review_my_resume — AI Applyd MCP Prompt
review_my_resume
is one of 3 prompts on the
AI Applyd
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke review_my_resume from your client
- Claude Code AI Applyd Prompt/review_my_resume run in your project directory
- Claude Desktop AI Applyd Prompt/review_my_resume ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor AI Applyd Prompt/review_my_resume ~/.cursor/mcp.json
- VS Code AI Applyd Prompt/review_my_resume .vscode/mcp.json
- Zed AI Applyd Prompt/review_my_resume ~/.config/zed/settings.json
- Windsurf AI Applyd Prompt/review_my_resume ~/.codeium/windsurf/mcp_config.json
- Cline AI Applyd Prompt/review_my_resume ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI AI Applyd Prompt/review_my_resume ~/.gemini/settings.json
- Grok AI Applyd Prompt/review_my_resume .mcp.json (in your project root)
- ChatGPT AI Applyd Prompt/review_my_resume Settings → Connectors → Advanced → Developer mode
- Claude.ai AI Applyd Prompt/review_my_resume Settings → Connectors → Add custom connector
- LangChain AI Applyd Prompt/review_my_resume pip install langchain-mcp-adapters
Other prompts on this server
AI Applyd also offers 3 resources — data you attach as context, where a prompt is something you run.
Read from the server itself, by connecting to it and calling prompts/list on 24 September 2026.
A listing does not declare its prompts, 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 prompt's arguments.