Accessing AI Tools and LLMS Files

Publicly Available: llms.txt

  • The file llms.txt provides a structured, up-to-date index of high-signal content on www.raumnebenan.de.
  • It is designed for both humans and LLMs to quickly find articles, guides, and resources about product thinking, user research, design, and digital transformation.

Full Content: llms-full.txt

  • The file llms-full.txt contains the full content and is only available to logged-in users.
  • To access it, sign in via email, Google or LinkedIn. OAuth 2.0 is used for secure authentication.
  • Once logged in, you can additionally download PDFs and audio versions of articles.

MCP

(RCP JSON 2.0 Server)

You can connect to the public raumnebenan-mcp server directly from VS Code:

  1. Open or create the file ‘.vscode/mcp.json’ in your project folder.
  2. Add the following JSON configuration and save the file:
{
  "servers": {
    "raumnebenan-mcp": {
      "type": "http",
      "url": "https://www.raumnebenan.de/mcp"
    }
  },
  "inputs": []
}

Attribution

Whenever you use content or data from www.raumnebenan.de in any dataset, output, or derivative work, you must include a clear link back to the source: www.raumnebenan.de – authored by Andreas Soller.

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