MCP Mathematics
A comprehensive Model Context Protocol (MCP) server that turns any AI assistant into a powerful mathematical computation engine.
What is MCP Mathematics?
MCP Mathematics is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to comprehensive model context protocol (mcp) server that turns any ai assistant into a powerful mathematical computation engine.
A comprehensive Model Context Protocol (MCP) server that turns any AI assistant into a powerful mathematical computation engine.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A comprehensive Model Context Protocol (MCP) server that tur
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-mathematicsConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use MCP Mathematics
MCP Mathematics is a comprehensive Model Context Protocol server that adds 21 specialized mathematical tools to any AI assistant, covering expression evaluation, unit conversion across 158 units in 15 categories, statistical analysis, matrix operations, number theory, financial calculations, and stateful computation sessions. It is available as the mcp-mathematics PyPI package and can be run instantly with uvx without a local install.
Prerequisites
- Python 3.9+ with pip or uv installed
- uv package manager recommended for zero-install usage (curl -LsSf https://astral.sh/uv/install.sh | sh)
- Claude Desktop, Claude Code, or another MCP-compatible client
- No API keys or external services required
Install uv (recommended)
Install the uv package manager which enables running mcp-mathematics without a permanent local install using uvx. This is the fastest way to get started.
curl -LsSf https://astral.sh/uv/install.sh | shInstall mcp-mathematics
Install the mcp-mathematics package. With uv you can run it directly via uvx without installing. Alternatively use pip for a traditional install.
# Run without installing (uv):
uvx mcp-mathematics
# Or install permanently with pip:
pip install mcp-mathematics
# Or install for development:
git clone https://github.com/SHSharkar/MCP-Mathematics.git
cd MCP-Mathematics
pip install -e .Configure Claude Desktop with uvx
Edit claude_desktop_config.json to add the mathematics server using uvx. This is the recommended configuration as it always runs the latest published version.
{
"mcpServers": {
"mcp-mathematics": {
"command": "uvx",
"args": ["mcp-mathematics"]
}
}
}Alternative: Configure with pip-installed binary
If you installed with pip, use the mcp-mathematics command directly instead of uvx.
{
"mcpServers": {
"mcp-mathematics": {
"command": "mcp-mathematics"
}
}
}Restart Claude Desktop and verify
Restart Claude Desktop and ask Claude to list available mathematical functions to confirm all 21 tools are loaded and the server is connected.
MCP Mathematics Examples
Client configuration
claude_desktop_config.json entry for MCP Mathematics using uvx for zero-install execution of the mcp-mathematics package.
{
"mcpServers": {
"mcp-mathematics": {
"command": "uvx",
"args": ["mcp-mathematics"]
}
}
}Prompts to try
Sample prompts for using the 21 mathematical tools provided by MCP Mathematics through Claude Desktop.
- "Calculate sin(pi/4) + cos(pi/3) and show the result"
- "Convert 100 kilometers to miles"
- "Convert 72 degrees Fahrenheit to Celsius"
- "Compute the mean, median, and standard deviation of [4, 8, 15, 16, 23, 42]"
- "Multiply matrix [[1,2],[3,4]] by [[5,6],[7,8]]"
- "Is 97 a prime number? Also find its divisors"
- "List all available mathematical functions and constants"Troubleshooting MCP Mathematics
uvx command not found
Install uv with curl -LsSf https://astral.sh/uv/install.sh | sh and then run uv tool update-shell or add ~/.cargo/bin to your PATH. Alternatively switch to the pip configuration and use 'command': 'mcp-mathematics' instead.
mcp-mathematics command not found after pip install
The pip install may have placed the binary in a directory not on your PATH. Run pip show mcp-mathematics to find the install location, then either add the bin directory to PATH or use the full absolute path in the config.
Expression evaluation returns unexpected results
MCP Mathematics uses Python's math semantics. Division follows standard Python 3 rules (/ is float division). Use ** for exponentiation instead of ^. Unicode operators × and ÷ are supported as alternatives.
Frequently Asked Questions about MCP Mathematics
What is MCP Mathematics?
MCP Mathematics is a Model Context Protocol (MCP) server that comprehensive model context protocol (mcp) server that turns any ai assistant into a powerful mathematical computation engine. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MCP Mathematics?
Follow the installation instructions on the MCP Mathematics GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MCP Mathematics?
MCP Mathematics works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MCP Mathematics free to use?
Yes, MCP Mathematics is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
MCP Mathematics Alternatives — Similar Data Science & ML Servers
Looking for alternatives to MCP Mathematics? Here are other popular data science & ml servers you can use with Claude, Cursor, and VS Code.
Ultrarag
★ 5.6kA Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
RocketRide
★ 3.1k📇 🏠 - MCP server that exposes RocketRide AI pipelines as t
Aix Db
★ 2.1kAix-DB 基于 LangChain/LangGraph 框架，结合 MCP Skills 多智能体协作架构，实现自然语言到数据洞察的端到端转换。
NeMo Data Designer
★ 1.9k🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
PaperBanana
★ 1.7kOpen source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.
MiniMax
★ 1.5kBridges MiniMax AI capabilities to the Model Context Protocol, enabling AI agents to perform image understanding, text-to-image generation, and speech synthesis. It provides a standardized interface for accessing MiniMax's core tools via JSON-RPC.
Browse More Data Science & ML MCP Servers
Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up MCP Mathematics in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use MCP Mathematics?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.