podman-mcp-server

Name: podman-mcp-server
Rating: 77 (1 reviews)
Author: manusa

MCP Server

manusa/podman-mcp-server

A Go-based Model Context Protocol (MCP) server that enables AI assistants to manage containers, images, networks, and volumes via Podman or Docker.

80 19Apache-2.0Updated 2026-08-03

Great

View on GitHub Open source file

Overview

The podman-mcp-server is a Model Context Protocol (MCP) server implemented in Go. It allows AI assistants and coding agents to securely interact with container runtimes using either the Podman CLI, Docker CLI, or the Podman REST API. It supports multiple transport layers including standard input/output (STDIO) and modern HTTP endpoints.

Capabilities

▸Manage containers (inspect, list, logs, remove, run, stop)
▸Manage images (build, list, pull, push, remove)
▸Manage networks (list)
▸Manage volumes (list)
▸Support for multiple runtimes (Podman and Docker)
▸Dual transport mode support (STDIO and HTTP/SSE)

Best for

Listing and inspecting running containers and images directly from an AI assistant chat interface, Building, pulling, and pushing container images using conversational prompts, Managing container volumes and networks programmatically via MCP tools, Running automated infrastructure and container troubleshooting workflows with AI agents

Works with

Claude CodeCursorGemini CLI

Evoa Score breakdown= Σ (score × weight)

Task usefulness20%100 → +20.0

実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 — AIによるSKILL.md/README解析

Maintenance15%100 → +15.0

リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ

Documentation12%37 → +4.4

ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量

Security15%50 → +7.5

危険・不審な挙動が無いか。 — AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 — AIによる独自性判定

Popularity8%52 → +4.2

コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）

Compatibility5%75 → +3.8

対応AIエージェントの広さ。 — AIによる対応エージェント判定

Weighted total76.8 / 100

ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。ランキングはこのScoreのみで決まり、広告で変わりません。算出方法の詳細 →

Security considerations

Granting an AI agent control over container runtimes permits execution of arbitrary containers, volume mounts, and network configurations. Ensure appropriate host access restrictions and socket permissions are enforced.