VOOZH about

URL: https://www.cdata.com/kb/tech/jira-cloud-mistral.rst

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

How to Connect to Live Jira 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 Jira 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 hundreds of enterprise data sources with Mistral AI. Through CData Connect AI, Mistral AI agents can query, analyze, and act on live Jira 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 Jira data. You will be able to interact with your live Jira 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 Jira 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 Jira account with valid credentials.

Overview

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

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

About Jira Data Integration

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

  • Gain bi-directional access to their Jira objects like issues, projects, and workflows.
  • Use SQL stored procedures to perform functional actions like changing issues status, creating custom fields, download or uploading an attachment, modifying or retrieving time tracking settings, and more.
  • Authenticate securely using a variety of methods, including username and password, OAuth, personal access token, API token, Crowd or OKTA SSO, LDAP, and more.

Most users leverage CData solutions to integrate Jira data with their database or data warehouse, whether that's using CData Sync directly or relying on CData's compatibility with platforms like SSIS or Azure Data Factory. Others are looking to get analytics and reporting on live Jira data from preferred analytics tools like Tableau and Power BI.

Learn more about how customers are seamlessly connecting to their Jira data to solve business problems from our blog: Drivers in Focus: Collaboration Tools.


Getting Started


Step 1: Configure Jira Connectivity for Mistral

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

  1. Log into Connect AI, click Sources, and then click Add Connection.
    2. 👁 Adding a Connection
  2. Select "Jira" from the Add Connection panel.
    3. 👁 Selecting a data source
  3. Enter the necessary authentication properties to connect to Jira.

    To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.

    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test.
  5. Navigate to the Permissions tab in the Add Jira Connection page and update the user-based permissions. 👁 Updating 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. 👁 Creating a new PAT
  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 Jira data from Mistral AI workflows.


Step 2: Configure the MCP Connector in Mistral Le Chat

With your Jira 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. 👁 Logging into Mistral Le Chat
  2. From the left-hand menu, click on Intelligence, then select Connectors. Click Add Connector. 👁 Adding a new 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).
    👁 Configuring the MCP connection
  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. 👁 MCP connection established

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


Step 3: Query Live Jira Data from Mistral AI

Now that your MCP connector is configured in Le Chat, you can begin querying live Jira 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. 👁 Enabling MCP tools in Le Chat
  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. 👁 Listing connected catalogs and tables
  4. Test the connection by running a simple query. For example: "Compare the win rate of Opportunities across different industries." 👁 Viewing visual query results (Salesforce is shown)
    👁 Viewing tabular query results (Salesforce is shown)

And that's it! You can now interact with live Jira 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.