Grounded answer — DeepSearch MCP Resource

Grounded answer is one of 4 resources on the DeepSearch MCP server. Connect the server and your client can attach it as context.

by client

How to attach Grounded answer from your client

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

Other resources on this server

• Candidate people
• Public footprint dossier
• deepsearch-people-search

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.