AIHawk vs Firebase MCP: Which is Better in 2026?

as of Sep 30, 2026

• MCP server for coding agents
• Anti-detect stealth Firefox
• Standalone web UI
• Persistent profiles
• Runs entirely locally

• Firestore document operations
• Storage file management
• User authentication lookup
• Flexible transport
• Configurable logging

AIHawk (now published under the name invisible_playwright_mcp, with AIHawk kept as its established brand) is an open-source anti-detect browser and web-browsing agent built on Playwright, distributed as an MCP server so coding assistants like Claude Code, Codex, and Gemini CLI can browse the web without triggering captchas or anti-bot blocks. It ships two ways to use it: as an MCP server plugged into an existing coding assistant, or as a standalone web UI (a chat panel next to a live browser view) that works with any OpenRouter model and key. The engine drives a stealth Firefox build with configurable proxy, browser-fingerprint seed, and persistent profile support, so logins and cookies survive across restarts. Everything runs locally with no server of AIHawk's own: the sites visited see the browser as any normal Firefox would, and only the assistant's own model provider sees the conversation. The project has 31,700+ GitHub stars and 4,700+ forks, and its author previously built the well-known LinkedIn auto-apply tool under the same AIHawk name.

Firebase MCP is an open-source Model Context Protocol server that connects AI assistants to a Firebase project, letting them run Firestore document operations, manage files in Storage, and look up users via Authentication. It's aimed at developers who work through MCP clients like Claude Desktop, Cursor, VS Code, and Augment Code, and is configured by pointing a short MCP settings entry at a Firebase service account key. Unlike a fixed integration, it can run over either stdio or HTTP transport and installs via npx or from source, so one server can back multiple clients.