Bring Docker
to Mastra AI
Learn how to connect Portainer to Mastra AI 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 SubscribersCompatible with every major AI agent and IDE
Gemini
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 a new environment (endpoint) to Portainer
Authenticate to receive a JWT token
Create a new Docker container
Initialize Portainer admin password
List Docker containers in an environment
Start a Docker container
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Portainer tool infrastructure. Connect 6 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Portainer without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Portainer tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Portainer in Mastra AI
Portainer and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Portainer to Mastra AI 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.
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 |
Why teams choose Vinkius for Portainer in Mastra AI
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 Mastra AI 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.
* 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
How Vinkius secures
Portainer for Mastra AI
Every tool call from Mastra AI to the Portainer MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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