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githejie/mcp-server-calculator

by Various

A Model Context Protocol server for calculating.

G

MCP

githejie/mcp-server-calculator

Added 1 June 2026

Overview

A Model Context Protocol server that exposes calculator functionality as a tool for AI agents. It wraps basic arithmetic operations into a standardized MCP interface, allowing LLMs to perform calculations by calling the server.

Best for

Best for
Developers building MCP-based agents that need deterministic arithmetic without relying on LLM math

Use cases

  • Enabling an LLM to compute precise arithmetic results during a conversation
  • Integrating a reliable calculator into an MCP-compatible agent workflow
  • Offloading numerical computation from an LLM to a deterministic Python backend

How to use

Install

pip install mcp-server-calculator

Tools exposed

  • calculate

Example client config

{\n  "mcpServers": {\n    "calculator": {\n      "command": "uvx",\n      "args": ["mcp-server-calculator"]\n    }\n  }\n}

Notes

A Model Context Protocol server that exposes calculator functionality as a tool for AI agents. It wraps basic arithmetic operations into a standardized MCP interface, allowing LLMs to perform calculations by calling the server.

148 stars on GitHub. Last updated 2025-05-10. Licensed MIT.

Use cases

  • Enabling an LLM to compute precise arithmetic results during a conversation
  • Integrating a reliable calculator into an MCP-compatible agent workflow
  • Offloading numerical computation from an LLM to a deterministic Python backend

Pros

  • Simple, focused tool with a clear single purpose
  • Leverages MCP for standardized agent integration
  • Lightweight Python implementation with 148 GitHub stars

Cons

  • Limited to basic arithmetic with no advanced math functions
  • Requires an MCP-compatible host to be useful
  • No built-in error handling for edge cases like division by zero

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Simple, focused tool with a clear single purpose
  • Leverages MCP for standardized agent integration
  • Lightweight Python implementation with 148 GitHub stars

Cons

  • Limited to basic arithmetic with no advanced math functions
  • Requires an MCP-compatible host to be useful
  • No built-in error handling for edge cases like division by zero

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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