Wolfram Alpha MCP Server
Wolfram Alpha MCP server provides AI assistants with access to the world's most advanced computational knowledge engine for mathematics, science, chemistry, physics, and data analysis.
Overview
The Wolfram Alpha MCP Server connects AI assistants to one of the most powerful computational knowledge engines ever created. Unlike traditional search engines, Wolfram Alpha computes answers from a vast collection of curated data and algorithms โ covering mathematics, physics, chemistry, engineering, finance, and more. This server enables AI models to perform complex calculations, visualize data, and access expert-level knowledge.
Community MCP Server:
Powered by the Wolfram Alpha API โ computational intelligence over 60+ knowledge domains
Key Features
Mathematics
Solve equations, compute integrals, perform matrix operations, and handle advanced mathematics
Chemistry & Physics
Compute chemical properties, balance equations, solve physics problems, and access scientific constants
Data Analysis
Analyze datasets, compute statistics, create visualizations, and perform regression analysis
Curated Knowledge
Access expertly curated data on geography, history, finance, technology, and 60+ domains
Visualization
Generate plots, charts, graphs, and geometric representations of data and functions
Unit Conversion
Convert between any units of measurement across all scientific and engineering disciplines
Available Tools
Quick Reference
| Tool | Purpose |
|---|---|
query_wolfram | Query the Wolfram Alpha API with a natural language input |
Detailed Usage
query_wolframโถ
Sends a natural language query to Wolfram Alpha. The vision argument includes images in the response for vision-capable LLMs.
{
"query": "integral of x^2 * sin(x) dx",
"vision": false
}
Installation
The README documents install from source; it provides no npm package or server Docker image. Clone it and run the Python entry point:
git clone https://github.com/akalaric/mcp-wolframalpha.git
cd mcp-wolframalpha
pip install -r requirements.txt
Create a .env with your app ID:
WOLFRAM_API_KEY=your_wolframalpha_appid
Then point your client at the server:
{
"mcpServers": {
"WolframAlphaServer": {
"command": "python3",
"args": ["/absolute/path/to/mcp-wolframalpha/src/core/server.py"]
}
}
}
Use Cases
Homework Help
Ask AI to solve math problems with step-by-step explanations for learning and understanding.
Scientific Research
Compute chemical properties, physical constants, and scientific formulas for research work.
Data Visualization
Generate plots and charts to visualize mathematical functions and data patterns.
Knowledge Queries
Ask factual questions and get computed answers across science, history, finance, and more.
Sources
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