pysae-ai-tools

What it is and what it does

pysae-ai-tools is a CLI and Python package that manages Pysae's internal AI development infrastructure—Claude Code skills, language toolchains (Python, Node), CLI binaries, and MCP servers. It automates installation, configuration, and credential resolution across multiple assistants and environments, with deep integration to AWS Secrets Manager for token and secret management.

The package provides interactive and non-interactive installation modes, handles private PyPI and npm registry authentication, registers MCP servers into Claude and Codex config files, and orchestrates tool dependencies in dependency order. It supports editable (development) installation from git, binary-only or config-only modes for CI/container builds, and caches user responses to avoid repeated prompts. Most infrastructure skills require AWS credentials; without them, those tools remain unconfigured.

Use it for:

• Bootstrap a developer machine with Pysae's full AI toolchain, language runtimes, and Claude Code skill registration in one command.
• Configure MCP servers and resolve secrets from AWS Secrets Manager into Claude and Codex without manual credential entry.
• Build Docker images with frozen binaries and deferred runtime configuration using --install-only and --configure-only flags.
• Develop and test Claude Code skills in editable mode, with automatic redeployment after code changes.
• Repair or rotate credentials and MCP registrations across multiple assistants using --configure-only without reinstalling binaries.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Orchestrates installation and configuration of Pysae's internal AI toolchain—Claude Code skills, Python packages, Docker images, and GitLab webhook relays—with integrated AWS Secrets Manager resolution and MCP registration.

Yes, if you are a Pysae developer or operator working with Claude Code skills and internal AI infrastructure. The package solves real orchestration and credential-management problems for a managed toolchain. However, verify that this is not Pysae-internal-only software before adopting it outside that organization. License treatment is unclear, so confirm licensing terms before commercial use or redistribution.

Install

pysae-ai-tools on PyPI

pip install pysae-ai-tools

uv add pysae-ai-tools

poetry add pysae-ai-tools

Installing pysae-ai-tools

Before you install

Low install friction; pure Python wheel with 14 runtime dependencies (anthropic, fastapi, pymongo, pydantic, typer, uvicorn, and others). Released 0 days ago with active maintenance status. Requires AWS credentials for most infrastructure skills and secret resolution; curl for bootstrap; Python >=3.11.

License in practice

License treatment is unclear—no SPDX identifier or raw license text provided. Verify licensing terms before use, especially in commercial or redistributed contexts.

Quickstart

# Linux/macOS
curl -fsSL https://tools.pysae.com/pysae-ai-tools/install.sh | bash

# Then:
pysae-ai-tools tools install
pysae-ai-tools tools status

Requires AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY for most skills; GitLab account with Reporter role on pysae/tools/ai-tools to read the private PyPI registry; curl installed (or winget on Windows).

Verify before relying

• Whether this package is intended for public use or is Pysae-internal only (description suggests internal tooling).
• Exact scope of AWS Secrets Manager integration and which credentials are mandatory vs. optional per skill.
• Support for Python versions beyond 3.14 or deprecation timeline for older 3.x versions.

Package facts

Evidence: pysae_ai_tools-0.1.1743-py3-none-any.whl

Tags

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