Analytics
sitedex.dev
Search and explore a directory of indexed websites, including AI visibility scores and page metadata.
ENDPOINT 1
https://mcp.sitedex.dev/mcp
MCP server metadata
- Name
- sitedex
- Version
- 2.0.0
Known tools 5
sitedex_list_sitesEvery website Sitedex has indexed, with name, category, page count, and AI Visibility Score.
Inferred read-onlysitedex_get_siteSite profile and headline AI Visibility Score for one domain — name, description, category, page count, the buyer questions the site answers, and which AI-readable artifacts (`llms.txt`, MCP card, WebMCP manifest, JSON-LD) the owner has installed.
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.sitedex]
url = "https://mcp.sitedex.dev/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"sitedex": {
"type": "http",
"url": "https://mcp.sitedex.dev/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: sitedex
Remote MCP URL: https://mcp.sitedex.dev/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": {
"sitedex": {
"url": "https://mcp.sitedex.dev/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"sitedex": {
"type": "http",
"url": "https://mcp.sitedex.dev/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "sitedex",
"transport": "streamable-http",
"url": "https://mcp.sitedex.dev/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 sitedex.dev was fetched 2026-08-21T11:33:18.768Z and is being refreshed.
sitedex.dev is assessed as RestrictedContent: Domain runs gambling-related technology.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.