Skip to main content Announcing Tool Gateway MCP: the universal MCPRead the announcement

Vertex AI MCP Server

Turn Vertex AI into an enterprise agent

Let your employees delegate real work to Vertex AI across all their apps, under their own identity and permissions.

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Get Vertex AI to work.
Not just chat.

One connection to StackOne, and Vertex AI gets scoped access to every app your employees use, to act on their behalf.

Connect

Make every system AI-ready

Give your AI access to 520+ managed MCP servers and 32,000+ tested tools. No auth code to write, no API maintenance.

Secure

Keep AI under control

Enforce identity-based access, screen every response for prompt injection, and audit every action.

Execute

Trust what AI delivers

Keep your agent sharp with lean tool loading and boost reliability with the Falcon execution engine. Pre-synced data for faster context is coming soon.

Roll out MCP tools to every Vertex AI agent.
Set up and onboard in minutes.

One-time setup for IT. Self-serve for everyone else.

IT Admin

One-time setup, no per-user wiring.

Vertex AI is wired in code rather than from a settings screen: pass the MCPToolset as a tool on your LlmAgent and deploy via Agent Engine. Every agent in the GCP project then has it.

MCP client setup guide

Connect Vertex AI to
any Enterprise MCP server

One MCP gateway, 520+ pre-built SaaS connectors Vertex AI can act on right away.

Need another connector? Build one with the AI Connector Builder

Get Vertex AI
to do more across your stack

Cross-app workflows your Vertex AI agent now runs in seconds instead of click-throughs.

Customer 360

> Pull Salesforce account context and join it with BigQuery product usage for the next-best action.

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HR & Workforce

> Reconcile Workday hires with their GitHub access in seconds.

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Finance & Billing

> Reconcile Stripe revenue with the NetSuite GL for month-end close.

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Engineering & DevOps

> Open a Linear ticket from a Sentry alert and notify the on-call channel.

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Not everyone on Vertex AI?
Your integration layer stays the same.

The same setup works across AI cloud platforms like Bedrock, watsonx Orchestrate, and every other MCP client.

Explore MCP clients

Vertex AI Resources

The Best MCP Gateways in 2026, Compared

We compared 12 MCP gateways — StackOne, Zapier, Composio, Microsoft, Docker and more — on auth, multi-tenancy, governance, and pricing. Updated June 2026.

11 min

OAuth for AI Agents: How It Works and the Benefits of Owning the OAuth App

OAuth for AI agents, explained: how applications and authorizations work for agentic execution in production, and why owning your own OAuth app matters.

5 min read

Frequently Asked Questions

You connect Vertex AI to the StackOne MCP gateway through the Agent Development Kit: wrap the StackOne gateway URL in an MCPToolset with StreamableHTTPConnectionParams, pass it as a tool on your LlmAgent, and deploy via Agent Engine. See the ADK MCP docs. Now part of Gemini Enterprise Agent Platform.
You can connect Vertex AI to 520+ live MCP servers through StackOne, spanning CRM, HRIS, ATS, ticketing, and finance — Salesforce, Workday, Greenhouse, and more. Each is reachable through one gateway URL instead of wiring up servers app by app. Browse the full list in the directory on this page, or build your own.
Google's first-party MCP servers cover Google-owned data (BigQuery, Maps, Cloud SQL via MCP Toolbox, plus Apigee adapters). StackOne adds the other 520+ operational SaaS — every app reachable through one MCPToolset instead of one per app, auth managed once in the dashboard, and tool definitions loaded only when relevant to the prompt.
Credentials sit at three layers: your StackOne API token (embedded in the gateway URL passed to StreamableHTTPConnectionParams headers, stored as a Secret Manager secret in your GCP project), SaaS connector credentials (server-side in your StackOne dashboard), and per-user OAuth tokens scoped to what each person authorized.

Connect All Your Apps to Vertex AI.

One MCP gateway, 520+ pre-built SaaS connectors. Set up in 5 minutes.