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MCP-wolfram-alpha

by SecretiveShell
GitHub
Python
MIT License
18
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Integrations

  • Connects to the Wolfram Alpha API to answer questions by querying the computational knowledge engine

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

You must be authenticated.

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

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.

Tools

Connect your chat repl to wolfram alpha computational intelligence

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

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