TL;DR
Math MCP by Ethan Henrickson is an open-source tool that provides AI agents with a suite of deterministic mathematical functions via the Model Context Protocol. It allows LLMs to offload complex arithmetic, statistics, and trigonometry to a reliable local server, eliminating common reasoning hallucinations. It is a key utility for developers building agentic workflows in environments like Claude Desktop.
What Users Actually Pay
No user-reported pricing yet.
Our Take
Math MCP occupies a vital 'Goldilocks' position in the emerging Model Context Protocol ecosystem. While many AI models struggle with basic arithmetic due to tokenization issues, this server provides a lightweight yet comprehensive toolkit that ensures 100% accuracy for numerical operations. It is significantly more capable than minimal 'arithmetic-only' servers but remains easier to deploy than heavy symbolic math engines. Its market position is that of a standard utility for AI engineering. By following the MCP standard, it offers seamless integration with Anthropic's Claude and other compatible clients, making it a 'must-have' for users who require their agents to handle financial data, statistical summaries, or geometric calculations without error. The reliance on local execution is both a strength for privacy and a limitation for users looking for a fully managed SaaS solution. The tool is best suited for power users and developers who already use MCP-compatible hosts like Claude Desktop or Goose. For those building autonomous agents, it provides the necessary 'computational groundedness' that raw LLMs lack. However, it does not support advanced symbolic algebra (like calculus or equation solving), which remains the domain of more specialized tools like WolframAlpha or huhabla’s calculator server.
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Pros
- + Provides deterministic accuracy for operations where LLMs typically hallucinate, such as multi-step statistics and trigonometry.
- + Easy installation and execution via 'npx' without the need for complex environment configuration.
- + Balanced feature set that covers the most common real-world use cases (arithmetic, stats, rounding, and trig).
- + Low latency compared to cloud-based math APIs since it runs as a local process.
Cons
- - Lacks advanced symbolic math capabilities such as solving equations, derivatives, or integrals found in academic-focused alternatives.
- - Each enabled MCP server adds token overhead to the LLM's context window, which can increase costs if too many tools are active.
- - Requires local technical setup and a compatible MCP host, making it inaccessible for non-technical web-interface users.
Sentiment Analysis
Sentiment has improved since last capture. Sentiment has significantly improved from 0.15 to 0.85 as the Model Context Protocol (MCP) gained industry-wide adoption. The product is now widely regarded as a 'best-in-class' general-purpose math server for AI agents, praised for its reliability and ease of use in technical blogs and developer communities.
Sentiment Over Time
By Source
140 mentions
Sample quotes (1)
- "Enable your LLMs to perform accurate numerical calculations with a simple API. Leverage basic arithmetic and statistical functions to enhance your applications."
5 mentions
Sample quotes (1)
- "In the burgeoning world of MCP servers, this project has carved out a crucial niche. It strikes a perfect balance, making it what I consider the go-to, general-purpose numerical toolkit for most AI agent developers."
25 mentions
Sample quotes (1)
- "The math: Each MCP server adds ~200 tokens to context. Simple > Complex. The best tools do one thing well. EthanHenrickson/math-mcp expands into statistical and trigonometric functions."
Agent Readiness
64/100Math MCP is purpose-built for AI agents, achieving near-perfect readiness for the MCP ecosystem. It provides a standardized interface for tool-calling that any MCP-compliant agent can use immediately. While it lacks cloud-native features like Zapier or webhooks, it integrates natively with cutting-edge AI IDEs and clients like Cursor and Claude Desktop, serving as a fundamental building block for local agentic workflows.
Last checked May 10, 2026
MCP Integrations
1 server22 tools2,068,888 total usesEnable your LLMs to perform accurate numerical calculations with a simple API. Leverage basic arithmetic and statistical functions to enhance your applications. Simplify complex mathematical tasks effortlessly and improve your model's capabilities.
22 tools
addAdds two numbers togethersubtractSubtracts the second number from the first numbermultiplyMultiplies two numbers togetherdivisionDivides the first number by the second numbersumAdds any number of numbers togethermoduloDivides two numbers and returns the remaindermeanCalculates the arithmetic mean of a list of numbersmedianCalculates the median of a list of numbersmodeFinds the most common number in a list of numbersminFinds the minimum value from a list of numbersmaxFinds the maximum value from a list of numbersfloorRounds a number down to the nearest integerceilingRounds a number up to the nearest integerroundRounds a number to the nearest integersinCalculates the sine of a number in radiansarcsinCalculates the arcsine of a number in radianscosCalculates the cosine of a number in radiansarccosCalculates the arccosine of a number in radianstanCalculates the tangent of a number in radiansarctanCalculates the arctangent of a number in radiansradiansToDegreesConverts a radian value to its equivalent in degreesdegreesToRadiansConverts a degree value to its equivalent in radians
Last checked May 26, 2026
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