Integration
Connect Casebook to Google Vertex AI
When New Case fires in Casebook, 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 Casebook 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 Casebook can start in Google Vertex AI
When New Case in Casebook
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 Casebook and Google Vertex AI
Triggers and actions 3 triggers · 26 actions
- New Case
Triggers when a new case is created in Casebook.
- New Intake Report
Triggers when a new intake report is created in Casebook.
- New Person
Triggers when a new person is created in Casebook.
- Add a Person to a Case
Adds a person to a Casebook case.
- Create a Case
Creates a new case in Casebook with a name, description and case type.
- Create an Intake Report
Creates a new intake report in Casebook with a name, narrative and report type.
- Create a Note
Creates a note in Casebook, optionally attached to a person, case or other record.
- Create a Person
Creates a new person in Casebook with their name and basic demographics.
- Create a Provider
Creates a new provider in Casebook with a name and contact details.
- Delete a Person
Deletes a person in Casebook. The record is hidden from view, not permanently purged.
- Find People
Finds Casebook people by first name, last name or date of birth and returns the first match.
- Get a Case
Returns one Casebook case by ID, including its name and description.
- Get an Intake Report
Returns one Casebook intake report by ID, including its name, narrative and when it was reported.
- Get a Person
Returns one Casebook person by ID, including name, date of birth and other demographics.
- Get a Provider
Returns one Casebook provider by ID, including its name, email and phone number.
- Update a Case
Updates a Casebook case's name, description or goals. Only the fields you fill in are changed.
- Update a Person
Updates a Casebook person's name or demographics. Only the fields you fill in are changed.
- 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
What our customers say
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Questions
Casebook and Google Vertex AI, answered
What can start an automation from Casebook?
Any of Casebook's 3 triggers in the catalog, including New Case, New Intake Report and New Person. 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 Casebook?
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 Casebook?
Google Vertex AI has no triggers in the catalog today, so automations start in Casebook. 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 Casebook 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 Casebook 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.