One workflow. More ways in.
Give your workflows clean API routes. Expose them as MCP tools so AI clients can use them, too.
/v1/customers/v1/orderscreate_orderConnect your backend workflows to apps and AI agents.
Manage access, versions, and every request in one place.
Your workflows. Your data. A new way to connect.
/customers/{uniqueId}tenantId*stringGatewayuniqueId*stringPath01 / BUILT FOR THE CONNECTION
The missing layer between your Bubble app and everything you want to connect it to.
Give your workflows clean API routes. Expose them as MCP tools so AI clients can use them, too.
/v1/customers/v1/orderscreate_orderCreate consumers, issue API keys, and inject tenant IDs. Stay in control of who can call your workflows.
Follow requests from your API to your workflow and back. Find errors with the context you need to fix them.
/v1/customersRESTcreate_orderMCP/v1/ordersREST02 / FROM WORKFLOW TO ENDPOINT
Add your app and API credentials. Gatebase discovers the backend workflows you’ve exposed.
Choose a workflow, define its public route, and enable MCP if you need it. Test as you build.
Deploy a version to Live, share access with your consumers, and follow every request.
03 / GOOD QUESTIONS
No. Gatebase connects to backend workflows exposed through Bubble’s Workflow API. You keep your business logic in Bubble and configure the public routes in Gatebase.
MCP lets compatible AI clients discover and call the workflows you choose to expose as tools. Access is tied to a consumer, just like your REST API.
Build and try your routes in Test. When you’re ready, publish a version to Live. Changes in Test do not change your published Live routes until you deploy them.
Gatebase controls API access and can inject a consumer’s tenant ID. Your Bubble workflows still need to check that tenant and enforce access to the right data.
YOUR NEXT CHAPTER
Your first endpoint is closer than you think.