OuterSpace Apizr
Python capability compiler: read-only analysis, experiment history/comparison and exposure planning.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
outerspace-apizr-mcpclaude mcp add outerspace-apizr -- uvx outerspace-apizr-mcp==0.4.6 --project --operator-policy --plugins-dir{
"mcpServers": {
"outerspace-apizr": {
"command": "uvx",
"args": [
"outerspace-apizr-mcp==0.4.6",
"--project",
"--operator-policy",
"--plugins-dir"
]
}
}
}Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
OuterSpace Apizr
Turn existing Python functions into REST APIs or MCP tools. Inspect training scripts and notebooks, record experiments, and compare their results.
Apizr 0.4.6 supports Python 3.11–3.15 on macOS and Linux.
Install
With uv:
uv tool install outerspace-apizr==0.4.6
apizr --versionPrefer pip or Homebrew? Follow the installation guide.
Try it
Save this as pricing.py:
def total(quantity: int, unit_price: float) -> float:
return round(quantity * unit_price, 2)Inspect the function, then generate its MCP server:
apizr inspect pricing.py
apizr generate mcp pricing.py --select total --output-dir dist/mcpApizr reads the function without running it. You choose which functions to expose. The generated server runs them when a client calls them.
Follow the Quickstart to start a server and make your first REST or MCP calls. The full walkthrough explains how this works across a project.
Work with experiments
Start with a training script or notebook you want to understand:
apizr experiment inspect train.pyThe report shows the data, parameters and calculations found in the source. It does not train a model or invent scores.
You can then run trusted code, keep its history, compare results and share a selected prediction function. Start with the Data Scientist quickstart, or follow the Academy.
Go further
- Track Python calls and Jupyter cells.
- Review experiments in VS Code.
- Analyze a project from an MCP client.
- Build a service image or deliver it with Attest.
The core handles inspection and generation. Plugins are optional. Run generated services and experiments only with code and dependencies you trust.
Documentation · Release notes · Contributing · Report an issue
Frequently asked questions
What is OuterSpace Apizr?
Python capability compiler: read-only analysis, experiment history/comparison and exposure planning.
How do I install OuterSpace Apizr?
It runs on your machine. In Claude Code: claude mcp add outerspace-apizr -- uvx outerspace-apizr-mcp==0.4.6 --project --operator-policy --plugins-dir. For other clients, paste the JSON configuration from this page into their MCP settings.
Does OuterSpace Apizr need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is OuterSpace Apizr open source?
Yes. Its code is on GitHub under the GPL-3.0 license.
Who maintains OuterSpace Apizr?
It is published by Alien6-Studio. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.