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ucplist.ai

Searches for UCP merchants, platforms, payment handlers, and developer tools.

1 endpoint1 known toolsFirst detected July 29, 2026Last detected July 29, 2026

ENDPOINT 1

https://ucplist.ai/api/mcp

No auth detected

MCP server metadata

Name
ucplist
Version
1.0.0
Capabilities
tools
Server instructions

Use search_listings to find UCP merchants, platforms, payment handlers, and tools.

Known tools 1

search_listings

Search UCP merchants, platforms, payment handlers, and developer tools.

Potential side effects

CONNECT 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.ucplist]
url = "https://ucplist.ai/api/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "ucplist": {
      "type": "http",
      "url": "https://ucplist.ai/api/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: ucplist
Remote MCP URL: https://ucplist.ai/api/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": {
    "ucplist": {
      "url": "https://ucplist.ai/api/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "ucplist": {
      "type": "http",
      "url": "https://ucplist.ai/api/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "ucplist",
  "transport": "streamable-http",
  "url": "https://ucplist.ai/api/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 ucplist.ai was fetched 2026-07-31T22:48:17.771Z.

Trust status Neutral

ucplist.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

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