Use Grok to Talk to Your Cvent Data via CData Connect AI

Anusha M B
Anusha M B
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Grok AI to securely answer questions and take actions on your Cvent data for you.

Grok AI is a large language model developed by xAI for real-time reasoning, tool invocation, and agentic workflows. It enables developers to build AI agents that can reason over live data, discover tools dynamically, and take intelligent actions.

CData Connect AI provides a secure cloud-to-cloud interface for integrating hundreds of enterprise data sources with Grok AI. Using Connect AI, live Cvent data is exposed through a remote MCP endpoint without replication, allowing Grok AI agents to securely query and analyze governed enterprise data in real time.

Step 1: Configure Cvent in CData Connect AI

To enable Grok to query live Cvent data, first create a Cvent connection in CData Connect AI. This connection is exposed through the CData Remote MCP Server.

  1. Log into Connect AI, click Sources, and then click Add Connection. Adding a connection
  2. Select "Cvent" from the Add Connection panel. Selecting a data source
  3. Enter the required authentication properties.

    Before you can authenticate to Cvent, you must create a workspace and an OAuth application.

    Creating a Workspace

    To create a workspace:

    1. Sign into Cvent and navigate to App Switcher (the blue button in the upper right corner of the page) >> Admin.
    2. In the Admin menu, navigate to Integrations >> REST API.
    3. A new tab launches for Developer Management. Click on Manage API Access in the new tab.
    4. Create a Workspace and name it. Select the scopes you would like your developers to have access to. Scopes control what data domains the developer can access.
      • Choose All to allow developers to choose any scope, and any future scopes added to the REST API.
      • Choose Custom to limit the scopes developers can choose for their OAuth apps to selected scopes. To access all tables exposed by the driver, you need to set the following scopes:
        event/attendees:readevent/attendees:writeevent/contacts:read
        event/contacts:writeevent/custom-fields:readevent/custom-fields:write
        event/events:readevent/events:writeevent/sessions:delete
        event/sessions:readevent/sessions:writeevent/speakers:delete
        event/speakers:readevent/speakers:writebudget/budget-items:read
        budget/budget-items:writeexhibitor/exhibitors:readexhibitor/exhibitors:write
        survey/surveys:readsurvey/surveys:write

    Creating an OAuth Application

    After you have set up a Workspace and invited them, developers can sign up and create a custom OAuth app. See the Creating a Custom OAuth Application section in the Help documentation for more information.

    Connecting to Cvent

    After creating an OAuth application, set the following connection properties to connect to Cvent:

    • InitiateOAuth: GETANDREFRESH. Used to automatically get and refresh the OAuthAccessToken.
    • OAuthClientId: The Client ID associated with the OAuth application. You can find this on the Applications page in the Cvent Developer Portal.
    • OAuthClientSecret: The Client secret associated with the OAuth application. You can find this on the Applications page in the Cvent Developer Portal.
    Configuring connection properties Click Create & Test.
  4. Open the Permissions tab and configure user access. Updating permissions

Add a Personal Access Token

A Personal Access Token (PAT) authenticates MCP requests from Agno to CData Connect AI.

  1. Open Settings and navigate to Access Tokens.
  2. Click Create PAT.
  3. Save the generated token securely. Creating a PAT

Step 2: Install required dependencies

Remote MCP Tools allow Grok to connect to external MCP (Model Context Protocol) servers, extending its capabilities with custom tools from third parties or your own implementations. Simply specify a server URL and optional configuration xAI manages the MCP server connection and interaction on your behalf.

Open the terminal and install the required dependencies for the MCP integration using pip.

	pip install xai-sdk==1.4.0

The xai-sdk (v1.4.0) enables Remote MCP tools, and python-dotenv is used to securely load environment variables.

	pip install python-dotenv

Step 3: Generate an xAI API key

  1. Create or login to xAI account
  2. Open xAI API console
  3. Navigate to API Keys
  4. Click on API Keys
  5. Click on create API key
  6. Select create API keys

After generating an API key, user need to save it somewhere safe. Recommended option is to export it as an environment variable in your terminal or save it to a .env file.

Step 4: Connect to CData Connect AI

Initialize the Grok client and configure the MCP connection to CData Connect AI. The code below establishes a secure connection and sends a natural language query to your data source.

import os

from xai_sdk import Client
from xai_sdk.chat import user
from xai_sdk.tools import mcp

client = Client(api_key="Your_xAI-API_KEY")
chat = client.chat.create(
	model="grok-4-1-fast-non-reasoning",
	tools=[
		mcp(
			server_url="https://mcp.cloud.cdata.com/mcp",
			extra_headers={"Authorization": "Basic Username:PAT"} #Base64 Encoded Username:PAT
		)
		],
	include=["verbose_streaming"],
)

chat.append(user("List the top two catalogs for me please"))

is_thinking = True
for response, chunk in chat.stream():
	# View the server-side tool calls as they are being made in real-time
	for tool_call in chunk.tool_calls:
		print(f"
Calling tool: {tool_call.function.name} with arguments: {tool_call.function.arguments}")
	if response.usage.reasoning_tokens and is_thinking:
		print(f"
Thinking... ({response.usage.reasoning_tokens} tokens)", end="", flush=True)
	if chunk.content and is_thinking:
		print("

Final Response:")
		is_thinking = False
	if chunk.content and not is_thinking:
		print(chunk.content, end="", flush=True)

print("

Usage:")
print(response.usage)
print(response.server_side_tool_usage)
print("

Server Side Tool Calls:")
print(response.tool_calls)

This code initializes the Grok AI client, connects to CData Connect AI via MCP using Basic Authentication, and streams the response in real-time. The agent automatically discovers available tools, invokes them to query your live data, and displays both the tool calls and final results.

Run the script to see Grok query your connected data source.

Query Results

The output shows Grok invoking MCP tools through CData Connect AI and returning live data from your connected source.

Result

User can now query live data using natural language through Grok AI.

Build agentic workflows with Grok and CData Connect AI

Combining Grok AI with CData Connect AI delivers AI-powered data access without pipelines or custom integrations. Start your free trial today to see how CData can empower Grok with live, secure access to hundreds of external systems.

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