Wolfram Alpha
MCP-WolframAlpha provides a bridge between language models and the Wolfram Alpha computational engine, enabling AI assistants to perform mathematical calculations, scientific queries, and data analysis with structured results. The implementation supports both text-only and vision-capable LLMs through a modular architecture that processes Wolfram Alpha API responses into formatted text or base64-encoded images. Built with asyncio for efficient concurrent queries, it includes clients for both Gemini and quantized local LLMs, making it valuable for enhancing conversational AI with computational intelligence for math, science, and knowledge-based queries.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/akalaric/mcp-wolframalpha
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Wolfram Alpha 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--scope user for --scope project to commit it to .mcp.json.