eCommerce
uncommonartwork.com
MCP server providing tools to search and retrieve artwork listings, artist/gallery profiles, and exhibitions from the Uncommon Artwork marketplace.
ENDPOINT 1
https://uncommonartwork.com/mcp
MCP server metadata
- Name
- uncommon-artwork
- Version
- 1.0.0
Use this server to find public artists, listed artwork, and current exhibitions on Uncommon Artwork. Return canonical artist-site URLs when citing work. Do not use it to generate images, write to a studio, check out, or treat Uncommon as a generic website builder.
Known tools 4
search_artworksSearch publicly listed artwork on Uncommon Artwork (marketplace / shop).
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.uncommon-artwork]
url = "https://uncommonartwork.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"uncommon-artwork": {
"type": "http",
"url": "https://uncommonartwork.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: uncommon-artwork
Remote MCP URL: https://uncommonartwork.com/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": {
"uncommon-artwork": {
"url": "https://uncommonartwork.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"uncommon-artwork": {
"type": "http",
"url": "https://uncommonartwork.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "uncommon-artwork",
"transport": "streamable-http",
"url": "https://uncommonartwork.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.