smithery verified Safe content atomic container

Wolfram Alpha LLM API

Given LLM's struggle with accurate mathematics and truth having the power of Wolfram Alpha is a huge improvement. Wolfram Alpha's LLM API computational knowledge engine through natural language queries to perform mathematical calculations, scientific computing, geographic information retrieval, and data analysis. Query facts about history, art, astronomy, and more with ease. Handle ambiguous queries with assumption-based clarifications for precise results.

Cognium trust score

75%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: container
Category: ai-ml
Source: Smithery
Repository: github.com/henryhawke/wolfram-llm-mcp
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Wolfram Alpha LLM API from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"