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

Built by Vinkius GDPR 10 Tools SDK

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

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="coolify_agent",
    instruction=(
        "You help users interact with Coolify "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Coolify
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 Coolify MCP Server

Connect your Coolify instance to any AI agent and take full control of your self-hosting and private cloud workflows through natural conversation.

Google ADK natively supports Coolify as an MCP tool provider. declare 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

  • Server Monitoring — List self-hosted nodes and retrieve intricate networking parameters including IP properties and Docker swarm statuses
  • Application Management — List all managed frontend/backend apps and fetch elaborate internal topology metrics like mapped GitHub branches and Traefik proxy paths
  • Lifecycle Control — Start, stop, and restart applications natively, allowing you to recycle container states and apply configuration updates instantly
  • Deployment Automation — Trigger raw build pipelines to fetch the latest commits, rebuild Nixpacks images, and roll out updated Docker versions
  • Database Oversight — Manage PostgreSQL, MySQL, and Redis configurations and extrapolate internal connection strings for secure application linking
  • Resource Navigation — asociating Project repositories to explicit application UUIDs required for downstream mutations and operational auditing

The Coolify 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 Coolify to Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from Coolify via MCP

Why Use Google ADK with the Coolify MCP Server

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

01

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

02

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

03

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

04

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

Coolify + Google ADK Use Cases

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

01

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

02

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

03

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

04

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

Coolify MCP Tools for Google ADK (10)

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

01

get_application

Examines mapped GitHub branches, automatic rollout toggles (push to deploy), and assigned Traefik reverse proxy FQDN paths. Fetch elaborate internal topology metrics for a given Application

02

get_database

Highly required when linking newly provisioned Web Apps to Backend Datastores. Extrapolate internal configuration arrays for a Database

03

get_server

Verifies IP properties, SSH connection validation statuses, and Docker executing ports resolving across the cluster. Get configuration schema mapped to a specific Coolify Server Node

04

list_applications

Generates the crucial map associating Project repositories to explicit application UUIDs required for downstream mutations (like restarting and stopping). List all frontend/backend Applications actively managed by Coolify

05

list_databases

Isolates database bounding boxes mapping to applications so you can properly retrieve Connection Strings and backup cadence timelines. List managed PostgreSQL, MySQL, and Redis configurations

06

list_servers

Used to identify the raw physical endpoints running Docker swarms that host subsequent applications. List all self-hosted Server Nodes attached to Coolify

07

restart_application

Ensures updated config `.env` variables injected via Coolify take effect immediately in runtime RAM. Bounce a Coolify application recycling its container states

08

start_application

Spin up containers mapped to a suspended Application UUID

09

stop_application

Used precisely for pausing billing or restricting web perimeter ingress during a cyber incident directly via the Coolify dashboard API. Halt execution algorithms suspending the mapped Application

10

trigger_deployment

Performs `git fetch`, rebuilds Nixpacks images, caches dependencies, and rolls the updated Docker image out directly over the previous active application version. Trigger a raw build pipeline fetching the latest Git commit

Example Prompts for Coolify in Google ADK

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

01

"List all active servers in my Coolify instance"

02

"Trigger a deployment for application 'backend-api'"

03

"What is the connection string for database 'user-db-prod'?"

Troubleshooting Coolify MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Coolify + Google ADK FAQ

Common questions about integrating Coolify MCP Server with Google ADK.

01

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.
02

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.
03

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.

Connect Coolify to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.