claude

torchtalk

MCP server giving Claude Code cross-language understanding of PyTorch (Python -> C++ -> CUDA): binding-chain tracing, impact analysis, dispatch mapping, call graphs, and test discovery.

12 on GitHubby Adrian Abeytav1.0.0MITupdated 1 month ago

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin torchtalk in TorchedHat/torchtalk. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — its hooks fire automatically on events like tool use and it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (1)

  • torchtalk-analyzer

    Analyze PyTorch internals across Python, C++, and CUDA layers. Use when asked about how PyTorch operators work internally, where functions are implemented (CPU/CUDA backends), what would break if code is modified (impact analysis), how torch.nn modules connect to native code, or finding tests for Py

MCP servers (1)

  • torchtalk

    runs: torchtalk mcp-serve --harness pytorch

Hooks (1)

  • SessionStart

    ${CLAUDE_PLUGIN_ROOT}/scripts/plugin-setup.sh

View source on GitHub

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