Vercel MCP Server for Google ADKGive Google ADK instant access to 11 tools to Add Vercel Environment Variable, Create Vercel Deployment, Delete Vercel Deployment, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Vercel as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Vercel app connector for Google ADK is a standout in the Loved By Devs category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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_extended_agent",
instruction=(
"You help users interact with Vercel "
"using 11 available tools."
),
tools=[mcp_tools],
)
* 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
Connect your Vercel account to any AI agent and simplify how you manage your cloud infrastructure, frontend deployments, and serverless projects through natural conversation.
Google ADK natively supports Vercel as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 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 Management — List all projects in your account or team and retrieve detailed configuration metadata.
- Deployment Control — Track build history, check deployment status (READY, ERROR, BUILDING), and trigger new builds or delete old records.
- Domain Configuration — List all registered domains and link custom domains to specific projects instantly.
- ENV Management — List and create environment variables for your projects to manage secrets and configurations safely.
- Team Visibility — Query accessible teams and retrieve your user profile details to understand your permissions.
The Vercel MCP Server exposes 11 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.
All 11 Vercel tools available for Google ADK
When Google ADK connects to Vercel through Vinkius, your AI agent gets direct access to every tool listed below — spanning frontend-deployment, serverless-functions, edge-computing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a new environment variable
Create a new deployment
Delete a specific deployment
Get details for a specific deployment
Get details for a specific project
Get current user profile
List all account domains
List recent deployments
List environment variables
List all Vercel projects
List accessible Vercel teams
Connect Vercel to Google ADK via MCP
Follow these steps to wire Vercel into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
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
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 active projects in my Vercel team."
"Show me the status of the latest deployment for 'vinkius-app'."
"Add the environment variable 'DB_PASSWORD' to the project 'api-gateway'."
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
pip install --upgrade google-adkVercel + Google ADK FAQ
Common questions about integrating Vercel MCP Server with Google ADK.