MCP server for Android device control via ADB and scrcpy — gives AI agents vision and control over Android devices

Your AI-Powered Coding Tools Best Practices

Advanced MCP Server ROS 2 bridging AI agents straight into robotics

This is a TypeScript-based MCP server that provides database interaction capabilities through ArangoDB.

Agent-managed GitHub merge queue for Codex, Claude Code, Cursor, and MCP clients

🥷 Engineering habits you already know, turned into skills Claude can run.

Allows you to emulate an Android native library, and an experimental iOS emulation

Prismer Cloud

Token-efficient browser MCP server — structured web pages for AI agents, not raw accessibility dumps

Desktop kanban board for orchestrating agentic workflows

A MCP server to allow the LLM in Cursor to access Rust Analyzer, Crate Docs and Cargo Commands.

Computer use CLI for AI agents

Agent Skill for PHP security audits - OWASP patterns, vulnerability detection | Claude Code compatible

Real-time visualization of Claude Code agent orchestration — see your agents think, branch, and coordinate as they work.

Compounding Context for AI Coding Assistants — MCP graph engine for Claude Code, Cursor, Copilot, Gemini, OpenCode

Model Context Protocol server for Firefox DevTools - enables AI assistants to inspect and control Firefox browser through the Remote Debugging Protocol

MCP server for TouchDesigner — build, wire, and debug networks with AI. Plus git-diffable externalization.

Bitbucket MCP - A Model Context Protocol (MCP) server for integrating with Bitbucket Cloud and Server APIs

TeamCity from your terminal – or your AI's. Builds, logs, agents, agent terminals, queues.

Continue unfinished work across coding agents with portable handoff bundles.

Give your AI coding agent a Roblox brain. Skill collection for Roblox Studio game development.

Project management skill system for Agents that uses GitHub Issues and Git worktrees for parallel agent execution.

Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)

Full computer-use for AI agents. Self-learning workflows. Native macOS. No screenshots required.