Axiom Lab — AI Pitch Deck & Business Video MCP
RemoteAbout Axiom Lab — AI Pitch Deck & Business Video MCP
Axiom Lab’s official MCP server, CLI, and SDKs turn decks, documents, images, and briefs into commercial videos. It validates inputs with a free production plan before rendering, which begins only after explicit confirmation.
Key features
- 01Upload documents, images, video, and audio
- 02Generate and validate production plans
- 03Create and track video jobs
- 04Pause, resume, or cancel jobs
- 05Approve additional budget requests
- 06Python and TypeScript SDKs
Use cases
- 01Turn a pitch deck into a video
- 02Create a product video from photos and a brief
- 03Track production progress and retrieve download links
- 04Review a free plan before confirming production
MCP support
The server connects through remote Streamable HTTP or local stdio and exposes tools for uploads, planning, video jobs, and balance checks, plus four prompts and two resources. Plans are free; paid production starts only after explicit confirmation.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://axiomlab.online/mcpclaude mcp add --transport http axiom-lab-tech-axiomlab https://axiomlab.online/mcp{"mcpServers":{"axiom-lab-tech-axiomlab":{"type":"http","url":"https://axiomlab.online/mcp"}}}Open in Cursor{"servers":{"axiom-lab-tech-axiomlab":{"type":"http","url":"https://axiomlab.online/mcp"}}}Open in VS Code{"mcpServers":{"axiom-lab-tech-axiomlab":{"type":"http","url":"https://axiomlab.online/mcp"}}}{"mcpServers":{"axiom-lab-tech-axiomlab":{"serverUrl":"https://axiomlab.online/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://axiomlab.online/mcpAuth requiredTools
Details
From the project READMEAxiom Lab MCP Server, CLI & SDKs (azimo)
Official Model Context Protocol (MCP) server, azimo command-line client, Python SDK, and TypeScript SDK for Axiom Lab — turn PDF pitch decks, PPTX slides, UI screenshots, product photos, and written briefs into QA-checked commercial videos.
- Website: https://axiomlab.online
- Official MCP Registry:
io.github.Axiom-lab-tech/axiomlab-mcp - Glama MCP Directory: https://glama.ai/mcp/servers/Axiom-lab-tech/axiomlab-mcp
- Smithery Skill:
axiomlab/azimo - MCP & Agent Guide: English · 中文文档
- REST API Reference: https://axiomlab.online/developers/api
- Claude Skill (
SKILL.md):skills/azimo/SKILL.md· Online Guide - Full Playable Examples: https://axiomlab.online/examples
- Free Pitch & Startup Calculators: https://axiomlab.online/tools
Two Ways to Connect via MCP
Option 1: Remote Streamable HTTP MCP (Zero Local Install)
Point Claude Code, Cursor, or any Streamable HTTP MCP client directly at https://axiomlab.online/mcp using an API key from https://axiomlab.online/dev:
claude mcp add --transport http azimo https://axiomlab.online/mcp \
--header "Authorization: Bearer $AZIMO_API_KEY"
Or in ~/.cursor/mcp.json / claude_desktop_config.json:
{
"mcpServers": {
"azimo": {
"url": "https://axiomlab.online/mcp",
"headers": {
"Authorization": "Bearer ${env:AZIMO_API_KEY}"
}
}
}
}
Option 2: Local stdio MCP Server (azimo mcp)
Run the local stdio MCP server directly on macOS, Linux, or Windows (enables direct local file path uploads up to 60 MB per file without base64 inline limits):
pip install "git+https://github.com/Axiom-lab-tech/axiomlab-mcp.git"
Configure in claude_desktop_config.json or ~/.cursor/mcp.json:
{
"mcpServers": {
"azimo": {
"command": "azimo",
"args": ["mcp"],
"env": {
"AZIMO_API_KEY": "vg_..."
}
}
}
}
Or launch ephemeral via uvx:
uvx --from "git+https://github.com/Axiom-lab-tech/axiomlab-mcp.git" azimo mcp
Available MCP Tools (14 Tools, 4 Prompts, 2 Resources)
| Tool | Description |
|---|---|
azimo_list_workflows | List supported video workflows (explainer, motion_explainer, product_pitch, profile_card, short_drama, creative_video), durations, and aspect ratios |
azimo_list_playground | List ready-made starting templates (project intro, person card, product film, company intro, short-drama ad, e-commerce ad) with runnable examples |
azimo_list_video_types | Inspect structured fields for project, product, personal, corporate, and name_card videos |
azimo_upload_asset | Upload source PDFs, PPTX decks, DOCX briefs, PNG/JPG/WEBP photos, MP4/MOV clips, or audio references |
azimo_list_assets | List files uploaded to the current project with their asset_ids |
azimo_create_plan | Validate material and generate a free structured production plan before any paid rendering starts |
azimo_create_video | Start paid video production from a confirmed ready plan (idempotent per plan_id) |
azimo_get_video | Retrieve job status, stage, progress, and signed MP4 film + cover (+ SRT) download links |
azimo_wait_video | Long-poll until production reaches a terminal state or pauses at needs_input (confirm_duration) |
azimo_list_videos | List recent videos in the active project with status |
azimo_cancel_video | Cancel a queued, waiting, or running video job before its next paid step |
azimo_approve_budget | Authorize extra spending when a video stops with an approvable budget_approval request |
azimo_resume_video | Confirm the suggested film duration (duration_sec, 30–180s) or continue a paused needs_input video |
azimo_get_balance | Check total, reserved, and available prepaid HKD wallet balance |
- MCP Prompts (4):
create_product_video,create_company_intro,create_project_intro,create_person_card - MCP Resources (2):
azimo://workflows,azimo://video-types
Safety by design: Plans are always free. Production and billing only start after explicit confirmation, and viewer-role API keys can inspect plans and progress without permission to spend balance.
Python SDK
import os
from vidgen_sdk import Vidgen
with Vidgen("https://axiomlab.online", os.environ["AZIMO_API_KEY"]) as api:
asset = api.upload_asset("deck.pdf")
plan = api.create_plan(
{
"prompt": "Explain in 60 seconds how our inventory platform cuts warehouse stockouts",
"assets": [asset["id"]],
"options": {"workflow": "auto", "duration_max": 60},
},
idempotency_key="launch-plan-001",
)
if plan["data"]["status"] == "ready":
job = api.create_video(plan_id=plan["id"], idempotency_key="launch-video-001")
final = api.wait(job["id"])
stop = (final.get("result") or {}).get("input_required") or {}
if stop.get("code") == "confirm_duration":
api.confirm_duration(job["id"], stop["suggested_duration_sec"], idempotency_key="launch-length-001")
final = api.wait(job["id"])
TypeScript SDK (typescript/)
See typescript/README.md for the zero-dependency Node.js 22+ / Web Crypto TypeScript client (@vidgen/sdk).
License
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.