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MCP Calculator

by devantage
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Python
Hybrid

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MCP Calculator

A modern Model Context Protocol server for mathematical calculations. Exposes 13 tools (6 core + 7 specialized) with high-precision arithmetic, a safe expression evaluator, statistics, unit conversion, and financial math.

Requirements

  • Python 3.10+

  • uv (or Docker, for the containerized setup)

Related MCP server: Symath-MCP

Installation

uv venv

uv pip install -e ".[dev]"

Running

The server supports two transports, selected via the MCP_TRANSPORT environment variable (see Configuration).

STDIO

The server speaks MCP over stdio by default (the transport used by most MCP clients such as Claude Desktop and Claude Code):

source .venv/bin/activate

mcp-calculator

Streamable HTTP

To serve over streamable HTTP instead:

source .venv/bin/activate

MCP_TRANSPORT=http mcp-calculator

The HTTP endpoint is then available at http://0.0.0.0:8080/mcp/.

Docker

Build the image and run it in HTTP mode (the image defaults to HTTP on port 8080):

docker build -t mcp-calculator .

docker run --rm -p 8080:8080 mcp-calculator

Override any setting at runtime with -e, e.g. a different port:

docker run --rm -p 9000:9000 -e MCP_PORT=9000 mcp-calculator

Configuration

Variable

Default

Description

MCP_TRANSPORT

stdio

Transport to use: stdio or http (streamable HTTP).

MCP_HOST

0.0.0.0

Host/interface to bind when using HTTP. Use 0.0.0.0 to expose it.

MCP_PORT

8080

Port to listen on when using HTTP.

Available Tools

Core

Tool

Description

basic_math

add / subtract / multiply / divide with decimal precision (0-15)

advanced_math

trig, inverse trig, log/ln, sqrt, abs, factorial, exp, pow

expression_eval

evaluate expressions with variables, constants, and functions

statistics_analysis

mean, median, mode, std_dev, variance, percentile, range, skewness, kurtosis, summary

unit_conversion

length, weight, temperature, volume, area

financial_calc

simple/compound interest, loan payment, ROI, present/future value

Specialized

Tool

Description

stats_summary

full statistical overview of a dataset

percentile

a specific percentile (0-100) of a dataset

batch_conversion

convert many values between units at once

npv

Net Present Value of cash flows

irr

Internal Rate of Return (Newton-Raphson)

loan_comparison

compare loans, return the lowest monthly payment

investment_scenarios

compare investments, return the highest return

Development

Testing

Run the test suite with:

pytest

License

MIT

Install Server
A
license - permissive license
B
quality
B
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
1Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Tools

View all tools

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