Tools

MCP server built into the adaptive Python scraping framework Scrapling: supports plain HTTP requests, browser rendering and stealth fetching, and uses CSS selectors to pass only the target content to the AI, saving tokens and filtering out prompt injection.

Adaptive web scraping framework: scrapling extract turns a page into Markdown, text or HTML in one command, with CSS selectors and browser rendering for dynamic pages, plus an MCP server (needs the ai extra). Needs Python 3.10+ and a browser install on first use.

Analyzes a codebase with a multi-agent pipeline to build a knowledge graph of files, functions, classes and dependencies plus an interactive dashboard for architecture tours, semantic search and change impact analysis. Also handles knowledge bases; the first run uses many tokens.

Open-source, LLM-friendly web crawler that turns pages into clean Markdown for RAG and agents. Ships the crwl CLI and supports deep crawling and question-driven data extraction (extraction needs an LLM key). Free to self-host.

Turns natural-language descriptions, Mermaid or a real code repo into interactive single-file HTML diagrams: architecture, flowcharts, sequence diagrams, data flows and state machines. Validates output automatically and exports PNG or SVG.

Rust CLI proxy that filters and compresses command output before it reaches the agent's context, covering git, tests, grep, ls and 100+ other commands and cutting bash output by up to about 90%. Hooks automatically rewrite commands run by Claude Code, Codex and others.

General-purpose command-line fuzzy finder for any text input, such as file lists, command history or processes. Besides the interactive UI it has a non-interactive --filter mode, plus shell key bindings and completion.

Document parser from OpenDataLab that turns PDFs, images and Office files into Markdown or JSON, handling tables, formulas and complex layouts well, with page-by-page reading and citation anchors for agents. Parses locally by default; needs Python 3.10+.

Frontend design quality plugin: one skill plus 24 commands (audit, critique, polish and more) and 61 built-in deterministic rules that find common design flaws in AI-generated interfaces and fix them one by one.

Frontend design polish skill: one skill with 24 commands such as polish, audit, critique and typeset, plus 61 deterministic rules that catch typical AI-generated UI problems, with live iteration in the browser. Works with Claude Code, Codex, Cursor and others.

Curated index of Claude skills with about 30 practical skills in the repo (resume tailoring, content research and writing, file organization, meeting analysis) plus 800+ automation skills that reach third-party apps via Composio, which need Rube MCP and account authorization.

Classic open-source OCR engine and CLI that reads text from images and outputs plain text, hOCR, searchable PDF or TSV. Supports 100+ languages; install the language data for each language you need.

All-in-one LLM fine-tuning framework: llamafactory-cli handles pretraining, SFT, PPO/DPO alignment and LoRA/QLoRA training, plus chat inference, weight merging and export, and OpenAI-style API serving for 100+ open models. Has a Web UI; training usually needs a GPU.

Multi-agent orchestration framework for Claude Code and Codex, formerly Claude Flow: swarm coordination, self-learning memory and cross-machine federated communication. The marketplace offers 30+ plugins; full features need npx ruflo init.

Multi-agent orchestration framework formerly called Claude Flow: ruflo init gives Claude Code nearly 100 specialized subagents, swarm coordination, cross-session vector memory and hooks; add --codex to configure Codex instead. Also works as a standalone MCP server or plugin marketplace.

Local job search workbench: evaluates role fit and spots fake listings, generates tailored resume and cover letter PDFs, and tracks applications without ever applying for you. Run npx @santifer/career-ops init first, then open Claude Code or Codex in the created folder.

Job search system that runs in your local AI coding CLI: scans job portals, scores roles with a structured A-H evaluation and a 1-5 rating, flags fake listings, tailors ATS resumes and cover letters, and tracks applications. Never submits for you. Needs Node.js.

Prebuilds a local knowledge graph of your codebase (symbols, call chains, dependencies) so coding agents get relevant source and change impact in one call, kept in sync as files change. Fully local, supports dozens of languages; run codegraph init in each project first.

Runs GitHub Actions workflows locally in Docker, so you can test .github/workflows changes without repeated commits and pushes, or use workflows as a local task runner. Needs Docker installed.

Lightweight spec-driven development CLI: after initializing a project, commands such as /opsx:propose let humans and agents agree on change proposals and specs before coding. Supports Claude Code, Codex and 30+ other tools. Needs Node.js 20.19+.

macOS cleanup and maintenance CLI (mo): clears caches and logs, fully uninstalls apps, analyzes disk usage, removes project build artifacts and shows system status. Preview deletions with --dry-run; disk analysis and status support JSON output. Needs macOS 12+.

Official Cline CLI sharing its agent core with the VS Code extension: plan/act modes, MCP, checkpoints and subagents; --yolo and --json run it unattended in CI and scripts. Sign in with Cline or a ChatGPT subscription, or bring your own API key.

Fast regex search across directories (command rg) that respects .gitignore, skips hidden and binary files by default and filters by file type. A go-to command for coding agents searching a codebase.

Parses PDF, DOCX, PPTX, XLSX, HTML, images and audio, recovering layout, reading order, tables and formulas, and exports Markdown, HTML or lossless JSON. Started by IBM Research, now hosted by the LF AI & Data Foundation; runs fully locally.