Shelfmark for Cursor

io.github.dankaro-projects/shelfmark

Local, privacy-first document catalogue for AI agents: metadata-only discovery, no cloud, no RAG.

client:Cursor transport:stdio runtime:pypi

Install Shelfmark in Cursor

~/.cursor/mcp.json · windows: %USERPROFILE%\.cursor\mcp.json

{
  "mcpServers": {
    "shelfmark": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "shelfmark"
      ]
    }
  }
}

Use .cursor/mcp.json in a project root instead to scope it to that project. Cursor merges both. Cursor docs