Can I cancel a stuck Vercel deployment directly from my chat window?

Yes. If a build hangs, simply find its ID via `list_deployments` and tell the agent: `Abort the deployment execution 'dpl_9B...'`. The `cancelDeploymentTool` intercepts and kills the remote CI task instantly.

How do I get the Preview URL of a newly built branch?

Instruct the AI manually: `Grab the deployment details for 'dpl_xx3'`. Using the `getDeploymentTool`, the agent will output the associated generated live `url` property for you to click without going to the dashboard notifications.

Can I spin up an empty Vercel project programmatically through the agent before I even connect my repository?

Yes. Run the prompt: `Create a new Next.js project on Vercel named 'test-saas'`. The agent initiates `createProjectTool`, and Vercel will instantly return its new unique Project GUID, ready to be linked to code whenever you wish.

Vercel MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Vercel
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Vercel as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="vercel_agent",
    instruction=(
        "You help users interact with Vercel "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Vercel MCP Server

Embed your Vercel continuous integration ecosystem into the mind of your AI agent. Perform advanced DevOps commands via chat, bypassing the Vercel web UI and checking application states natively within your IDE.

Google ADK natively supports Vercel as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Project Control — Command your assistant to list your current architecture portfolio, examine Git environment settings, or spin up new Vercel boundary projects dynamically from the chat window.
Deployment Management — Trace live builds. Request the active CI/CD execution status on recent commits, fetch preview URLs upon build completion, or ruthlessly cancel stalled serverless compilations.
Manual Deploy Triggers — Skip the Github pushes. You can explicitly command a forced build on specific repository tags directly through the MCP integration when hot-fixing.
Domain Auditing — Ask the agent to map out the DNS and SSL status of your custom root domains, parsing current subdomain routing alias tables clearly.

The Vercel MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Vercel to Google ADK via MCP

Follow these steps to integrate the Vercel MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Vercel via MCP

Why Use Google ADK with the Vercel MCP Server

Google ADK provides unique advantages when paired with Vercel through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Vercel

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Vercel tools with BigQuery, Vertex AI, and Cloud Functions

Vercel + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Vercel MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Vercel and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Vercel tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Vercel regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Vercel

Vercel MCP Tools for Google ADK (10)

These 10 tools become available when you connect Vercel to Google ADK via MCP:

cancel_active_build

Aborts an ongoing Vercel compilation pipeline

create_project

Provide a name and framework slug. Creates a new Vercel project

delete_project

This action is irreversible. Permanently removes a Vercel project

get_deployment_details

Retrieves details for a specific deployment execution

get_project_details

Retrieves detailed configuration for a specific project

list_account_domains

Lists high-level apex domains managed by Vercel

list_deployments

Lists recent CI/CD builds for a specific project

list_project_aliases

Lists specific subdomain routing mappings for a project

list_projects

Lists all Vercel projects in the account

trigger_github_deployment

Provide the project name and Git ref. Triggers a new Vercel build from a specific GitHub reference

Example Prompts for Vercel in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Vercel immediately.

"List all root domains connected to my Vercel infrastructure."

"Create a manual deploy on the 'billing-service' project pulling directly from the 'main' branch on GitHub repo '341xyz'."

"Check the status of deployment 'dpl_827a' and give me its exact live preview URL if ready."

Troubleshooting Vercel MCP Server with Google ADK

Common issues when connecting Vercel to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Vercel + Google ADK FAQ

Common questions about integrating Vercel MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.