Build Agents in Relevance AI with Access to Live BigQuery Data via CData Connect AI

Yazhini G
Yazhini G
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Relevance AI to securely access and act on BigQuery data within intelligent agent workflows.

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 BigQuery 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 BigQuery connectivity in Connect AI, register the CData MCP Server in Relevance AI, and build an agent that interacts with live BigQuery data.

About BigQuery Data Integration

CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:

  • Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
  • Enhance data workflows with Bi-directional data access between BigQuery and other applications.
  • Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.

Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.

For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery


Getting Started


Step 1: Configure BigQuery Connectivity for Relevance AI

Connectivity to BigQuery from Relevance AI is made possible through CData Connect AI's Remote MCP Server. To interact with BigQuery data from Relevance AI, we start by creating and configuring a BigQuery connection in CData Connect AI.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Select BigQuery from the Add Connection panel
  3. BigQuery uses OAuth to authenticate. Click "Sign in" to authenticate with BigQuery.
  4. Navigate to the Permissions tab and update user-based permissions

Add a Personal Access Token

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.

  1. Click the gear icon () at the top right of the Connect AI app to open Settings
  2. On the Settings page, go to the Access Tokens section and click Create PAT
  3. Give the PAT a descriptive name and click Create
  4. Copy the token when displayed and store it securely. It will not be shown again

With the BigQuery connection configured and a PAT generated, Relevance AI can now connect to BigQuery data through the CData MCP Server.

Step 2: Configure Connectivity in Relevance 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.

  1. Sign in to Relevance AI and create an account if you do not already have one
  2. From the sidebar, navigate to Agents and then click on New Agent
  3. Select Build from scratch and name the agent (eg; CData MCP Server)
  4. Inside the agent editor, select Advanced and then switch to the MCP Server tab
  5. Click + Add Remote MCP Tools
  6. In the dialog that appears, fill out the fields as follows:
    • URL: https://mcp.cloud.cdata.com/mcp
    • Label: Any custom label (eg; cdata_mcp_server)
    • Authentication: Select Custom headers
    • Add header key:value pair. Combine your email and PAT as email:PAT and encode that string in Base64 and then prefix with the word Basic
      • Key: Authorization
      • Value: Basic base64(email:PAT)

Click Connect to establish the connection. Relevance AI will verify your credentials and register the CData Connect AI MCP Server for use in agents.

Step 3: Build and Run a Relevance AI Agent with Live BigQuery Data

  1. Switch to the Run tab for your agent
  2. Enter a task for example, "List the five most recent incidents from ServiceNow"
  3. The agent will query Connect AI via the MCP endpoint and display live results from BigQuery data

With the connection complete, Relevance AI agents can now issue queries, retrieve records, and perform AI-driven tasks over live BigQuery data through CData Connect AI MCP Server.

Get CData Connect AI

To access 300+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today!

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