clouatre-labs/math-mcp-learning-server
by Various
Educational MCP server with math operations, matrix algebra, data visualization, and persistent workspace
MCP
clouatre-labs/math-mcp-learning-server
Added 1 June 2026
Overview
An educational MCP server that provides math operations, matrix algebra, data visualization, and a persistent workspace. It is built in Python and designed for learning and experimentation with mathematical concepts.
Best for
Best for
Developers and students learning math concepts through hands-on MCP server interaction
Use cases
- Exploring matrix algebra and linear algebra operations interactively
- Creating data visualizations for mathematical functions or datasets
- Building and testing math-related workflows in a persistent workspace
How to use
Tools exposed
workspace_saveworkspace_loadcalc_expressioncalc_statisticscalc_interestcalc_unitsmatrix_multiplymatrix_transposematrix_determinantmatrix_inversematrix_eigenvaluesplot_functionplot_histogramplot_line_chartplot_scatterplot_box_plotplot_financial_line
Tested with
Claude Desktop
Example client config
{\n "mcpServers": {\n "math": {\n "command": "uvx",\n "args": ["math-mcp-learning-server[scientific,plotting]"]\n }\n }\n} Notes
An educational MCP server that provides math operations, matrix algebra, data visualization, and a persistent workspace. It is built in Python and designed for learning and experimentation with mathematical concepts.
4 stars on GitHub. Last updated 2026-05-25.
Use cases
- Exploring matrix algebra and linear algebra operations interactively
- Creating data visualizations for mathematical functions or datasets
- Building and testing math-related workflows in a persistent workspace
Pros
- Free and open source with a small, focused codebase
- Persistent workspace supports iterative learning and experimentation
- Covers a range of math topics from basic operations to matrix algebra
Cons
- Limited to educational use, not optimized for production workloads
- Small community and low star count may mean slower updates or support
- Requires Python environment setup and MCP client integration
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Free and open source with a small, focused codebase
- Persistent workspace supports iterative learning and experimentation
- Covers a range of math topics from basic operations to matrix algebra
Cons
- Limited to educational use, not optimized for production workloads
- Small community and low star count may mean slower updates or support
- Requires Python environment setup and MCP client integration
Pairs with
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