All-in-one AI desktop app: one-click install for Claude Code, Codex CLI, DeepSeek and more, manage AI accounts and quotas, smart model routing with auto-failover, voice input, and run local LLMs. Bonus: a Token Pet that grows as you use AI.

🦀⚡ Community skill pack & CLI for Genspark Claw, OpenClaw & Hermes agents — 5 production-ready SKILL.md skills (deep research, reports, slides, browser automation, AI call prep), zero-dependency Node.js installer, MCP server, one-line install

Local-first AI coding workflow for vibe coders, indie hackers, technical founders and product managers — catch missing tests and safety checks across Claude Code, Cursor, Windsurf, Replit, Lovable and Bolt.new.

Model Context Protocol server for Firefox DevTools - enables AI assistants to inspect and control Firefox browser through WebDriver BiDi

Content-aware output compression for AI coding assistants. 36 specialized processors cut CLI output tokens by 60-99% (git, pytest, npm, terraform, kubectl, docker, and more) without losing errors, diffs, or stack traces.

MCP server giving AI assistants 17 weather tools with zero API keys: global forecasts, current conditions, alerts, air quality, marine conditions, lightning detection, radar imagery, river levels, wildfire tracking, and historical weather back to 1940. Bu

Author, generate, validate and govern AI agent rules, skills, plugins and MCP configuration across 52 coding assistants. Review with verified model evidence, evaluate skills, lock and sign dependencies, and publish bundles. CLI, MCP server and Go API.

🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration. ⚡️

Offline HarmonyOS NEXT developer skill library for AI coding assistants. Covers API 12–26 declarations, ArkTS/ArkUI, NDK, DevEco Studio, emulator automation, debugging, publishing, and reproducible local tooling.

Enables MCP-capable assistants to build, preview, and publish full-stack web apps by directing a hosted coding agent, with tools for projects, wallet balance, domains, previews, downloads, and GitHub export.

Long-term memory for AI assistants: permanent, portable across clients, searchable and exportable.

Private web search for AI assistants via SearXNG — supports Claude, Cursor, and any MCP client

Engineering decisions, change impact, documentation audits, and CI evidence for coding assistants.

Persistent, verbatim, searchable memory for AI assistants — one memory across every MCP client.

Browser and desktop automation with an MCP server for AI assistants. Record macros or write JavaScript to automate websites, extract data, and control desktop apps with OCR and image recognition.

Enables AI assistants to look up, create, update, archive, pause and resume short links and QR codes, and to read account, link and QR code click analytics, with every change reversible and nothing permanently deleted. It is a hosted, OAuth-authenticated remote server that requires no installation.

Keeps AI assistants on track during long conversations by tracking tasks across sessions

Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.

Jira toolkit for terminals, coding assistants, and bots.

IAM Policy Autopilot is an open source static code analysis tool that helps you quickly create baseline AWS IAM policies that you can refine as your application evolves. This tool is available as a command-line utility and MCP server for use within AI coding assistants for quickly building IAM policies.

Enables AI agents and IDE assistants to run zero-config security audits, detect secrets and vulnerable dependencies, and apply adversarial verification to reduce false positives.

An MCP server that lets AI assistants preview and apply file organization, duplicate cleanup, and batch renames inside folders you explicitly allow, plus read screen-time statistics and optionally search clipboard history. Every file-changing action is undoable, nothing is deleted permanently, and read-only or path-restricted modes keep the assistant within safe bounds.

Enables AI IDEs and assistants to perform AST analysis, map dependency graphs and call chains, run semantic code search, and optionally sync cloud-backed memory — all locally so source code never leaves the machine.

Enables AI assistants and other MCP clients to search, retrieve, and browse end-to-end encrypted contacts locally through read-only tools, decrypting data only on the user's device.