Analytics
attribuly.com
Retrieves ad attribution and order-level data for marketing analytics.
ENDPOINT 1
https://data.api.attribuly.com/mcp
MCP server metadata
- Name
- Attribuly mcp http
- Version
- 1.0.0
Known tools 9
get_all_attribution_detail_dataGet all-channel attribution order-level detail data
Inferred read-onlyget_attributed_ordersGet unified order-level attributed orders for MCP questions such as top Facebook customers, multi-touch orders, new vs returning share, and paid campaign orders
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.attribuly-mcp-http]
url = "https://data.api.attribuly.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"attribuly-mcp-http": {
"type": "http",
"url": "https://data.api.attribuly.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: attribuly-mcp-http
Remote MCP URL: https://data.api.attribuly.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": {
"attribuly-mcp-http": {
"url": "https://data.api.attribuly.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"attribuly-mcp-http": {
"type": "http",
"url": "https://data.api.attribuly.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "attribuly-mcp-http",
"transport": "streamable-http",
"url": "https://data.api.attribuly.com/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 attribuly.com was fetched 2026-07-30T23:32:48.652Z and is being refreshed.
attribuly.com is assessed as Trusted: Domain has an established technology history spanning over a year.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.