Remote Camera MCP

What is Remote Camera MCP?

Remote Camera MCP bridges the gap between AI coding assistants like Claude Code and the physical hardware world. It enables your AI assistant to see what you see through your mobile camera, no matter where you are.

Working on hardware with Claude Code? Instead of typing out chip part numbers, describing PCB layouts, or explaining what connectors look like, just take a photo. The same capture URL can be reused multiple times, making iterative hardware debugging feel as natural as software debugging.

Why Use Remote Camera MCP with Claude Code?

Visual context is crucial for hardware work. When you're reverse engineering a board, identifying unknown chips, or debugging physical connections, describing everything in text is slow and error-prone. With Remote Camera MCP:

• Claude Code can read chip markings and search for datasheets instantly
• Show trace layouts and get immediate feedback on signal routing
• Capture connector pinouts for accurate cable/adapter design
• Document your reverse engineering process with visual evidence

Example Use Cases

🔬 Hardware Reverse Engineering

• Chip identification: "Take a photo of the main IC" → Claude Code reads the part number and finds the datasheet
• PCB analysis: "Capture the power section" → Get analysis of voltage regulators and power distribution
• Interface discovery: "Show me the debug header" → Identify JTAG, SWD, UART, or other interfaces
• Component mapping: Document unknown boards by photographing sections and building a component database

🔧 Hardware Development & Debugging

• PCB troubleshooting: "Take a photo of the chip markings on the main IC"
• Component identification: "Show me the part number on that sensor module"
• Layout analysis: "Capture the PCB trace layout near the connector"
• Connector pinouts: Identify pin assignments for cable/adapter design

🚗 Automotive & Mechanical

• Part identification: Reading part numbers on engine components or assemblies
• Repair guidance: Showing physical layout for step-by-step assistance

📋 General Applications

• Product documentation: Reading labels, model numbers, or specifications
• Physical inspection: Any situation where visual context helps diagnosis

How It Works with Claude Code

1. Ask Claude Code about your hardware — "What chip is this?" or "Help me reverse engineer this board"
2. Claude Code requests a capture URL from the MCP server with optional instructions like "Take a photo of the main IC"
3. Open the capture URL on your mobile device and photograph the hardware
4. Photo uploads automatically to your private S3 bucket
5. Claude Code polls the MCP server and retrieves the image for analysis
6. Get immediate assistance — part numbers read, datasheets found, code written, pinouts identified
7. Reuse the same capture URL for multiple photos without regenerating

This creates a seamless workflow: hardware question → quick photo → AI analysis → actionable answer. No context switching, no manual typing of part numbers, no trying to describe visual details in text.