# Webcam MCP

> Use this tool when you need to capture high-resolution photos or record video sequences from a webcam, enabling autonomous agents to monitor environments and interact with the physical world. It solves problems in remote monitoring, surveillance, and human-computer interaction by providing direct access to webcam hardware through the Model Context Protocol. The Webcam MCP accepts commands and settings as input and outputs video and image data, making it ideal for use cases that require real-time visual data processing and analysis.

Canonical page: https://skillsregistry.net/skills/pavel-kirienko-webcam-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pavel-kirienko-webcam-mcp

## Description

An MCP server that provides LLM agents with direct access to webcam hardware for capturing high-resolution photos and recording video sequences. It enables autonomous agents to monitor environments and interact with the physical world through standard Model Context Protocol tools.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dz86uazjt9)
- **Repository:** <https://github.com/pavel-kirienko/webcam_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pavel-kirienko-webcam-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pavel-kirienko-webcam-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pavel-kirienko-webcam-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt