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jax-mcp

MCP (Model Context Protocol) server for JAX documentation.

Enables LLMs to access up-to-date JAX documentation and validate generated code.

Installation

pip install -e .

Or run directly:

python -m jax_mcp

Usage with Claude Code

# Add as MCP server
claude mcp add -t stdio -s user jax -- python -m jax_mcp

# Or if installed globally
claude mcp add -t stdio -s user jax -- jax-mcp

Configuration

Environment Variable Default Description
JAX_DOCS_PATH (none) Path to local JAX docs directory (offline mode)
JAX_MCP_CACHE_DIR ~/.cache/jax-mcp Cache directory for online mode
JAX_MCP_CACHE_TTL 24 Cache TTL in hours
JAX_MCP_NO_CACHE 0 Set to 1 to disable caching

Offline Mode

Point to a local JAX clone for offline access:

export JAX_DOCS_PATH=/path/to/jax/docs
python -m jax_mcp

Online Mode (Default)

Fetches docs from GitHub with local caching:

python -m jax_mcp
# Fetches from: raw.githubusercontent.com/google/jax/main/docs/

Available Tools

Tool Description
list-sections List all documentation sections by category
get-documentation Fetch specific documentation content
jax-checker Validate JAX code for common gotchas

Documentation Categories

  • concepts: Core JAX concepts (pytrees, transformations, tracing)
  • gotchas: Common mistakes and how to avoid them
  • transforms: jit, vmap, grad, scan patterns
  • advanced: Distributed computing, custom pytrees
  • performance: GPU tips, profiling, benchmarking
  • api: Module overviews (jax.numpy, jax.lax, jax.random)
  • examples: Practical code examples

JAX Checker

The jax-checker tool catches common JAX mistakes:

  • In-place array mutations (array[idx] = value)
  • Side effects in jitted functions (print, globals)
  • PRNG key reuse without splitting
  • Python control flow in traced code
  • Missing block_until_ready() for benchmarks
  • Float64 usage without config

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

License

MIT

Metadata

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