Integration
Connect Featurebase to Google Cloud Document Ai
When New Comment fires in Featurebase, your agent runs Process Document from Base64 Content in Google Cloud Document Ai. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Featurebase and Google Cloud Document Ai to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Featurebase can start in Google Cloud Document Ai
When New Comment in Featurebase
then Process Document from Base64 Content in Google Cloud Document Ai
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Featurebase and Google Cloud Document Ai
Triggers and actions 2 triggers · 12 actions
- New Comment
Triggers when a new comment is posted on a post or changelog.
- New Post
Triggers when a new post (feature request or feedback) is created on any board.
- Create Changelog
Creates a changelog entry announcing a product update, as a draft or live.
- Create or Update Contact
Creates a contact, or updates the existing one with the same email or user ID.
- Create Post
Creates a new post (feature request or feedback) on a Featurebase board.
- Delete Post
Permanently deletes a post.
- Get Post
Returns one post (feature request) by its ID.
- List Boards
Returns all feedback boards in the workspace.
- Update Post
Updates a post's title, content, board, ETA or visibility.
- Upvote Post
Adds a person as an upvoter on a post.
- Get Processor
Returns one Document AI processor by its ID.
- List Processors
Returns the Document AI processors in a Google Cloud project and location.
- Process Document from Base64 Content
Runs a Document AI processor on base64-encoded file content and returns the extracted text and entities.
- Process Document from Cloud Storage
Runs a Document AI processor on a file stored in Google Cloud Storage and returns the extracted text and entities.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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More into Google Cloud Document Ai
Questions
Featurebase and Google Cloud Document Ai, answered
What can start an automation from Featurebase?
Any of Featurebase's 2 triggers in the catalog, including New Comment and New Post. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Google Cloud Document Ai when something happens in Featurebase?
Any of Google Cloud Document Ai's 4 actions, including Get Processor, List Processors, Process Document from Base64 Content and Process Document from Cloud Storage. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Google Cloud Document Ai to Featurebase?
Google Cloud Document Ai has no triggers in the catalog today, so automations start in Featurebase. If you need the other direction, ask: your agent reads Google Cloud Document Ai's API documentation and adds it.
Do I have to build a connector for Featurebase or Google Cloud Document Ai?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Featurebase and Google Cloud Document Ai without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.