AIOZ AI Developer

Everything you need to build on the AIOZ AI platform: run inference on models, manage models and datasets, and work with storage, tasks, and organizations.

Pick how you want to build:

	Use it when
MCP server	You want your coding agent (Claude Code, Cursor, VS Code, …) to use AIOZ AI directly.
Agent skills	You're using the MCP server and want your agent to actually know how to run inference.
SDKs	You're writing code. Available for Go, Python, and TypeScript.

Get an API key

Log in to AIOZ AI Platform, go to Settings → API Keys, and create one. You'll need it for everything below.

MCP server

Give your agent the AIOZ AI toolset. Add it to your client's MCP config:

{
    "mcpServers": {
        "aioz-ai-platform": {
            "command": "npx",
            "args": ["-y", "@aiozai/mcp-server"],
            "env": {
                "AIOZ_AI_API_KEY": "xxxxxxxxxxxxxxxx"
            }
        }
    }
}

Then install the skills, so the agent knows the inference lifecycle rather than just the tools:

npx skills add AIOZNetwork/aioz-ai-developer/skills/aioz-ai-run-inference
npx skills add AIOZNetwork/aioz-ai-developer/skills/aioz-ai-upload-file

Full setup, other editors, and a no-Node install: mcp/README.md. Tool list: mcp/CATALOG.md.

SDKs

Language	Package	Docs
Go	aioz-ai-go-client	sdk/go/
Python	aiozai-sdk (PyPI)	sdk/python/
TypeScript	@aiozai/nodejs-client (npm)	sdk/typescript/

All three are generated from the same OpenAPI spec, so they share one design and stay in step with the API. See sdk/README.md.

License

Apache License 2.0. See LICENSE.