How to Connect to Live SingleStore Data in Mistral AI Workflows and Agents (via CData Connect AI)

Mohsin Turki
Mohsin Turki
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Mistral AI to securely access, query, and take action on live SingleStore data without replication.

Mistral AI is a frontier AI company that builds enterprise-grade open-source and commercial large language models (LLMs). With Mistral, you can train, fine-tune, and deploy agents anywhere – on premises, in the cloud, or at the edge – while retaining full control of your data. Its agent-ready platform enables multilingual and multimodal AI that can search, create, code, automate, and collaborate securely, with support for memory and extended context handling.

CData Connect AI provides a secure cloud-to-cloud interface for easily integrating 350+ enterprise data sources with Mistral AI. Through CData Connect AI, Mistral AI agents can query, analyze, and act on live SingleStore data in real time, without replication. Connect AI manages authentication, security, and query optimization so you can focus on building intelligent workflows, while Mistral handles reasoning and natural language interaction.

In this guide, we will use Mistral AI's Le Chat, Mistral's customizable conversational chatbot, along with CData Connect AI to connect to live SingleStore data. You will be able to interact with your live SingleStore data directly in Mistral AI workflows – running queries and automating tasks securely.

The setup takes just a few minutes, and once connected, you will have your own chatbot agent intelligently conversing with your live SingleStore data.

Let's begin.

Prerequisites

  1. A Mistral AI account – Sign up or log in here.
  2. A CData Connect AI account – Sign up or log in here.
  3. An active SingleStore account with valid credentials.

Overview

Here is a quick overview of the steps we will follow:

  1. Connect: Add a connection to SingleStore in CData Connect AI using your credentials.
  2. Configure: Create a custom MCP connection in Mistral AI Le Chat that points to your SingleStore connection in CData Connect AI.
  3. Query: Interact with live SingleStore data in Mistral AI workflows – running queries and taking actions using natural language.

Step 1: Configure SingleStore Connectivity for Mistral

Connectivity to SingleStore from Mistral AI is made possible through CData Connect AI Remote MCP. To interact with SingleStore data from Mistral, we start by creating and configuring a SingleStore connection in CData Connect AI.

  1. Log into Connect AI, click Sources, and then click Add Connection.
  2. Select "SingleStore" from the Add Connection panel.
  3. Enter the necessary authentication properties to connect to SingleStore.

    The following connection properties are required in order to connect to data.

    • Server: The host name or IP of the server hosting the SingleStore database.
    • Port: The port of the server hosting the SingleStore database.
    • Database (Optional): The default database to connect to when connecting to the SingleStore Server. If this is not set, tables from all databases will be returned.

    Connect Using Standard Authentication

    To authenticate using standard authentication, set the following:

    • User: The user which will be used to authenticate with the SingleStore server.
    • Password: The password which will be used to authenticate with the SingleStore server.

    Connect Using Integrated Security

    As an alternative to providing the standard username and password, you can set IntegratedSecurity to True to authenticate trusted users to the server via Windows Authentication.

    Connect Using SSL Authentication

    You can leverage SSL authentication to connect to SingleStore data via a secure session. Configure the following connection properties to connect to data:

    • SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
    • SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
    • SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
    • SSLClientCertType: The certificate type of the client store.
    • SSLServerCert: The certificate to be accepted from the server.

    Connect Using SSH Authentication

    Using SSH, you can securely login to a remote machine. To access SingleStore data via SSH, configure the following connection properties:

    • SSHClientCert: Set this to the name of the certificate store for the client certificate.
    • SSHClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
    • SSHClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
    • SSHClientCertType: The certificate type of the client store.
    • SSHPassword: The password that you use to authenticate with the SSH server.
    • SSHPort: The port used for SSH operations.
    • SSHServer: The SSH authentication server you are trying to authenticate against.
    • SSHServerFingerPrint: The SSH Server fingerprint used for verification of the host you are connecting to.
    • SSHUser: Set this to the username that you use to authenticate with the SSH server.
  4. Click Save & Test.
  5. Navigate to the Permissions tab in the Add SingleStore Connection page and update the user-based permissions.

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Mistral AI. It is a best practice to create a separate PAT for each service to maintain fine-grained access control.

  1. Click on the gear icon () at the top right of the Connect AI app to open the Settings page.
  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. Note: The PAT is only visible at creation, so be sure to copy and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to SingleStore data from Mistral AI workflows.


Step 2: Configure the MCP Connector in Mistral Le Chat

With your SingleStore connection and PAT created in CData Connect AI, the next step is to configure a custom MCP connector inside Mistral Le Chat.

  1. Log into Le Chat.
  2. From the left-hand menu, click on Intelligence, then select Connectors. Click Add Connector.
  3. In the dialog, select Custom MCP Connector and enter the following details:
    • Connector Name: For example, CData_Remote_MCP.
    • Connector Server: https://mcp.cloud.cdata.com/mcp (found in the "Connect Data to AI" ribbon in Connect AI).
    • Authentication Method: API Token Authentication.
    • Header Name: Authorization.
    • Header Value: Basic [email protected]:YourPAT (replace "[email protected]" with your CData Connect AI email and "YourPAT" with the PAT created earlier in above format).
  4. Click Connect to establish the connection.
  5. Scroll down to the bottom of the Connections section to confirm that your MCP connection is successfully established.

This step ensures that Mistral Le Chat can securely route queries through the CData Remote MCP Server to your live SingleStore data.


Step 3: Query Live SingleStore Data from Mistral AI

Now that your MCP connector is configured in Le Chat, you can begin querying live SingleStore data directly in your conversations.

  1. In Le Chat, click on Chats in the left menu to start a new chat.
  2. Enable your MCP connector by clicking the Enable Tools button.
  3. Run a discovery query such as Get Catalogs or Get Tables to see the available data sources and schemas connected through CData Connect AI.
  4. Test the connection by running a simple query. For example: "Compare the win rate of Opportunities across different industries."

And that's it! You can now interact with live SingleStore data conversationally inside Mistral Le Chat.


Build Complex AI Agents with CData Connect AI

With the integration complete, you can go beyond simple queries and build complex, multi-step AI agents. These agents can combine reasoning from Mistral AI with secure, real-time access to your enterprise data through CData Connect AI, enabling workflows such as sales forecasting, support triage, customer trend analysis, and more.

Try CData Connect AI for free today and use the full power of Mistral AI agents with secure, live access to your enterprise data.

Ready to get started?

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