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Relevance AI is an AI automation and agent-building platform that enables organizations to create autonomous workflows powered by natural language reasoning. Users can visually design agents that interact with APIs, databases, and third-party systems to complete everyday business tasks or data operations.
By integrating Relevance AI with CData Connect AI through the built-in MCP (Model Context Protocol) Server, your agents can query, summarize, and act on live Google Analytics data in real time. This connection bridges Relevance AI intelligent workflow engine with the governed enterprise connectivity of CData Connect AI ensuring every query runs securely against authorized sources without manual data export.
This article outlines the steps to configure Google Analytics connectivity in Connect AI, register Connect AI in Relevance AI, and build an agent that interacts with live Google Analytics data.
Connectivity to Google Analytics from Relevance AI is made possible through CData Connect AI's Remote MCP Server. To interact with Google Analytics data from Relevance AI, we start by creating and configuring a Google Analytics connection in CData Connect AI.
A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Relevance AI. It is best practice to create a separate PAT for each integration to maintain granular access control.
With the Google Analytics connection configured and a PAT generated, Relevance AI can now connect to Google Analytics data through Connect AI.
The CData Connect AI MCP endpoint and authorization details are registered within Relevance AI so that agents can call live data from Connect AI.
Click Connect to establish the connection. Relevance AI will verify your credentials and register the CData Connect AI MCP Server for use in agents.
With the connection complete, Relevance AI agents can now issue queries, retrieve records, and perform AI-driven tasks over live Google Analytics data through CData Connect AI MCP Server.
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