AI Agents
google_workspace_mcp
Control Gmail, Calendar, Docs, Sheets, Drive and more from AI — a full Google Workspace MCP server.
★ 3.3k starsMIT
View guide →FIRERPA / LAMDA — full-stack Android device control: remote desktop, automation, MITM, Frida and MCP.
lamda is an open-source ai agents project by firerpa (firerpa/lamda on GitHub). It has 8,553 GitHub stars and 1,155 forks, is released under the MIT license, and was last updated on GitHub on 27 September 2026.
Decide your use case — device farm, automation, traffic analysis or reverse engineering — and prepare the Android devices (root is optional) you will enrol.
Clone firerpa/lamda from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.
Deploy the FIRERPA server on each device per the project documentation, then install the Python client library on your PC to orchestrate them.
Open the browser-based remote desktop for one device, run a simple UI automation action through the client, and confirm the fleet view sees the device.
Browser-based remote control with MJPEG and H.264 (up to 60fps), WebRTC with STUN/TURN, multi-user access, clipboard, audio and file browsing over a single port.
Selector-based automation with child/sibling chaining, UI Watchers for popups, OCR and on-device image matching, multi-touch recording and replay — plus virtual displays that run automation without disturbing the main screen.
Automatic CA install and proxy setup, per-app capture, live request/response editing and QUIC downgrade, all API-driven alongside mitmproxy-compatible tooling.
Frida is bundled with hiding patches, persistent scripts with hot reload, and RPC mapped to Python methods and HTTP JSON-RPC — no separate frida-server.
HTTP/HTTPS/SOCKS5/Shadowsocks per-app proxying, a device HTTP bridge, built-in OpenVPN and frp clients, and mDNS fleet discovery.
Distributed multi-device management with 160+ APIs, plus MCP/Agent support so AI agents can drive devices through the same platform.
Get the source from the official GitHub repository for lamda.
git clone https://github.com/firerpa/lamda.git
cd lamdaClone the repository and follow the deployment documentation for installing the FIRERPA server on your Android device.
git clone https://github.com/firerpa/lamda.git
cd lamda # then follow the deployment docs — see READMEInstall and use the Python client library per the docs to connect to a device and run your first automation call.
# Install the Python client per the project docs, connect to the device, then call the device API — see READMEfirerpa, through the firerpa/lamda repository, with the product site at device-farm.com.
Yes — the project is open source under the MIT license as recorded for this listing. You can use, modify and distribute it under the MIT terms.
The platform itself is open source and needs no paid key; AI/MCP agent features use whatever model you connect, with your own credentials.
That stack works but means separate tools, configs and failure modes. FIRERPA positions itself as one server and one API covering automation, capture, Frida and fleet ops — built specifically for multi-device, long-running production use.
Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — open the browser-based remote desktop for one device, run a simple UI automation action through the client, and confirm the fleet view sees the device.
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