Integration
Connect Process Street to Google Vertex AI
When New Comment Attachment fires in Process Street, 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 Process Street 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 Process Street can start in Google Vertex AI
When New Comment Attachment in Process Street
then Analyze Document in Google Vertex AI
When New Task Checked in Process Street
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 Process Street and Google Vertex AI
Triggers and actions 4 triggers · 21 actions
Trigger
New Comment AttachmentTriggers when someone attaches a file to a comment in a workflow run.
Trigger
New Task CheckedTriggers when a task is checked off in a workflow.
Trigger
New Workflow RunTriggers when a workflow is run.
Trigger
Task ReadyTriggers when a task is ready to be worked on.
Action
Create Data Set RecordAdds a new record to a data set.
Action
Delete Data Set RecordDeletes an existing record in a data set.
Action
Find Data Set RecordsSearch for data set records by form fields.
Action
Find Workflow RunSearch for a workflow run by ID, name, form fields, and other attributes.
Action
List Workflow Run Taskslists all tasks (id, name, status, dueDate) in one workflow run. Read-only; supplies the task id the Update Task action needs.
Action
Run WorkflowRuns a workflow.
Action
Update Data Set RecordUpdates an existing record in a data set.
Action
Update TaskUpdate a task in a workflow run.
Action
Update Workflow RunUpdate an existing workflow run.
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
Process Street and Google Vertex AI, answered
What can start an automation from Process Street?
Any of Process Street's 4 triggers in the catalog, including New Comment Attachment, New Task Checked, New Workflow Run and Task Ready. 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 Process Street?
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 Process Street?
Google Vertex AI has no triggers in the catalog today, so automations start in Process Street. 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 Process Street 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 Process Street 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.