Webcam/Screenshot Capture
This MCP webcam server, developed by llmindset.co.uk, enables AI models to capture and analyze live webcam images and screenshots. Built with React, Express, and TypeScript, it provides tools for taking webcam snapshots and full-screen captures, with a web interface for testing and configuration. The implementation focuses on simplifying visual input for AI, allowing models to perceive and interact with the user's environment in real-time. It's particularly useful for applications requiring visual context, such as AI assistants that can comment on what the user is showing them, analyze objects in view, or provide feedback on the user's surroundings.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/evalstate/mcp-webcam
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Webcam/Screenshot Capture from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.