"author:0xmortuex" matching MCP servers:

Enables AI assistants to statically lint and explain Dockerfiles, compose files, and .dockerignore rules with line-numbered findings, concrete fixes, layer-cache analysis, multi-stage suggestions, and safe fix previews, all without a Docker daemon.

Enables AI agents to run the same regex in real Python, JavaScript, and optional regex engines side by side, flag disagreements, confirm ReDoS by timing adversarial input in a killed child process, explain patterns, convert Python/JavaScript syntax, preview substitutions, and generate verified test suggestions. All execution is isolated in throwaway processes with hard timeouts and strict input caps.

Enables AI agents to run a project's pytest, unittest, jest, or vitest suites and get back compact structured results with trimmed tracebacks, collection errors kept apart from real failures, and the slowest tests. Agents can then re-run just the failures, expand one failure with local variables, repeatedly execute a single test to judge flakiness, and inspect Python coverage gaps, all under a hard timeout that kills the whole process tree.

Enables AI agents to safely run test suites over MCP, returning concise JUnit-based results, trimmed tracebacks, rerun-failed support, and flaky-test detection while handling timeouts, process cleanup, and bounded output.

Enables AI agents to lint and validate OpenAPI and Swagger specs and to diff two versions of a spec, classifying each change as breaking, potentially breaking, or non-breaking with request-vs-response context, JSON pointers and source lines. It also produces markdown changelogs, filters and describes endpoints, and checks example payloads against operation schemas, all offline within a sandboxed directory.

Enables 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.

Enables agents to lint OpenAPI specifications and detect breaking changes between two versions of an API, normalising Swagger 2.0 and OpenAPI 3.0/3.1 into a single model with safe $ref resolution. It exposes schema-walking and example-validation tools over stdio, classifying each change as breaking, potentially breaking, or safe based on request-versus-response variance.