Integration
Connect Float to Google Vertex AI
When New Allocation fires in Float, 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 Float and Google Vertex AI to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Float can start in Google Vertex AI
When New Allocation in Float
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 Float and Google Vertex AI
Triggers and actions 15 triggers · 33 actions
- New Allocation
Triggers when a new allocation is created.
- New Client
Triggers when a new client is added.
- New Department
Triggers when a new department is added.
- New Logged Time
Triggers when a new logged time is created.
- New Milestone
Triggers when a new milestone is created.
- New Person
Triggers when a new person is added.
- New Phase
Triggers when a new phase is created.
- New Project
Triggers when a new project is created.
- New Project Task
Triggers when a new project task is created.
- New Time Off
Triggers when a new time off is created.
- Updated Allocation
Triggers when an allocation is modified.
- Updated Logged Time
Triggers when a logged time is modified.
- Updated Phase
Triggers when a phase is modified.
- Updated Project
Triggers when a project is modified.
- Updated Project Task
Triggers when a project task is modified.
- Create Allocation
Creates a new allocation.
- Create Client
Creates a new client.
- Create Department
Creates a new department.
- Create Logged Time
Creates a new logged time.
- Create Milestone
Creates a new milestone.
- Create Person
Creates a new person.
- Create Phase
Creates a new phase.
- Create Project
Creates a new project.
- Create Project Task
Creates a new project task.
- Create Time Off
Creates a new time off.
- Find Allocation
Finds an allocation by ID.
- Find Logged Time
Finds a logged time by ID.
- Find Person
Finds a person by ID, email, or tag(s).
- Find Project
Finds a project by ID, project_code, or tag(s).
- Update Allocation
Update an existing allocation by ID.
- Update Logged Time
Update an existing logged time entry by ID.
- Update Milestone
Update an existing milestone by ID.
- Update Person
Update an existing person by ID.
- Update Phase
Update an existing phase by ID.
- Update Project
Update an existing project by ID.
- Update Project Task
Update an existing project task by ID.
- 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
Float and Google Vertex AI, answered
What can start an automation from Float?
Any of Float's 15 triggers in the catalog, including New Allocation, New Client, New Department and New Logged Time. 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 Float?
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 Float?
Google Vertex AI has no triggers in the catalog today, so automations start in Float. 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 Float 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.
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.