RuView
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
RuView is an MCP server that transforms WiFi signals into spatial intelligence without cameras or wearables. It exposes real-time presence detection, vital sign monitoring (breathing and heart rate), and room occupancy data through MCP tools that AI agents can query. The server bridges hardware WiFi sensing (via ESP32 devices) to Claude Code, Cursor, and other MCP-compatible AI assistants. Developers can build privacy-preserving sensing applications without video surveillance infrastructure.
Key Features
Use Cases
- 01Building AI agents that monitor elderly care facilities for falls and breathing anomalies without cameras
- 02Creating smart home automations that detect room occupancy through walls for HVAC and lighting control
- 03Developing contactless patient monitoring systems for hospitals that track breathing and heart rate
- 04Prototyping retail analytics applications that count customers and measure dwell time without video surveillance
- 05Research applications requiring privacy-preserving human activity recognition in sensitive environments
- 06Emergency response systems detecting survivors through rubble via breathing signatures
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RuView — FAQ
What is RuView?+
RuView is an MCP server that turns WiFi signals into spatial intelligence, enabling AI agents to detect presence, monitor vital signs (breathing and heart rate), and track occupancy through walls without cameras or wearables.
How do I install and connect RuView to Claude Desktop?+
Install via npx: run 'npx @ruvnet/rvagent stdio' for direct use, or add the MCP server configuration to Claude Desktop's config file pointing to the rvagent package. For development, clone the repo and build the sensing server with Rust.
Which AI clients work with RuView?+
RuView works with Claude Code, Cursor, and any MCP-compatible client via stdio transport. It also supports Streamable HTTP for custom integrations with bearer-token authentication.
Do I need special hardware or API keys?+
For full sensing capabilities you need an ESP32-S3 board ($9) with CSI firmware. For evaluation, the Docker image runs with simulated data requiring no hardware. No API keys are required; the system runs locally.
Is RuView free and open source?+
Yes, RuView is MIT-licensed open source software. The core sensing stack, MCP server, and ESP32 firmware are all free to use and modify.
What accuracy can I expect from WiFi-based pose estimation?+
The live single-ESP32 17-keypoint pose model is first-cut with PCK@20 = 3.0% (below research targets). The published MM-Fi benchmark model achieves 82.69% torso-PCK@20 but requires multi-antenna research NICs, not commodity ESP32 hardware.
How do I install RuView?+
Open the source repository on GitHub and follow its README. RuView is a mcp server — MCP Agents Market links you directly to the official repo.
Is RuView free?+
RuView is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.