mcp-calculator

mcp-calculator

An MCP server that integrates the MathJS library to provide AI models with advanced calculation capabilities, including support for complex numbers, matrices, and unit conversions. It supports both stdio and HTTP transports for seamless integration with clients like Claude Desktop and GitHub Copilot.

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mcp-calculator

An MCP server that wraps MathJS to give AI models a powerful calculate tool.
Supports stdio (Claude Desktop) and HTTP Streamable transports.


Installation

npm install
npm run build

Usage

Stdio mode (default)

node dist/index.js

HTTP mode

# default port 3000
node dist/index.js --http

# custom port
PORT=8080 node dist/index.js --http

# via environment variable
TRANSPORT=http node dist/index.js

Expression examples

Category Expression Result
Arithmetic 2 + 3 * 4 14
Fractions 1/3 + 1/6 0.5
Powers 2^10 1024
Trigonometry sin(pi / 4) 0.70710678118655
Inverse trig acos(0) 1.5707963267949
Logarithm log(1000, 10) 3
Complex numbers (2 + 3i) * (1 - 2i) 8 - i
Statistics mean(1, 2, 3, 4, 5) 3
Matrix determinant det([1, 2; 3, 4]) -2
Matrix multiply [1,2;3,4] * [5;6] [[17],[39]]
Unit conversion 2 km to mile 1.2427423844747 mile
Constants e ^ (i * pi) + 1 2.8327021... × 10^-15 + 0i0

Docker

Pull and run the pre-built image from Docker Hub:

# stdio mode (pipe JSON-RPC over stdin/stdout)
docker run --rm -i bangbang93/mcp-calculator node dist/index.js

# HTTP mode on port 3000
docker run --rm -p 3000:3000 bangbang93/mcp-calculator

# custom port
docker run --rm -p 8080:8080 -e PORT=8080 bangbang93/mcp-calculator

Build locally:

docker build -t mcp-calculator .
docker run --rm -p 3000:3000 mcp-calculator

HTTP mode — usage examples

Once the server is running in HTTP mode (node dist/index.js --http), send JSON-RPC 2.0 requests with curl:

# Initialize a session
curl -X POST http://localhost:3000/ \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"curl","version":"1.0"}}}'

# Call the calculate tool
curl -X POST http://localhost:3000/ \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"calculate","arguments":{"expression":"sin(pi/4)"}}}'

Claude Desktop configuration

Add the following to your Claude Desktop claude_desktop_config.json:

{
  "mcpServers": {
    "calculator": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-calculator/dist/index.js"]
    }
  }
}

Replace /absolute/path/to/mcp-calculator with the actual path where you cloned this repository.

Alternatively, use the Docker image so no local build is required:

{
  "mcpServers": {
    "calculator": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "bangbang93/mcp-calculator", "node", "dist/index.js"]
    }
  }
}

GitHub Copilot CLI

Add the server to your GitHub Copilot CLI MCP configuration (~/.config/github-copilot/mcp.json on Linux/macOS, %APPDATA%\GitHub Copilot\mcp.json on Windows):

{
  "mcpServers": {
    "calculator": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-calculator/dist/index.js"]
    }
  }
}

Or with Docker:

{
  "mcpServers": {
    "calculator": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "bangbang93/mcp-calculator", "node", "dist/index.js"]
    }
  }
}

After saving the config, the calculate tool is available to Copilot in any chat or inline suggestion session. You can also test it directly with gh copilot suggest:

$ gh copilot suggest "calculate sin(pi/4) using the calculator tool"

opencode

Add the server to your opencode configuration (~/.config/opencode/config.json):

{
  "mcp": {
    "calculator": {
      "type": "local",
      "command": ["node", "/absolute/path/to/mcp-calculator/dist/index.js"]
    }
  }
}

Or HTTP mode (start the server first with node dist/index.js --http):

{
  "mcp": {
    "calculator": {
      "type": "remote",
      "url": "http://localhost:3000"
    }
  }
}

Development

# Run TypeScript directly (no build step)
npm run dev

# HTTP mode during development
npm run dev:http

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