dockerlint-mcp
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Alternatives to dockerlint-mcp
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Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables an AI to statically lint Dockerfiles and compose files without Docker by parsing their true structure, reporting line-numbered findings with concrete fixes, and analyzing cache order, .dockerignore matching, and safe fix previews as diffs.MIT
- AlicenseNot gradedqualityCmaintenanceExposes a Dockerfile auditing engine to AI assistants, letting them scan a Dockerfile for the 32 deterministic layer-aware rules, print a stage/layer map showing what each layer adds or deletes, explain any rule's rationale and fix, and list available rules. Findings include file:line evidence so agents can surface and triage image-safety issues directly in Claude Code, Cursor, or Cline.MIT
- AlicenseAqualityCmaintenanceEnables agents to validate Dockerfiles for build-breaking syntax errors, risky patterns like root users and secrets in ENV/ARG, and cache-order problems, returning every finding with its line and a fix. It also verifies referenced container images against public registries, reporting tag existence, digests to pin, supported platforms, last rebuild time, and end-of-life status with an upgrade tag.21MIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables AI assistants to interact with Docker containers through safe, permission-controlled access to inspect, manage, and diagnose containers, images, and compose services with built-in timeouts and AI-powered analysis.-
- AlicenseAqualityAmaintenanceEnables AI assistants and developers to analyze code for language-specific best practices and idiomatic patterns across programming languages, CI automation, and configuration formats.162MIT
- AlicenseNot gradedqualityBmaintenanceEnables users to analyze Dockerfiles without a Docker daemon or build, ranking layer sizes biggest first and surfacing deterministic waste flags. It also validates supplied layer sizes against the number of layer-producing instructions.MIT
TDQS
Scored across 7 tools
Each tool has a fairly distinct role: overview summarizes, lint_dockerfile reports rule findings, explain_layers focuses on layer/cache heuristics, fix_preview shows diffs. There is minor overlap between explain_layers' order/cache problems and lint_dockerfile's cache-busting rule, but descriptions clarify the split.
All tools use snake_case, which is consistent, but the ordering is mostly verb_noun (lint_dockerfile, check_dockerignore, fix_preview) with one noun_verb outlier (dockerfile_overview). Readable and predictable overall with a single minor deviation.
Seven tools is well-scoped for a Dockerfile/compose linting server, each covering a distinct artifact (Dockerfile, compose, dockerignore) or function (summarize, lint, explain, suggest, fix). No tool feels redundant or like padding.
The surface covers the full lint lifecycle for Dockerfiles plus compose and .dockerignore, with suggestions and fix previews but no write/apply by design. Minor gaps exist, such as no automatic fix suggestions for compose or dockerignore, but core workflows are covered.