ai-footprints-mcp - Agent-First Bookmark Manager¶
AI 足迹 (AI Footprints) MCP Server - let your AI agents manage your digital footprints: bookmarks, reading history, knowledge trails, and web discoveries. Bilingual (Chinese + English).
Installation¶
npx -y ai-footprints-mcp
Config¶
{
"mcpServers": {
"ai-footprints": { "command": "npx", "args": ["-y", "ai-footprints-mcp"] }
}
}
Key Tools¶
| Tool | Description |
|---|---|
save_bookmark |
Save a URL with tags and notes |
search_footprints |
Search your bookmark/knowledge library |
get_reading_list |
Retrieve unread items by priority |
export_trail |
Export your knowledge trail for review |
Operator Use Cases¶
- Research-heavy operators: let your AI agent save and organize discoveries
- Knowledge workers: build a searchable trail of everything you've read/learned
- Teams: share digital footprints across the team's AI agents
Integration with CorpusIQ¶
CorpusIQ is the connector layer that lets AI assistants read the systems a business already runs on - accounting, payments, CRM, email, files and analytics - and answer with the source named. It is read-only by design: it retrieves data and never writes to, or acts in, a connected system, which is what makes it safe to point at live accounts.
This page is part of the CorpusIQ directory, the reference we maintain for the MCP server and agent-skill ecosystem. Run alongside CorpusIQ, a third-party server like this one can be combined with a company's own business data in a single answer.