AI & Machine Learning

agundur.de

Checks whether a website is readable and citable by AI systems and verifies LocalBusiness Schema.

1 endpoint2 known toolsFirst detected July 25, 2026Last detected August 29, 2026

ENDPOINT 1

https://www.agundur.de/mcp.php

No auth detected

Capabilities

tools

Checks whether a website is readable and citable by AI systems (ChatGPT, Claude, Perplexity, Google AI Overviews).

Inferred read-only

Checks a website for LocalBusiness Schema.

Inferred read-only

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.agundur-mcp]
url = "https://www.agundur.de/mcp.php"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "agundur-mcp": {
      "type": "http",
      "url": "https://www.agundur.de/mcp.php"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: agundur-mcp
Remote MCP URL: https://www.agundur.de/mcp.php

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "agundur-mcp": {
      "url": "https://www.agundur.de/mcp.php"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "agundur-mcp": {
      "type": "http",
      "url": "https://www.agundur.de/mcp.php"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "agundur-mcp",
  "transport": "streamable-http",
  "url": "https://www.agundur.de/mcp.php"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

BuiltWith Trust API v2 evidence for agundur.de was fetched 2026-07-25T19:49:55.532Z and is being refreshed.

Trust status Trusted

agundur.de is assessed as Trusted: Domain has an established technology history spanning over a year.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.