PyTorch Documentation Search
PyTorch Documentation Search Tool provides semantic search capabilities over PyTorch documentation with code-aware results, enabling Claude Code to find relevant APIs, examples, and error messages. Built with a modular architecture supporting both STDIO and SSE transports, it uses vector embeddings through OpenAI's API to deliver high-quality search results with intelligent ranking that prioritizes code snippets for implementation queries and conceptual explanations for theoretical questions. The tool integrates seamlessly with Claude CLI through multiple deployment options including direct STDIO integration, HTTP/SSE for shared servers, and UVX packaging for distribution.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve PyTorch Documentation Search 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.