setting the client URL to http://localhost:<port>/sse. For VS Code, install via the CLI command code --add-mcp '{"name":"calculator","command":"npx","args":["-y", "@wrtnlabs/calculator-mcp@latest"]}'. Programmatic usage with custom transports is also supported using InMemoryTransport.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"calculator mcp": {
"calculator-mcp": {
"command": "npx",
"args": [
"@wrtnlabs/calculator-mcp@latest",
"--port",
"8931"
]
}
}
}
}
McpServers
{
"calculator-mcp": {
"command": "npx",
"args": [
"@wrtnlabs/calculator-mcp@latest",
"--port",
"8931"
]
}
}
A Model Context Protocol (MCP) server that provides browser automation capabilities using basic calculator feature. This server enables LLMs to interact with calculator. (I actually made it for a test program)
- The test code for to connect MCP feature.
- The toy projects
{ "mcpServers": { "calculate": { "command": "npx", "args": [ "-y", "@wrtnlabs/calculator-mcp@latest" ] } } }
Alternatively, you can install the Playwright MCP server using the VS Code CLI:
# For VS Code code --add-mcp '{"name":"calculator","command":"npx","args":["-y", "@wrtnlabs/calculator-mcp@latest"]}'
# For VS Code Insiders code-insiders --add-mcp '{"name":"calculator","command":"npx","args":["-y", "@wrtnlabs/calculator-mcp@latest"]}'
After installation, the Calculator MCP server will be available for use with your GitHub Copilot agent in VS Code.
The Calculator MCP server supports the following command-line options:
- --port <port>: Port to listen on for SSE transport
Running headed browser on Linux w/o DISPLAY
When running headed browser on system w/o display or from worker processes of the IDEs, run the MCP server from environment with the DISPLAY and pass the--portflag to enable SSE transport.
npx @wrtnlabs/calculator-mcp@latest --port 8931
And then in MCP client config, set theurlto the SSE endpoint:
{ "mcpServers": { "calculator": { "url": "http://localhost:8931/sse" } } }
Programmatic usage with custom transports
import { createServer } from "@wrtnlabs/calculator-mcp"; // ... other import statement const client = new Client({ name: "test client", version: "0.1.0", }); const server = createServer({ name: "calculator", version: "1.0.0" }); const [clientTransport, serverTransport] = InMemoryTransport.createLinkedPair(); await Promise.all([ client.connect(clientTransport), server.connect(serverTransport), ]);
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