Can my agent trigger a new deployment for a Coolify application?

Yes. Use the 'trigger_deployment' tool with the application UUID. The agent will initiate a full build pipeline, fetching the latest commit and rolling out the updated version directly on your server.

How do I retrieve the internal connection string for a managed database?

Provide the database UUID to the 'get_database' tool. Your agent will extrapolate the internal network URI (e.g., for PostgreSQL or MySQL), allowing you to securely link your apps without external port exposure.

Can I restart an application to apply new environment variables?

Absolutely. Use the 'restart_application' tool. The agent will execute an overlapping bounce, destroying old instances and initializing fresh replicas with the latest configuration and environment variables.

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

Name: Coolify
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 Coolify 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({
        "coolify": {
            "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 Coolify, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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 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.

LangChain's ecosystem of 500+ components combines seamlessly with Coolify 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

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 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 Coolify to LangChain via MCP

Follow these steps to integrate the Coolify 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 Coolify via MCP

Why Use LangChain with the Coolify MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Coolify 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 Coolify queries for multi-turn workflows

Coolify + LangChain Use Cases

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

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

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

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

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

Coolify MCP Tools for LangChain (10)

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

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

get_database

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

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

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

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

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

restart_application

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

start_application

Spin up containers mapped to a suspended Application UUID

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

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 LangChain

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

"List all active servers in my Coolify instance"

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

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

Troubleshooting Coolify MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Coolify + LangChain FAQ

Common questions about integrating Coolify 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.