> For the complete documentation index, see [llms.txt](https://docs.unitlab.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.unitlab.ai/api-sdk-cli/get-started.md).

# GET STARTED

- [Developer overview](https://docs.unitlab.ai/api-sdk-cli/get-started/developer-overview.md): Choose Unitlab MCP for AI assistants, or the Python SDK, CLI, and authenticated HTTP API for data annotation pipelines and automation.
- [Install the Python SDK and CLI](https://docs.unitlab.ai/api-sdk-cli/get-started/install-the-python-sdk-and-cli.md): Install the Unitlab Python SDK and CLI, verify version 3.1.3, and prepare your first data or annotation upload.
- [Authentication and configuration](https://docs.unitlab.ai/api-sdk-cli/get-started/authentication-and-configuration.md): Resolve API keys and the API base URL through explicit arguments, environment variables, or CLI configuration.
- [Python SDK quickstart](https://docs.unitlab.ai/api-sdk-cli/get-started/python-sdk-quickstart.md): Upload an image folder with the Unitlab Python SDK. Create a project, wait for processing, and verify each Data Unit with a complete two-image example.
- [CLI quickstart](https://docs.unitlab.ai/api-sdk-cli/get-started/cli-quickstart.md): Configure the CLI, create a project, upload data, wait for processing, and emit JSON for automation.