"author:0xmortuex" matching MCP servers:

Enables an AI agent to inspect, repair, retime, convert, merge/split, and search SRT, WebVTT, and ASS subtitle files entirely offline, with exact-fraction resync, dry-run fixes, and honest encoding detection. Translation is handled by the agent itself through a chunk/apply contract that preserves timing and flags lost tags.

Enables AI assistants to perform everyday media jobs through intent-level tools, including compressing to target sizes, trimming, GIF creation, audio extraction, frame extraction, concatenation, conversion, and transforms, with dry-run previews of exact ffmpeg commands and safety controls.

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 an AI agent to parse project lockfiles (npm, pnpm, Yarn, uv, Poetry, requirements.txt, Cargo, go.sum) and query OSV.dev to find known vulnerabilities in locked versions, transitive dependencies included, then produce minimal upgrade plans with breaking-change flags, cleanliness re-checks, and the parent dependency responsible. It also lists outdated packages and explains individual advisories, all read-only with no API key required.

Enables AI agents to diagnose website health and configuration through focused TLS, DNS, HTTP, security-header, port, and email-DNS checks, returning pass/warn/fail verdicts with concrete fixes while guarding against SSRF.

Enables developers to query a project's Python and JavaScript/TypeScript import graph for dependents, blast radius, affected tests and entry points, cycles, and dead-code candidates, with a confidence summary on every answer.

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 agents to diagnose environment-variable issues read-only without exposing values, including .env versus template comparison, undocumented or unused variables across source code, shape validation, secret-exposure checks, git-ignore and history checks, and safe .env.example proposals.

Enables AI agents to analyze browser HAR network traces for slow requests with per-phase timing, failures, waterfalls, and critical paths. Masks secrets by default and can write sanitized copies for sharing.

Enables an AI agent to compute path-level semantic differences between two JSON, YAML, TOML, CSV, .env or INI files or pasted strings — matching lists by key so moves aren't reported as edits, honoring numeric tolerance and ignore patterns, and returning verified RFC 6902 patches. It also streams keyed CSV row diffs and inspects how a file parses, all read-only within allowed folders.

Enables AI assistants to work with local .ics calendar files over MCP, including agenda and search, free-time and conflict detection, DST-correct recurrence, and byte-preserving safe edits without accounts or network access.

Enables AI assistants to list, describe, profile, sample, and run read-only SQL over local CSV, Parquet, and JSON files confined to user-approved folders. Queries are sandboxed with row caps, timeouts, and blocked write/DDL statements for safe by-default access.

Enables AI agents to inspect, list, read, search, verify, create, and safely extract zip/tar archives, including reading members without extraction, while blocking path traversal, symlink escapes, and decompression bombs.