Integration
Connect Facebook Messenger to Google Vertex AI
When New Message Sent to Page fires in Facebook Messenger, your agent runs Analyze Document in Google Vertex 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 Facebook Messenger and Google Vertex 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 Facebook Messenger can start in Google Vertex AI
When New Message Sent to Page in Facebook Messenger
then Analyze Document in Google Vertex AI
When New Message Sent to Page in Facebook Messenger
then Send Prompt in Google Vertex 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 Facebook Messenger and Google Vertex AI
Triggers and actions 1 trigger · 20 actions
Trigger
New Message Sent to PageTriggers when someone sends your Facebook Page a new Messenger message.
Action
Get Conversation MessagesReturns the messages in one Messenger conversation of a Facebook Page, newest first.
Action
Get Message DetailsReturns one Messenger message sent to or from a Facebook Page.
Action
Get Page ConversationsLists a Facebook Page's Messenger conversations, newest first.
Action
Get User PagesRetrieves a list of pages the user manages, including tasks and access tokens.
Action
Mark Message SeenMarks a person's latest Messenger message to a Facebook Page as seen.
Action
Send Media MessageSends an image, video, audio clip or file over Messenger from a Facebook Page to a person who has messaged the Page.
Action
Send MessageSends a Messenger text message from a Facebook Page to a person who has messaged the Page.
Action
Toggle Typing IndicatorShows or hides the typing indicator in a person's Messenger conversation with a Facebook Page.
Action
Analyze DocumentAnalyzes a document (PDF, image, or text file) using Gemini Vision to extract insights, summaries, or structured data.
Action
Analyze Text SentimentAnalyzes text for positive or negative sentiment.
Action
Classify TextClassify some text from amongst a list of categories.
Action
ConversationSends a chat message, optionally storing messages as you go.
Action
Count TokensReturns how many tokens a prompt uses for a Gemini model on Vertex AI.
Action
Generate CodeGenerates, explains, refactors, debugs, or converts code using AI. Supports multiple programming languages.
Action
Generate EmbeddingsGenerates vector embeddings for text. Useful for semantic search, RAG, and similarity comparisons.
Action
Generate ImageGenerates an image from a prompt.
Action
Send PromptSends a prompt and generates a completion.
Action
Summarize TextSummarizes text.
Action
Translate TextTranslates text between languages using AI with support for different tones and styles.
Action
Write an EmailWrites the content of an email based on your provided prompt for use in a subsequent step.
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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Questions
Facebook Messenger and Google Vertex AI, answered
What can start an automation from Facebook Messenger?
Any of Facebook Messenger's 1 trigger in the catalog, including New Message Sent to Page. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Google Vertex AI when something happens in Facebook Messenger?
Any of Google Vertex AI's 12 actions, including Send Prompt, Analyze Document, Analyze Text Sentiment and Classify Text. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Google Vertex AI to Facebook Messenger?
Google Vertex AI has no triggers in the catalog today, so automations start in Facebook Messenger. If you need the other direction, ask: your agent reads Google Vertex AI's API documentation and adds it.
Do I have to build a connector for Facebook Messenger or Google Vertex 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 Facebook Messenger and Google Vertex 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.