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Shelfmark

MCP server · by Dankaro-projects

Developer Tools Python v0.4.9

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

View source ↗ More servers

Install

Run one of the commands below, then add the client config underneath.

Pythonuvx shelfmark

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

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

About this server

Shelfmark is listed in the Developer Tools category of the MCPNav directory. It is distributed as Python and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the Shelfmark MCP server?

Shelfmark is an MCP server by Dankaro-projects. Local, privacy-first document catalogue for AI agents: metadata-only discovery, no cloud, no RAG.

How do I install Shelfmark?

Install it with: uvx shelfmark. Then add the JSON config to your client's MCP settings and restart the client.

Is Shelfmark free to use?

The MCP server itself is free to install. The source is public on https://github.com/Dankaro-projects/shelfmark. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Shelfmark?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.