Integration
Connect ComplyCube to Google Vertex AI
When Check Completed fires in ComplyCube, 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 ComplyCube 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 ComplyCube can start in Google Vertex AI
When Check Completed in ComplyCube
then Analyze Document 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 ComplyCube and Google Vertex AI
Triggers and actions 2 triggers · 51 actions
- Check Completed
Triggers when a new check is received.
- New Event
Triggers when a new event is received.
- Add Note
Add a note to a client for investigations, reviews, or compliance reporting.
- Create Address
Creates a new address for a client.
- Create Check
Create a verification check (identity, document, AML, or other check type) against a client.
- Create Client
Updates clients details using the given input.
- Create Document
Creates a new document for a client.
- Create Session
Creates a verification session link using workflow templates.
- Delete Address
Deletes an existing address.
- Delete Client
Deletes an existing client.
- Delete Document
Deletes an existing document.
- Delete Note
Delete a note.
- Find Addresses
Search and verify an address for KYC address checks.
- Find Companies
Search for companies by name or registration details for KYB checks.
- Generate Check Report
Generate a PDF report for a specific check.
- Generate Client Report
Generate a PDF report summarizing a client's compliance record.
- Generate Session Report
Generates a session report PDF and returns it as a file for use in later Zap steps.
- Generate Token
Generate an SDK token to securely authenticate a frontend user session.
- Get Address
Retrieves an address using "Address ID".
- Get Check Results
Retrieves a check's results using "Check ID".
- Get Client
Retrieves a client's results using "Client ID".
- Get Company Details
Retrieve detailed information about a company by its ID.
- Get Document
Retrieves a document using "Document ID".
- Get Live Photo
Retrieve a client's live photo by ID.
- Get Note
Retrieve a note by ID.
- Get Risk Profile
Retrieve a client's AML risk profile and score.
- Get Session Results
Retrieves a session's results using "Session ID".
- List Addresses
List addresses linked to a client.
- List Checks
List checks performed on a client.
- List Clients
List clients with optional filters and pagination.
- List Documents
List documents linked to a client.
- List Live Photos
List a client's live photos.
- List Notes
List notes linked to a client.
- List Workflow Sessions
List a client's workflow sessions.
- Update Address
Updates an existing address.
- Update Check
Update an existing check's parameters.
- Update Client
Updates clients details using the given input.
- Update Document
Updates an existing document.
- Update Note
Update an existing note.
- Upload Document Image
Uploads an image attachment (front or back) to an existing document.
- Upload Live Photo
Upload a client's live photo (selfie) for biometric identity and liveness verification.
- Analyze Document
Analyzes a document (PDF, image, or text file) using Gemini Vision to extract insights, summaries, or structured data.
- Analyze Text Sentiment
Analyzes text for positive or negative sentiment.
- Classify Text
Classify some text from amongst a list of categories.
- Conversation
Sends a chat message, optionally storing messages as you go.
- Count Tokens
Returns how many tokens a prompt uses for a Gemini model on Vertex AI.
- Generate Code
Generates, explains, refactors, debugs, or converts code using AI. Supports multiple programming languages.
- Generate Embeddings
Generates vector embeddings for text. Useful for semantic search, RAG, and similarity comparisons.
- Generate Image
Generates an image from a prompt.
- Send Prompt
Sends a prompt and generates a completion.
- Summarize Text
Summarizes text.
- Translate Text
Translates text between languages using AI with support for different tones and styles.
- Write an Email
Writes 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
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Questions
ComplyCube and Google Vertex AI, answered
What can start an automation from ComplyCube?
Any of ComplyCube's 2 triggers in the catalog, including Check Completed and New Event. 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 ComplyCube?
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 ComplyCube?
Google Vertex AI has no triggers in the catalog today, so automations start in ComplyCube. 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 ComplyCube 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 ComplyCube 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.