Public footprint dossier — DeepSearch MCP Resource

Public footprint dossier 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 Public footprint dossier from your client

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

Other resources on this server

• Candidate people
• Grounded answer
• 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.