Deno Deploy MCP Server for Google ADKGive Google ADK instant access to 15 tools to Create App, Create Deployment, Create Layer, and more

Name: Deno Deploy
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

Ask AI about this MCP Server for Google ADK

Open in ChatGPT Open in Claude Open in Perplexity

The Deno Deploy MCP Server for Google ADK is a standout in the Ship It category — giving your AI agent 15 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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="deno_deploy_agent",
    instruction=(
        "You help users interact with Deno Deploy "
        "using 15 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 Deno Deploy MCP Server

Connect your Deno Deploy account to any AI agent to orchestrate your edge computing infrastructure through natural conversation. This server provides comprehensive tools for managing the lifecycle of your serverless applications.

Google ADK natively supports Deno Deploy as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 15 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

App Management — List all applications within your organization, filter by labels, and fetch detailed configurations for specific apps.
Deployment Lifecycle — Create new deployments (revisions) by uploading assets, and track their progress in real-time.
Log Observability — Stream build logs for new revisions or query historical application logs with advanced filtering by level and time.
Infrastructure Layers — Manage shared environment variables and configurations using layers to streamline multi-app setups.
Domain & Project Insights — Inspect organization details, list associated domains, and manage project-specific deployments.

update

Update layer on Deno Deploy

Update an existing layer

Connect Deno Deploy to Google ADK via MCP

Follow these steps to wire Deno Deploy into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 15 tools from Deno Deploy via MCP

Why Use Google ADK with the Deno Deploy MCP Server

Google ADK provides unique advantages when paired with Deno Deploy 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 Deno Deploy

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 Deno Deploy tools with BigQuery, Vertex AI, and Cloud Functions

Deno Deploy + Google ADK Use Cases

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

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

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

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

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

Example Prompts for Deno Deploy in Google ADK

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

"List all my Deno Deploy apps and show their current status."

"Show me the last 50 error logs for the app 'api-gateway'."

"Check the deployment progress for revision ID 7e8f9a0b."

Troubleshooting Deno Deploy MCP Server with Google ADK

Common issues when connecting Deno Deploy to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Deno Deploy + Google ADK FAQ

Common questions about integrating Deno Deploy 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.