ricocf/mcp-wolframalpha

Overview

This project implements a Model Context Protocol (MCP) server and client in Python to query Wolfram Alpha. It allows AI models using the MCP standard to access Wolfram Alpha's computational knowledge and data. The tool requires a Wolfram Alpha API key.

Best for

Best for
Developers building MCP-compatible AI agents that need factual computation or curated knowledge

Use cases

• Answering complex factual or computational queries from an AI agent
• Integrating mathematical reasoning and symbolic computation into AI workflows
• Accessing curated scientific, historical, and real-time data programmatically

How to use

Install

uv sync

Tools exposed

• uv

Tested with

Claude Desktop, VS Code, Gemini, Gradio

Example client config

{\n  "mcpServers": {\n    "WolframAlphaServer": {\n      "command": "python3",\n      "args": [\n        "/path/to/src/core/server.py"\n      ]\n    }\n  }\n}

Notes

This project implements a Model Context Protocol (MCP) server and client in Python to query Wolfram Alpha. It allows AI models using the MCP standard to access Wolfram Alpha’s computational knowledge and data. The tool requires a Wolfram Alpha API key.

83 stars on GitHub. Last updated 2026-01-12. Licensed MIT.

Use cases

• Answering complex factual or computational queries from an AI agent
• Integrating mathematical reasoning and symbolic computation into AI workflows
• Accessing curated scientific, historical, and real-time data programmatically

Pros

• Simple Python implementation easy to extend or customize
• Leverages Wolfram Alpha’s extensive and authoritative knowledge base
• Follows the MCP standard for interoperability with AI agent platforms

Cons

• Requires a Wolfram Alpha API key which has paid tiers beyond the free quota
• Limited by Wolfram Alpha’s API rate limits and query structure
• Documentation and community support are sparse (only 83 stars)

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.