# Connect Felt to Google Cloud Vision When **New or updated map** fires in [Felt](https://apiant.ai/connections/felt), your agent runs **Check Image Safety** in [Google Cloud Vision](https://apiant.ai/connections/google-cloud-vision). Describe the whole flow and it is built, tested on every scenario and kept running. Felt **1** trigger Google Cloud Vision **4** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Felt and Google Cloud Vision to do together? Give your AI client this address. `https://mcp.apiant.ai` One 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.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) Example flows ## What Felt can start in Google Cloud Vision - When **New or updated map** in Felt then **Check Image Safety** in Google Cloud Vision - When **New or updated map** in Felt then **Detect Faces** in Google Cloud Vision 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 Felt and Google Cloud Vision ## Triggers and actions 1 trigger · 4 actions - Trigger **New or updated map** Fires when a map is created or edited (annotations drawn/edited, layers updated, comments added/resolved). Delivered via Felt's map:update webhook, attached per-map and created in Felt workspace settings UI (no REST endpoint to register it); verify the felt-signature HMAC header. See /rest-api/listening-to-updates-using-webhooks. - Action **Check Image Safety** Rates an image from a web address for adult, violent, racy, medical and spoof content (SafeSearch). - Action **Detect Faces** Finds the faces in an image from a web address and returns, for each face, its likely emotions (joy, sorrow, anger, surprise) and detection confidence. - Action **Detect Labels** Analyzes an image from a web address and returns labels describing what it shows (objects, scenes, activities) with confidence scores. - Action **Extract Text from Image** Reads the text in an image from a web address (OCR) and returns the full text found. ## Each app on its own - [ **Felt** Cloud-based GIS platform for creating interactive maps and dashboards from geospatial and database data.](https://apiant.ai/connections/felt) - [ **Google Cloud Vision** Image recognition API that detects objects, faces, text (OCR), labels, and landmarks in photos.](https://apiant.ai/connections/google-cloud-vision) Reviews ## What our customers say ## More from Felt - [ **Felt to capture** capture is a service that is your AI's long-term memory.](https://apiant.ai/connect/felt-to-capture) - [ **Felt to Mapbox** Mapping and geolocation platform offering interactive maps, geocoding, routing, and navigation APIs.](https://apiant.ai/connect/felt-to-mapbox) - [ **Felt to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/felt-to-hubspot) - [ **Felt to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/felt-to-salesforce) - [ **Felt to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/felt-to-slack) - [ **Felt to Google Sheets** Google Sheets](https://apiant.ai/connect/felt-to-google-sheets) ## More into Google Cloud Vision - [ **HubSpot to Google Cloud Vision** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-google-cloud-vision) - [ **Salesforce to Google Cloud Vision** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-google-cloud-vision) - [ **Slack to Google Cloud Vision** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-google-cloud-vision) - [ **Google Sheets to Google Cloud Vision** Google Sheets](https://apiant.ai/connect/google-sheets-to-google-cloud-vision) - [ **Gmail to Google Cloud Vision** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-google-cloud-vision) - [ **Google Calendar to Google Cloud Vision** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-google-cloud-vision) Questions ## Felt and Google Cloud Vision, answered ### ### What can start an automation from Felt? Any of Felt's 1 trigger in the catalog, including New or updated map. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Google Cloud Vision when something happens in Felt? Any of Google Cloud Vision's 4 actions, including Check Image Safety, Detect Faces, Detect Labels and Extract Text from Image. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Google Cloud Vision to Felt? Google Cloud Vision has no triggers in the catalog today, so automations start in Felt. If you need the other direction, ask: your agent reads Google Cloud Vision's API documentation and adds it. ### ### Do I have to build a connector for Felt or Google Cloud Vision? 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 Felt and Google Cloud Vision without building an automation? Yes. With your AI client connected to APIANT, ask it to do something in Google Cloud Vision 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.