How to Connect to Live Elasticsearch 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 Elasticsearch 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 Elasticsearch 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 Elasticsearch data. You will be able to interact with your live Elasticsearch 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 Elasticsearch 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 Elasticsearch account with valid credentials.

Overview

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

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

About Elasticsearch Data Integration

Accessing and integrating live data from Elasticsearch has never been easier with CData. Customers rely on CData connectivity to:

  • Access both the SQL endpoints and REST endpoints, optimizing connectivity and offering more options when it comes to reading and writing Elasticsearch data.
  • Connect to virtually every Elasticsearch instance starting with v2.2 and Open Source Elasticsearch subscriptions.
  • Always receive a relevance score for the query results without explicitly requiring the SCORE() function, simplifying access from 3rd party tools and easily seeing how the query results rank in text relevance.
  • Search through multiple indices, relying on Elasticsearch to manage and process the query and results instead of the client machine.

Users frequently integrate Elasticsearch data with analytics tools such as Crystal Reports, Power BI, and Excel, and leverage our tools to enable a single, federated access layer to all of their data sources, including Elasticsearch.

For more information on CData's Elasticsearch solutions, check out our Knowledge Base article: CData Elasticsearch Driver Features & Differentiators.


Getting Started


Step 1: Configure Elasticsearch Connectivity for Mistral

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

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

    Set the Server and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.

    The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.

    Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.

  4. Click Save & Test.
  5. Navigate to the Permissions tab in the Add Elasticsearch 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 Elasticsearch data from Mistral AI workflows.


Step 2: Configure the MCP Connector in Mistral Le Chat

With your Elasticsearch 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 Elasticsearch data.


Step 3: Query Live Elasticsearch Data from Mistral AI

Now that your MCP connector is configured in Le Chat, you can begin querying live Elasticsearch 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 Elasticsearch 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?

Learn more about CData Connect AI or sign up for free trial access:

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