OpticMCP
Provides camera and vision tools for AI assistants to list available cameras, capture images from USB cameras, and save frames to disk for use with LLMs.
What is OpticMCP?
OpticMCP is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provides camera and vision tools for ai assistants to list available cameras, capture images from usb cameras, and save frames to disk for use with llms.
Provides camera and vision tools for AI assistants to list available cameras, capture images from USB cameras, and save frames to disk for use with LLMs.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Provides camera and vision tools for AI assistants to list a
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx opticmcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about OpticMCP
What is OpticMCP?
OpticMCP is a Model Context Protocol (MCP) server that provides camera and vision tools for ai assistants to list available cameras, capture images from usb cameras, and save frames to disk for use with llms. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install OpticMCP?
Follow the installation instructions on the OpticMCP GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with OpticMCP?
OpticMCP works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is OpticMCP free to use?
Yes, OpticMCP is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Developer Tools MCP Servers
Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up OpticMCP in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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