Documentation Index
Fetch the complete documentation index at: https://docs.babou.ai/llms.txt
Use this file to discover all available pages before exploring further.
What MCP gives you
The Babou MCP server is the agentic interface to the same engine the REST API exposes. Same product. Different consumer. Instead of your application code making calls, an AI assistant (Claude, Cursor, anything MCP-aware) makes them on the user’s behalf.MCP or REST? Use MCP when an AI assistant is the driver: agents picking templates, assembling chapters, watching for product changes and reacting. Use the REST API for direct programmatic control from your own application.
What changes with MCP
Agentic, not chat
The agent picks the project shape, opens chapters, fills them with prompts, exports the result. You describe outcomes, not API calls.
Watches your product
Point an agent at a release note, a Figma frame, or a deployed page, and it builds the matching marketing video.
Picks the right building block
Agents can pick a Template, drop in Blocks, or invoke an App for the input it has, instead of building from scratch every time.
Async-aware
Tools that are slow (prompts, exports) wait for completion or return a clean status the agent can poll.
Available tools
The Babou MCP server exposes six tools today:Projects
CreateProject
CreateProject
Create a new project with a name and description.
ListProjects
ListProjects
List all your projects.
Chapters
AddChapter
AddChapter
Add a chapter to a project with a name and optional duration.
ListChapters
ListChapters
List all chapters in a project, with their current status.
Prompts
AddPrompt
AddPrompt
Submit a prompt to a chapter, describing what to build. Waits up to 30 seconds for completion.
Export
ExportProject
ExportProject
Export a completed project to a downloadable video file.
How it lands
Set up the server
Drop the Babou MCP server into your AI assistant’s config. See the setup guide.
Point the agent at a real surface
A release note, a Figma frame, a deployed page, a screenshot. The agent reads it.
Agent runs the pipeline
The agent uses the tools above to assemble the project, fill chapters, and export.
MCP vs REST
| MCP server | REST API | |
|---|---|---|
| Best for | Agents driving the work | Application code driving the work |
| Caller | Claude, Cursor, MCP-aware tools | Your services |
| Style | Outcomes (“build the launch ad from this release note”) | Endpoints (POST /projects, POST /chapters, …) |
| Auth | OAuth or API key | API key |
| Async | Tools wait for completion or return pollable status | Manual polling |
| When to reach for it | Exploration, iteration, hands-off pipelines | Production integrations, scheduled jobs |
The MCP server is a thin wrapper over the REST API. Anything an agent can do via MCP, your code can do via REST, and vice versa.
Getting started
Setup guide
Install and configure the MCP server
Tool reference
Every tool, with parameters and examples
Examples
Real flows: launch ad, Figma demo, batch variants
REST API
Drive Babou from your own application code
Supported clients
The Babou MCP server works with any MCP-compatible client:- Claude Desktop (Anthropic)
- Claude for VS Code
- Cursor
- Any custom MCP client