Guide: shot-vocabulary — AI Video Atlas MCP Resource

Guide: shot-vocabulary is one of 28 resources on the AI Video Atlas MCP server. Connect the server and your client can attach it as context.

by client

How to attach Guide: shot-vocabulary from your client

Claude Code AI Video Atlas Resource/Guide: shot-vocabulary run in your project directory
Claude Desktop AI Video Atlas Resource/Guide: shot-vocabulary ~/Library/Application Support/Claude/claude_desktop_config.json
Cursor AI Video Atlas Resource/Guide: shot-vocabulary ~/.cursor/mcp.json
VS Code AI Video Atlas Resource/Guide: shot-vocabulary .vscode/mcp.json
Zed AI Video Atlas Resource/Guide: shot-vocabulary ~/.config/zed/settings.json
Windsurf AI Video Atlas Resource/Guide: shot-vocabulary ~/.codeium/windsurf/mcp_config.json
Cline AI Video Atlas Resource/Guide: shot-vocabulary ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
Gemini CLI AI Video Atlas Resource/Guide: shot-vocabulary ~/.gemini/settings.json
Grok AI Video Atlas Resource/Guide: shot-vocabulary .mcp.json (in your project root)
ChatGPT AI Video Atlas Resource/Guide: shot-vocabulary Settings → Connectors → Advanced → Developer mode
Claude.ai AI Video Atlas Resource/Guide: shot-vocabulary Settings → Connectors → Add custom connector
LangChain AI Video Atlas Resource/Guide: shot-vocabulary pip install langchain-mcp-adapters

Other resources on this server

AI Video Atlas also offers 4 prompts — things you invoke, where a resource is context you attach.

Read from the server itself, by connecting to it and calling resources/list on 11 October 2026. A listing does not declare its resources, so asking is the only way to know them, and this is what the server actually offers rather than what its listing claims. Names only are stored; connect the server for each resource's type and contents.

AI Video Atlas MCP server