interview-frameworks — AI Applyd MCP Resource

interview-frameworks is one of 3 resources on the AI Applyd MCP server. Connect the server and your client can attach it as context.

by client

How to attach interview-frameworks from your client

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

Other resources on this server

• ats-best-practices
• resume-section-order

AI Applyd also offers 3 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 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.