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Vercel AI SDKSDK
Portainer MCP Server

Bring Docker
to Vercel AI SDK

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

MCP Inspector GDPR Free for Subscribers
Add EndpointAuthenticateCreate Docker ContainerInit AdminList Docker ContainersStart Docker Container
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ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Portainer

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

  1. Subscribe to this server
  2. Enter your Portainer URL and API Key
  3. 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 Vercel AI SDK?

The Vercel AI SDK gives every Portainer tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • —

    TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

  • —

    Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Portainer integration everywhere

  • —

    Built-in streaming UI primitives let you display Portainer tool results progressively in React, Svelte, or Vue components

  • —

    Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

Portainer in Vercel AI SDK

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 Vercel AI SDK 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 catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Unlock for AI Agents View step-by-step setup guide for Vercel AI SDK →
Enterprise Security

Why teams choose Vinkius for Portainer in Vercel AI SDK

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 Vercel AI SDK 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 →
Portainer
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 Vercel AI SDK

Every tool call from Vercel AI SDK 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

01

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.

02

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.

03

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.

04

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

05

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

06

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

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