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 LangChain 10 tools — connect in under 2 minutes

Name: Dokku
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Dokku through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "dokku": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Dokku, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Ed25519Audit chain

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Dokku through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Dokku MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Dokku via MCP

Why Use LangChain with the Dokku MCP Server

LangChain provides unique advantages when paired with Dokku through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Dokku MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Dokku queries for multi-turn workflows

Dokku + LangChain Use Cases

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

RAG with live data: combine Dokku tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Dokku, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Dokku tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Dokku tool call, measure latency, and optimize your agent's performance

Dokku MCP Tools for LangChain (10)

These 10 tools become available when you connect Dokku to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Dokku + LangChain FAQ

Common questions about integrating Dokku MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.