query_wolfram_alphaLABSCO SUMMARY
A search bang for Wolfram Alpha.
This is the minimal version: one query tool and a framing prompt, no client, no UI. If all you want is for the model to hand a computational question to Wolfram Alpha instead of guessing, this is the whole surface — set the AppID and go.
What it is
A small MCP server that connects to the Wolfram Alpha API. It exposes a single query tool plus a prompt that frames a question for Wolfram Alpha, the way a !wa search bang would.
What you get
- A question answered by Wolfram Alpha's engine —
query_wolfram_alpha - A prompt that wraps a query as "use Wolfram Alpha to answer the following question" —
wa
Requirements
A Wolfram Alpha AppID in WOLFRAM_API_KEY, which the README marks as required. Launched with uv --directory <path> run MCP-wolfram-alpha. The pyproject names the package mcp-wolfram-alpha at 0.2.2. For debugging, the author recommends wong2's mcp-cli inspector over the official one because of its environment handling.
Setup effort
One command plus a key — uvx mcp-wolfram-alpha, then supply credentials
USE CASES
01
Getting an exact answer to a computation
Send the question to Wolfram Alpha's engine rather than trusting the model's arithmetic.
02
Framing a question for Wolfram Alpha
Use the bundled prompt to wrap a query so the model routes it to Wolfram Alpha.
1 tool
Listed in project docs. Your client may show a different list.
BEFORE YOU INSTALL
What to know first
Tools you get
1 tool named in the project's documentation.
Requires
- uvx on PATH
- WOLFRAM_API_KEY in your environment
INSTALLATION
Connect your client
Add the block to your client, or run the command directly.
Server setup
Configuration file
JSON
{
"mcpServers": {
"mcp-wolfram-alpha": {
"command": "uvx",
"args": [
"mcp-wolfram-alpha"
],
"env": {
"WOLFRAM_API_KEY": "<YOUR_WOLFRAM_API_KEY>"
}
}
}
}uvx
TERMINAL
uvx mcp-wolfram-alpha
