eCommerce
pixdress.de
Searches and retrieves clothing design details like price, sizes, shipping, and ordering, with capability to generate new motifs.
ENDPOINT 1
https://pixdress.de/mcp
MCP server metadata
- Name
- pixdress
- Version
- 1.0.0
pixdress sells all-over-print clothing with AI-generated motifs. Search the catalogue first; if nothing fits, build a creation link with design_link and hand it to the user — pixdress can invent a motif that does not exist yet. Never complete a purchase on the user's behalf.
Known tools 3
get_designFull details for one design: price, available sizes, shipping cost, delivery time, return policy and the order URL.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.pixdress]
url = "https://pixdress.de/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"pixdress": {
"type": "http",
"url": "https://pixdress.de/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: pixdress
Remote MCP URL: https://pixdress.de/mcp
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": {
"pixdress": {
"url": "https://pixdress.de/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"pixdress": {
"type": "http",
"url": "https://pixdress.de/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "pixdress",
"transport": "streamable-http",
"url": "https://pixdress.de/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for pixdress.de was fetched 2026-08-23T14:01:17.122Z.
pixdress.de is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.