Cascayd MCP · ask your attribution data

Ask your AI assistant about your pipeline.

Connect the Cascayd MCP server to an MCP-compatible assistant and ask about channels, pipeline, and revenue in plain English.

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Illustrative sample. Percentages are placeholders.
Cascayd answer
via MCP

Which channels drove Q3 pipeline?

Google Ads led Q3 pipeline; Meta and LinkedIn followed.

  • 01Google Ads46%
  • 02Meta31%
  • 03LinkedIn23%

Assistant request

A question about your workspace data.

MCP server
Read-only scope

Your Cascayd data

  • Touchpoints
  • Pipeline
  • Revenue
  • Attribution

One connected path

Your question travels to Cascayd, then comes back with an answer.

The Cascayd MCP server gives an MCP-compatible assistant read access to your attribution data, so answers can come from your workspace.

Setup

From config to a clear answer.

  1. 01

    Add the server

    One config entry points your assistant to Cascayd.

    "cascayd"MCP server
  2. 02

    Approve read access

    Grant the server read access without write actions.

    Workspace accessRead-only scope
  3. 03

    Ask in plain English

    Ask a question about your data.

    QQuestion about a channel, campaign, or metric
    AA concise answer from your workspace data
    Illustrative Q → A flow

Questions, answered.

What is the Cascayd MCP server?

It is a Model Context Protocol server that connects your AI assistant to your Cascayd workspace, so the assistant can read your attribution, pipeline, and revenue data and answer questions about it.

What is MCP?

MCP, the Model Context Protocol, is an open standard that lets AI assistants connect to external tools and data sources through a consistent interface. Cascayd exposes your data through it.

Which AI assistants work with it?

Use an assistant that supports the Model Context Protocol. Add the Cascayd server in its MCP settings, then ask questions about your workspace.

What data can my assistant access?

Read access to your Cascayd data: touchpoints, pipeline, revenue, and attribution results. The assistant reads only your workspace, and only what you allow.

Is it secure?

Cascayd MCP is designed for authenticated, read-only access, so your assistant can answer questions without write actions in Cascayd.

MCP compatibility

Connect with an assistant that supports the Model Context Protocol.

Put your attribution data one question away.

Connect the Cascayd MCP server to your AI assistant and ask about pipeline and revenue without leaving your tools.

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