twf-cli 0.9.3

Toolchain for designing and validating entire Temporal systems in .twf — CLI, language server, and MCP server.

twf-cli

The twf CLI for Python projects — design and validate entire Temporal systems in .twf, emit the deployment graph, and serve Language Server / MCP protocols. A thin wrapper around the bundled platform binary: same tool, same flags, same output as the standalone twf distribution, installable via pip. See the project README for the full picture (visualizer, skills, examples).

Install

pip install twf-cli
twf --help

The wheel for your platform ships the matching twf binary. Supported platforms (one wheel each):

Platform	Wheel tag
macOS arm64 (Apple Silicon)	macosx_11_0_arm64
macOS x64 (Intel)	macosx_10_15_x86_64
Linux x64	manylinux2014_x86_64
Linux arm64	manylinux2014_aarch64
Windows x64	win_amd64

Use as an MCP server

Once installed:

{
  "mcpServers": {
    "twf": {
      "command": "twf",
      "args": ["mcp"]
    }
  }
}

Works in any MCP-compatible client (Claude Desktop, Cursor MCP, Continue, Windsurf, Zed). See the main project README for the full MCP feature surface.

Subprocess use from Python

import subprocess
import json

result = subprocess.run(
    ["twf", "parse", "workflow.twf"],
    capture_output=True,
    text=True,
    check=True,
)
ast = json.loads(result.stdout)

Versioning

Versions are synced to the upstream temporal-architect Git tag, so 0.3.x of this package corresponds to v0.3.x of the toolchain.

License

MIT. See LICENSE.