Developers
Build video production into your product
Everything Azimo does is available through a REST API, Python and TypeScript SDKs, a command line and MCP: upload material, review a plan, confirm it, and receive a video only once it passes QA.
Documentation
Quickstart
Get a key, upload material, create a plan, confirm it and download the film: your first video in five steps.
Read →02Workflows and video types
What each of the six workflows is for, what material it needs and what it delivers.
Read →03CLI and MCP
Produce videos with the azimo command line, or connect Azimo to Claude, Cursor and other AI assistants.
Read →04Advanced usage
Webhooks, batches, idempotent retries, pagination and error handling.
Read →05API reference
Parameters, request body, response fields and a curl example for every endpoint, generated from the live API definition.
Read →06Skills
Give Claude the Azimo skill: plan first, produce after confirmation, download the film.
Read →07Changelog
Changes to the API, command line and console, newest first.
Read →Your first request
Four steps: upload, plan, confirm, fetch the result. Set $AZIMO_API_KEY to your key.
# 1. Upload material (PDF / PPTX / TXT / MD / PNG / JPG, up to 60 MB)
curl -X POST "https://axiomlab.online/v1/assets" -H "Authorization: Bearer $AZIMO_API_KEY" -F file=@product.pdf
# 2. Create a plan: see the workflow, specs and anything missing; nothing is produced yet
curl -X POST "https://axiomlab.online/v1/plans" -H "Authorization: Bearer $AZIMO_API_KEY" \
-H "Idempotency-Key: launch-plan-001" -H "Content-Type: application/json" \
-d '{"prompt":"In 30 seconds, show a warehouse manager how our inventory platform prevents stock-outs","assets":["<asset id>"]}'
# 3. Confirm the plan and start production → 202
curl -X POST "https://axiomlab.online/v1/videos" -H "Authorization: Bearer $AZIMO_API_KEY" \
-H "Idempotency-Key: launch-video-001" -H "Content-Type: application/json" -d '{"plan_id":"<plan id>"}'
# 4. Follow progress; download links arrive when it is complete
curl "https://axiomlab.online/v1/videos/<video id>" -H "Authorization: Bearer $AZIMO_API_KEY"
Install the SDK and CLI
# The Python SDK, the azimo command line and the MCP server ship in one package (Python 3.9+) pip install ./sdk/python azimo login # paste your API key; it is saved only after the server accepts it
The TypeScript SDK lives in sdk/typescript: zero dependencies, Node.js 22+ or a modern browser.
Connect an AI assistant (MCP)
Create plans, start production and check progress from Claude, Cursor and other MCP clients. Run it locally or use the remote server:
claude mcp add azimo -- azimo mcp claude mcp add --transport http azimo https://axiomlab.online/mcp --header "Authorization: Bearer $AZIMO_API_KEY"
Give the docs to an AI assistant
Every page has a “Copy for LLM” button that copies it as Markdown with a short Azimo context header. You can also point AI tools at:
https://axiomlab.online/llms.txt— an index of the docshttps://axiomlab.online/llms-full.txt— every guide and the API reference in one file