visibility-score — AI Visibility Checker MCP Resource

visibility-score is one of 1 resource on the AI Visibility Checker MCP server. Connect the server and your client can attach it as context.

by client

How to attach visibility-score from your client

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

Read from the server itself, by connecting to it and calling resources/list on 24 September 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.