Can my agent scale my Dokku processes automatically?

Yes. Use the 'ps_scale' tool. You can specify the application name and the target replica count for processes like 'web' or 'worker'. The agent will manipulate the explicit counts within your Dokku cluster instantly.

How do I update environment variables via chat?

Use the 'set_config' tool. Provide the app name, key, and value. The agent will inject the pair into the Docker environment mapping, which typically triggers a rolling deployment to apply the new configuration safely.

Can I run database migrations through the agent?

Absolutely. Use the 'run_command' tool. It boots an ephemeral isolated container cloning your production image, allowing you to run maintenance commands like 'rake db:migrate' or custom scripts without affecting live traffic.

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

Name: Dokku
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 Dokku as an MCP tool provider through 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="dokku_agent",
    instruction=(
        "You help users interact with Dokku "
        "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 Dokku MCP Server

Connect your Dokku instance to any AI agent and take full control of your self-hosted PaaS and container orchestration through natural conversation.

Google ADK natively supports Dokku 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

Application Lifecycle — List all managed apps and retrieve the overarching directory of deployments on your own infrastructure bypassing standard PaaS fees
Provisioning & Deallocation — Barely instantiate new application repositories or irreversibly dismantle all bound containers and DNS routing records
Environment Auditing — Retrieve the exact .env dictionary bound dynamically via the config plugin to observe runtime inputs and SQL credentials
Configuration Mutation — Inject or remove sensitive environment variables securely, triggering rolling app deployments natively across your cluster
Process Scaling — Manipulate explicit replica counts dynamically, determining whether web or worker containers spool up to meet demand
Live Log Streaming — Pull precise system execution tails to investigate explicit request stack traces and crashing node backtraces without SSH
One-off Executions — Launch raw commands inside ephemeral isolated containers for maintenance tasks like DB migrations or custom scripts

The Dokku 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 Dokku to Google ADK via MCP

Follow these steps to integrate the Dokku 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 Dokku via MCP

Why Use Google ADK with the Dokku MCP Server

Google ADK provides unique advantages when paired with Dokku 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 Dokku

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 Dokku tools with BigQuery, Vertex AI, and Cloud Functions

Dokku + Google ADK Use Cases

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

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

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

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

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

Dokku MCP Tools for Google ADK (10)

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

create_app

Performs the structural network allocations setting up reverse-proxy hooks (Nginx/Traefik) preceding the actual codebase transfer. Provision a root App boundary wrapper on the Dokku VM

destroy_app

Instantly shuts down bound running docker containers orchestrating web/worker traffic, detaches volumes seamlessly, and removes explicit DNS routing records from the local VHOST mappings. Deallocate an App and dismantle all bound containers completely

get_logs

Bypasses SSH to investigate explicit request stack traces, crashing node backtraces, or slow SQL queries happening inside the closed containers. Stream Dokku Application Docker stdout and stderr logs

list_apps

Determines exactly which Docker containers are orchestrated internally by Dokku Core scaling plugins. List self-hosted Git-push Apps deployed via Dokku

list_config

env` or `ENV` dictionary bound dynamically via the `dokku config` plugin. Used strictly to observe runtime inputs (SQL credentials, external REST API tokens, Node_ENV bindings) governing app execution. Extract internal Environment variables loaded into the App

ps_restart

Dokku tears down old running docker processes spanning the App UUID, allocating updated dynamic ports tied via standard proxies (Nginx), ensuring zero downtime deploys if multiple replicas are alive. Bounce the application container dynamically

ps_scale

Determines whether the "web" container spins zero replicas (suspension), or if "worker" background tasks spool up to 10 endpoints. Scale structural internal application containers

run_command

Boots a brand new isolated Docker container cloning the production image layers for a single execution cycle. Useful for running `rake db:migrate`, `npm run script` safely disconnected from web traffic. Launch a raw one-off command inside an ephemeral container

set_config

Triggers a mandatory rolling app deployment unless the `--no-restart` daemon flag applies natively to the process. Critical for updating expired API auth tokens. Inject Environment Variables into a running Dokku Application

unset_config

Immediately triggers the executing Docker cluster to orchestrate a rapid replacement cycle to strip out the revoked value. Removes stale credentials safely. Remove sensitive Environment Variables disrupting App config

Example Prompts for Dokku in Google ADK

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

"List all apps on my Dokku host"

"Scale the 'web' process of app 'api-server' to 3 replicas"

"Get the last 50 lines of logs for 'frontend-web'"

Troubleshooting Dokku MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Dokku + Google ADK FAQ

Common questions about integrating Dokku 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.