Integration
Connect Featurebase to Amazon Rekognition
When New Comment fires in Featurebase, your agent runs Check Image for Unsafe Content in Amazon Rekognition. 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 Amazon Rekognition 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 Amazon Rekognition
When New Comment in Featurebase
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 Amazon Rekognition
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.
- Check Image for Unsafe Content
Checks an image stored in S3 for explicit, violent or otherwise unsafe content and returns any moderation labels found.
- Detect Faces in Image
Finds the faces in an image stored in S3 and returns, for each, its estimated age range, emotions and attributes such as glasses or a smile.
- Detect Objects and Scenes in Image
Returns the objects, scenes and concepts found in an image stored in S3, each with a confidence score.
- Detect Text in Image
Reads the words and lines of text that appear in an image stored in S3.
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 Amazon Rekognition
Questions
Featurebase and Amazon Rekognition, 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 Amazon Rekognition when something happens in Featurebase?
Any of Amazon Rekognition's 4 actions, including Check Image for Unsafe Content, Detect Faces in Image, Detect Objects and Scenes in Image and Detect Text in Image. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Amazon Rekognition to Featurebase?
Amazon Rekognition has no triggers in the catalog today, so automations start in Featurebase. If you need the other direction, ask: your agent reads Amazon Rekognition's API documentation and adds it.
Do I have to build a connector for Featurebase or Amazon Rekognition?
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 Amazon Rekognition 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.