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MCP-wolfram-alpha

by SecretiveShell
GitHub
Python
MIT License
59
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MCP-wolfram-alpha

A MCP server to connect to wolfram alpha API.

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
Deploy Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Conecte su respuesta de chat a la inteligencia computacional de Wolfram Alpha

  1. Componentes
    1. Indicaciones
    2. Herramientas
  2. Configuración
    1. Desarrollo
      1. Depuración

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