What is math-mcp?

59/100
Trust Score (D)
⚠️ Use Caution

math-mcp is a infrastructure that A Model Context Protocol (MCP) server that provides basic mathematical and statistical functions to Large Language Models (LLMs). This server enables LLMs to perform accurate numerical calculations th. It has a Nerq Trust Score of 59/100 (D). 82 GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

59
TRUST SCORE
D
GRADE
82
STARS
0
DOWNLOADS

What math-mcp Does

math-mcp is a mcp_server in the infrastructure category. A Model Context Protocol (MCP) server that provides basic mathematical and statistical functions to Large Language Models (LLMs). This server enables LLMs to perform accurate numerical calculations through a simple API.. It is published by an independent developer and has no specified license. With 82 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use math-mcp

math-mcp is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorUnknown
Categoryinfrastructure
LicenseNot specified
Typemcp_server
SourceView on GitHub
Security Score0/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=ethanhenrickson-math-mcp

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is math-mcp used for?
math-mcp is a infrastructure tool. A Model Context Protocol (MCP) server that provides basic mathematical and statistical functions to Large Language Models (LLMs). This server enables LLMs to perform accurate numerical calculations th.
Is math-mcp free?
License: Check project page. math-mcp has 82 GitHub stars.
Is math-mcp safe?
math-mcp has a Nerq Trust Score of 59/100 (D). Use with caution.
What are alternatives to math-mcp?
Top alternatives: n8n, langflow, dify. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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