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Math Learning

by clouatre-labs

Math Learning: hands-on math server for calculations, statistics, and data visualization with a persistent workspace for

Educational server for mathematical operations, statistics, and data visualization with persistent workspace

github stars

3

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Persistent workspace survives restartsRemote cloud hosting available17 mathematical and visualization tools

best for

  • / Students learning mathematics and statistics
  • / Educators creating mathematical demonstrations
  • / Analysts performing quick statistical calculations
  • / Anyone needing mathematical computations with data persistence

capabilities

  • / Calculate mathematical expressions with basic operations and functions
  • / Perform statistical calculations (mean, median, mode, standard deviation)
  • / Calculate compound interest for investments
  • / Convert between different units of measurement
  • / Save and load calculation results to persistent workspace
  • / Generate plots for mathematical functions and statistical data

what it does

Educational server that provides mathematical calculations, statistical analysis, and data visualization with the ability to save work to a persistent workspace.

about

Math Learning is a community-built MCP server published by clouatre-labs that provides AI assistants with tools and capabilities via the Model Context Protocol. Math Learning: hands-on math server for calculations, statistics, and data visualization with a persistent workspace for It is categorized under analytics data, developer tools. This server exposes 17 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Math Learning in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Math Learning is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Math Learning: hands-on math server for calculations, statistics, and data visualization with a persistent workspace for

TL;DR: Educational server that provides mathematical calculations, statistical analysis, and data visualization with the ability to save work to a persistent workspace.

What it does

  • Calculate mathematical expressions with basic operations and functions
  • Perform statistical calculations (mean, median, mode, standard deviation)
  • Calculate compound interest for investments
  • Convert between different units of measurement
  • Save and load calculation results to persistent workspace
  • Generate plots for mathematical functions and statistical data

Best for

  • Students learning mathematics and statistics
  • Educators creating mathematical demonstrations
  • Analysts performing quick statistical calculations
  • Anyone needing mathematical computations with data persistence

Highlights

  • Persistent workspace survives restarts
  • Remote cloud hosting available
  • 17 mathematical and visualization tools

FAQ

What is the Math Learning MCP server?
Math Learning is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Math Learning?
This profile displays 30 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.

Discussion

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Ratings

4.430 reviews
  • Anaya Abbas· Dec 16, 2024

    We evaluated Math Learning against two servers with overlapping tools; this profile had the clearer scope statement.

  • Arjun Perez· Dec 12, 2024

    Strong directory entry: Math Learning surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Min Gill· Dec 4, 2024

    Math Learning has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Anaya Shah· Nov 23, 2024

    Math Learning is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Arjun Li· Nov 7, 2024

    Useful MCP listing: Math Learning is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Daniel Jackson· Oct 26, 2024

    Math Learning reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Chaitanya Patil· Oct 14, 2024

    Math Learning reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Xiao Dixit· Oct 14, 2024

    We wired Math Learning into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Sep 21, 2024

    Math Learning has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Piyush G· Sep 5, 2024

    I recommend Math Learning for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

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