Enterprise DNA
M MCP Servers Developer low

portainer/portainer-mcp

by Various

Portainer MCP server

P

MCP

portainer/portainer-mcp

Added 1 June 2026

Overview

Portainer MCP server is a Python-based tool that exposes a Model Context Protocol interface for managing Docker environments through Portainer. It allows AI assistants to interact directly with containerized infrastructure using natural language or structured queries.

Best for

Best for
Developers who want to control their Portainer Docker stacks through AI assistants

Use cases

  • Deploy and manage Docker containers via natural language commands
  • Monitor container health and logs without leaving an AI chat interface
  • Automate infrastructure changes through AI-driven workflows

Notes

Portainer MCP server is a Python-based tool that exposes a Model Context Protocol interface for managing Docker environments through Portainer. It allows AI assistants to interact directly with containerized infrastructure using natural language or structured queries.

166 stars on GitHub. Last updated 2026-05-29. Licensed MIT.

Use cases

  • Deploy and manage Docker containers via natural language commands
  • Monitor container health and logs without leaving an AI chat interface
  • Automate infrastructure changes through AI-driven workflows

Pros

  • Tight integration with Portainer for real-world Docker management
  • Enables non-GUI container operations from within AI tools
  • Open source with active GitHub community (166 stars)

Cons

  • Requires a running Portainer instance, adding a dependency
  • Limited to Portainer-managed environments, not generic Docker
  • Python-only implementation may not fit every MCP ecosystem

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Tight integration with Portainer for real-world Docker management
  • Enables non-GUI container operations from within AI tools
  • Open source with active GitHub community (166 stars)

Cons

  • Requires a running Portainer instance, adding a dependency
  • Limited to Portainer-managed environments, not generic Docker
  • Python-only implementation may not fit every MCP ecosystem