ESP32-CAM AI
A Model Context Protocol (MCP) server implementation for ESP32-CAM that enables integration with a Large Language Model (LLM). The LLM connects using this library to the ESP32-CAM offering remote camera control, LED management, and system monitoring
What is ESP32-CAM AI?
ESP32-CAM AI is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to model context protocol (mcp) server implementation for esp32-cam that enables integration with a large language model (llm). the llm connects using this library to the esp32-cam offering remote camera...
A Model Context Protocol (MCP) server implementation for ESP32-CAM that enables integration with a Large Language Model (LLM). The LLM connects using this library to the ESP32-CAM offering remote camera control, LED management, and system monitoring
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A Model Context Protocol (MCP) server implementation for ESP
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx esp32-cam-aiConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use ESP32-CAM AI
esp32-cam-ai is a C++ firmware implementation that runs an MCP server directly on an ESP32-CAM microcontroller, enabling AI assistants to control the camera hardware over HTTP on a local Wi-Fi network. It exposes five tools — led, flash, capture, wifi_status, and system_status — letting LLMs take photos with optional flash, toggle LEDs, and query device telemetry like memory, uptime, CPU frequency, and temperature. Makers, home automation enthusiasts, and IoT developers use it to integrate physical camera hardware into AI workflows without any cloud intermediary.
Prerequisites
- An ESP32-CAM development board (AI-Thinker or compatible)
- PlatformIO IDE installed (VS Code extension or CLI)
- Wi-Fi network credentials for the ESP32-CAM to connect to
- An MCP-compatible client such as Claude Desktop that supports HTTP transport
- The ESP32-CAM and the MCP client must be on the same local network
Clone the firmware repository
Clone the esp32-cam-ai repository to your local machine.
git clone https://github.com/rzeldent/esp32-cam-ai.git
cd esp32-cam-aiSet your Wi-Fi credentials
Edit the project configuration to add your Wi-Fi SSID and password. These are passed as build flags so the firmware can connect to your local network at boot.
# In platformio.ini or the build_flags section:
-D WIFI_SSID='"YourNetworkName"'
-D WIFI_PASSWORD='"YourPassword"'Optionally configure GPIO pins
If your board uses non-default GPIO pins for the LED or flash, set the override build flags. Defaults are LED_GPIO=33 and FLASH_GPIO=4.
# Optional GPIO overrides in platformio.ini build_flags:
-D LED_GPIO=33
-D LED_ON_LEVEL=LOW
-D FLASH_GPIO=4
-D FLASH_ON_LEVEL=HIGHBuild and flash the firmware
Connect the ESP32-CAM via USB and upload the firmware using PlatformIO.
pio run --target uploadFind the device IP address
After flashing, open the PlatformIO serial monitor to see the ESP32-CAM's assigned IP address printed at boot. Note this IP for MCP client configuration.
pio device monitorConfigure your MCP client
Add the ESP32-CAM MCP server to your client configuration using the device's local IP address as the HTTP endpoint.
{
"mcpServers": {
"esp32-cam": {
"type": "http",
"url": "http://192.168.1.132"
}
}
}ESP32-CAM AI Examples
Client configuration
Connect Claude Desktop to the ESP32-CAM MCP server on the local network.
{
"mcpServers": {
"esp32-cam": {
"type": "http",
"url": "http://192.168.1.132"
}
}
}Prompts to try
Example prompts to control the ESP32-CAM through an AI assistant.
- "Take a photo with the flash on and describe what you see"
- "Check the ESP32-CAM's memory usage and uptime"
- "Turn the LED on, wait a moment, then take a photo and turn it off"
- "What is the Wi-Fi signal strength of the camera?"Troubleshooting ESP32-CAM AI
MCP client cannot connect to the ESP32-CAM HTTP endpoint
Verify the IP address from the serial monitor is correct and that your computer and the ESP32-CAM are on the same Wi-Fi network. Firewalls or VLANs can block the connection — test with 'curl http://192.168.x.x' from your machine.
Firmware upload fails with 'port not found' or permission errors
On Linux/macOS, add your user to the dialout/uucp group: 'sudo usermod -a -G dialout $USER'. On macOS you may need a CH340/CP2102 USB-to-serial driver. Some ESP32-CAM boards require holding the BOOT button during upload.
Camera returns blank or corrupted images
Check that the camera ribbon cable is properly seated on the ESP32-CAM module. Insufficient power supply (less than 500mA) is a common cause of camera instability — use a dedicated 5V/1A supply rather than relying on the USB port alone.
Frequently Asked Questions about ESP32-CAM AI
What is ESP32-CAM AI?
ESP32-CAM AI is a Model Context Protocol (MCP) server that model context protocol (mcp) server implementation for esp32-cam that enables integration with a large language model (llm). the llm connects using this library to the esp32-cam offering remote camera control, led management, and system monitoring It connects AI assistants to external tools and data sources through a standardized interface.
How do I install ESP32-CAM AI?
Follow the installation instructions on the ESP32-CAM AI GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with ESP32-CAM AI?
ESP32-CAM AI works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is ESP32-CAM AI free to use?
Yes, ESP32-CAM AI is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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