"author:0xmortuex" matching MCP servers:

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 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 It also lists outdated packages and explains individual advisories, all read-only with no API key required.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 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 assistants to perform everyday image tasks over MCP, including resizing, format conversion, target-size compression, verified GPS/EXIF stripping, cropping, rotation, icon generation, contact sheets, and batch operations. Runs on Pillow alone with sandboxed directory access, atomic non-overwriting writes, decompression-bomb protection, and optional previews.

Enables an AI agent to run read-only SQL over local CSV, Parquet, and JSON files through MCP tools, with directory sandboxing, statement gating, timeouts, and query timeouts that keep access confined to permitted folders. Results are shaped for small context windows with row caps, truncation notices, and markdown/CSV/JSON output.

Enables an AI agent to inspect images, resize and compress them to size budgets, strip EXIF/GPS metadata, generate thumbnails, and safely batch-process files inside a directory sandbox.

Enables AI assistants to inspect, read in token-budgeted chunks, search, and extract tables and images from PDFs, plus merge, split, reorder, and rotate pages. Works with pure-Python dependencies and confines all file access to explicitly allow-listed folders.

Enables an AI agent to inspect which process is listening on a local port and safely plan, confirm, and verify termination of that process across platforms.

Enables an agent to mine a repository's git history and answer questions a new teammate would ask: which files are riskiest based on churn, recency and author breadth, who actually knows each file based on surviving lines, which files secretly change together, which directories depend on one person, and what recent commits mean for release notes. All analysis runs through a read-only server sandboxed to a single directory.

Enables AI agents to investigate very large log files with constant-memory streaming, offering format overviews, filtered searches, error clustering, timelines, request tracing, and window comparisons across plain, gzipped, and rotated logs.

Enables AI agents to compress videos to target sizes, create GIFs, cut clips, and preview exact ffmpeg commands before execution, with safe subprocess handling, progress reporting, cancellation, and dry runs.

Enables AI agents to inspect git working trees and history for exposed credentials without letting raw secrets reach the model, with false-positive filtering, baseline support, and remediation guidance.

Enables AI agents to identify which processes are using ports across Windows, macOS, and Linux, inspect process details and trees, find free ports, test TCP reachability, and safely free ports through a two-step confirmed kill that refuses dangerous targets.

Enables AI assistants to mine a git repository's history and answer pre-change questions: which files are riskiest, who genuinely knows a file or directory (blame-weighted, with bus factor and inactive authors), which files secretly change together, churn timelines, commit search, and release notes. It runs read-only against real git with noise filtering and reproducible, documented formulas.

Enables AI assistants to search, read, link, query, create, edit, and safely rename notes in an Obsidian-style markdown vault, including BM25 search, backlinks, frontmatter queries, and dry-run link updates.

Enables an AI agent to search a folder of markdown notes, follow links and backlinks, and safely rename notes while rewriting every link to them.

Enables AI agents to scan a working tree and git history for committed credentials without exposing raw secrets, returning redacted findings and provider-specific rotation, misuse-check, and clean-up guidance.