MCP-wolfram-alpha

by SecretiveShell
Verified

MCP-wolfram-alpha

A MCP server to connect to wolfram alpha API.

<a href="https://glama.ai/mcp/servers/q5fud9cttp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/q5fud9cttp/badge" /> </a>

Components

Prompts

This is analogous to the !wa bang in duckduckgo search.

def wa(query: str) -> f"Use wolfram alpha to answer the following question: {query}"

Tools

Query Wolfram Alpha api.

def query_wolfram_alpha(query: str) -> str

Configuration

You must set the WOLFRAM_API_KEY environment variable. Get an api ket from Wolfram Alpha.

This was tested with the full results API, but it might not be required.

{ "mcpServers": { "MCP-wolfram-alpha": { "command": "uv", "args": [ "--directory", "C:\\Users\\root\\Documents\\MCP-wolfram-alpha", "run", "MCP-wolfram-alpha" ], "env": { "WOLFRAM_API_KEY": "your-app-id" } } } }

Development

Debugging

Since the official MCP inspector does not have good environment support, I reccommend using wong2's mcp-cli-inspector.

Create a config.json file in the same style as claude desktop.

{ "mcpServers": { "MCP-wolfram-alpha": { "command": "uv", "args": [ "--directory", "/full/path/to/MCP-wolfram-alpha", "run", "MCP-wolfram-alpha" ], "env": { "WOLFRAM_API_KEY": "your-app-id" } } } }

Then run:

npx @wong2/mcp-cli -c .\config.json
A
security – no known vulnerabilities (report Issue)
A
license - permissive license
A
quality - confirmed to work

Connect your chat repl to wolfram alpha computational intelligence

  1. Components
    1. Prompts
      1. Tools
      2. Configuration
        1. Development
          1. Debugging