LangChainFramework

Portainer MCP Server

Bring Docker
to LangChain

Name: Portainer MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect Portainer to LangChain and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Add EndpointAuthenticateCreate Docker ContainerInit AdminList Docker ContainersStart Docker Container

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the Portainer MCP Server?

Connect your Portainer instance to any AI agent and orchestrate your containerized infrastructure through natural conversation.

What you can do

Container Management — List all Docker containers in any environment, create new ones from images, and start existing containers.
Environment Orchestration — Add and manage new local or remote Docker/Kubernetes environments (endpoints) to your Portainer setup.
Admin Control — Initialize admin accounts on fresh installations and authenticate to receive secure JWT tokens.
Configuration Control — Deploy containers with custom configurations, including exposed ports and host settings via JSON.

How it works

Subscribe to this server
Enter your Portainer URL and API Key
Start managing your devops infrastructure from Claude, Cursor, or any MCP-compatible client

Who is this for?

DevOps Engineers — quickly check container statuses and restart services without leaving the terminal or chat.
Developers — deploy new testing environments or images directly from the code editor.
System Administrators — manage multiple remote environments and endpoints through a unified AI interface.

Built-in capabilities (6)

add_endpoint

Add a new environment (endpoint) to Portainer

authenticate

Authenticate to receive a JWT token

create_docker_container

Create a new Docker container

init_admin

Initialize Portainer admin password

list_docker_containers

List Docker containers in an environment

start_docker_container

Start a Docker container

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Portainer through native MCP adapters. Connect 6 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.

—
The largest ecosystem of integrations, chains, and agents. combine Portainer MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Portainer queries for multi-turn workflows

See it in action

Portainer in LangChain

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Portainer and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Portainer to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for LangChain →

Enterprise Security

Why teams choose Vinkius for Portainer in LangChain

The Portainer 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Portainer details →

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

The Vinkius Advantage

How Vinkius secures
Portainer for LangChain

Every tool call from LangChain to the Portainer MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How do I see all containers running in a specific environment?

Use the list_docker_containers tool by providing the specific endpoint_id. The agent will return a list of all containers managed within that Portainer environment.

Can I add a new remote Docker endpoint through the AI?

Yes! Use the add_endpoint action. You can specify the name, set the type to 2 (Remote), and provide the URL (e.g., tcp://10.0.0.1:2375) to connect a new environment.

Is it possible to deploy a container with specific port mappings?

Yes. When using create_docker_container, you can provide a config_json string containing standard Docker API parameters like ExposedPorts or HostConfig to define your network and port requirements.

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.