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Official AWS MCP that searches and reads AWS documentation, converts it to Markdown for agents to cite, and suggests related pages. No AWS credentials needed; requires uv.

Official AWS MCP for managing FHIR health data in AWS HealthLake: CRUD, advanced search, full patient records, and import and export, with a read-only mode to prevent changes. Needs an AWS account, a paid HealthLake data store and local AWS credentials; clinical conclusions need professional review.

Distributed data integration tool and Apache top-level project with 160+ connectors for batch, real-time and CDC sync. Define jobs in config files and run them on the built-in Zeta engine or on Flink or Spark. Requires Java.

Rendering engine that lays out HTML and CSS and exports PDF, supporting paged media and other print style standards, ideal for generating reports, invoices and receipts in bulk. Written in Python; depends on the system Pango library.

Uses a strong model to audit your codebase and list evidence-backed issues across correctness, security, performance and testing, writes a plan a cheaper model can execute, and reviews the results. It never edits code itself. By shadcn.

High-accuracy retrieval-augmented Q&A over paper PDFs, text and Office documents, filling in citation metadata, checking retractions and attaching traceable sources to answers. Provides the pqa CLI and a Python library. Needs an LLM API key by default; local models can be configured.

Terminal tool for exploring and wrangling tabular data: opens dozens of formats including CSV, JSON, Excel and SQLite for filtering, sorting, pivots and frequency counts. --batch mode replays actions headlessly or converts file formats.

Say build a harness for this project and it designs a domain-specific agent team, generating subagent definitions, companion skills and orchestration, validates them and keeps evolving them from feedback. Supports workflow orchestration, persistent agent teams and subagent delegation.

Static scanner for security and compliance issues in Terraform, CloudFormation, Kubernetes, Helm, Dockerfiles and CI pipeline configs, with over a thousand built-in policies and hard-coded secret detection. Outputs SARIF, JSON and more. Maintained by Prisma Cloud.

Manage database schemas as code: declare the desired schema in SQL, HCL or your ORM and Atlas plans, lints and applies migrations, and can export existing databases as HCL, SQL or Mermaid ER diagrams. Supports PostgreSQL, MySQL and a dozen other databases.

Manages multiple Claude Code, Codex, Gemini and Aider sessions in parallel from one terminal: each task gets its own git worktree, can run in the background, and changes are reviewed before merging. Requires tmux and gh.

Converts the output of 100+ commands such as dig, ps, ls and ifconfig, plus common file formats, into JSON so agents can parse it reliably with jq or scripts. Also usable as a Python library.

Google Workspace CLI for scripts and agents covering Gmail, Calendar, Drive, Docs, Sheets, Contacts and Tasks, with JSON output, read-only mode and command allowlists; can also run as a read-only-by-default MCP server. Bring your own Google OAuth client.

Free remote MCP service that turns any GitHub repo or GitHub Pages site into a docs endpoint, so agents can read up-to-date docs and search code on demand and hallucinate fewer APIs. No sign-up or install; self-hosting is also possible.

Spec-driven project management for software: guides brainstorming into a PRD, breaks it into epics and dependent tasks synced as GitHub Issues, answers standup, next-step and blocker questions, and can dispatch several agents to code in parallel. Needs Git, an authenticated gh CLI and a GitHub repo.

Offline speech toolkit for Apple Silicon Macs: CLI text-to-speech (including Chinese and voice cloning) and speech-to-text, for voicing lessons and explainer videos or transcribing lectures and interviews, with data staying local. Needs an M-series Mac and Python 3.10+; MP3 export needs ffmpeg.

Turns Peng Sida's public research-writing notes into a skill: revises abstracts, introductions, methods and experiments of ML/CV/NLP papers from a reviewer's view, checks that each claim has experimental evidence, and runs a pre-submission self-check. Pure methodology, no API key.

Moonshot AI's official terminal coding agent: reads and edits code, runs commands, searches files and fetches web pages, with video input, MCP, plugins, subagents and hooks, plus Zed and JetBrains integration via ACP. Needs a Kimi sign-in or Moonshot API key. Replaces the archived Kimi CLI.

HTTP client CLI that reimplements HTTPie's syntax in Rust with a focus on performance; key-value pairs on the command line are sent as JSON by default, making it quick to debug REST APIs.

Removes backgrounds from images and videos with one AI command: batch whole folders, use a portrait model, refine edges or swap in a solid color, and output transparent MOV or composite video onto a new background. Runs locally; install PyTorch and ffmpeg first. Models download on first run.

Trail of Bits static analysis skills: CodeQL for interprocedural taint tracking and data-flow analysis, Semgrep for rule-based scanning, plus parsing and deduplicating SARIF results. Requires CodeQL or Semgrep installed locally.

Trail of Bits skill that audits GitHub Actions workflows wired to AI coding agents (Claude Code Action, Codex, Gemini CLI and others) for prompt injection, env-variable relays, dangerous sandbox settings, wildcard allowlists and other privilege risks.

From Trail of Bits: starts from one confirmed vulnerability, distills its root cause, then writes and progressively generalizes CodeQL/Semgrep queries to find similar variants across the codebase and report them by severity.

From Trail of Bits: reviews PRs, commits or diffs from a security angle, tracing history with git blame, estimating blast radius by caller count and checking test coverage gaps, then writes a Markdown review report.