Bring Docker
to LlamaIndex
Learn how to connect Portainer to LlamaIndex 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 LlamaIndex?
LlamaIndex agents combine Portainer tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Portainer tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Portainer tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Portainer, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Portainer tools were called, what data was returned, and how it influenced the final answer
Portainer in LlamaIndex
Portainer and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Portainer to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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 LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Portainer tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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