Awesome
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