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 OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Dokku
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Dokku through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Dokku Assistant",
            instructions=(
                "You help users interact with Dokku. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Dokku"
        )
        print(result.final_output)

asyncio.run(main())

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.

The OpenAI Agents SDK auto-discovers all 10 tools from Dokku through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dokku, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Dokku MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Dokku

Why Use OpenAI Agents SDK with the Dokku MCP Server

OpenAI Agents SDK provides unique advantages when paired with Dokku through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Dokku + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Dokku MCP Server delivers measurable value.

Automated workflows: build agents that query Dokku, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Dokku, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Dokku tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Dokku to resolve tickets, look up records, and update statuses without human intervention

Dokku MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Dokku to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Dokku to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Dokku + OpenAI Agents SDK FAQ

Common questions about integrating Dokku MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.