Use Manus AI to Talk to Your Jira Data via CData Connect AI
Manus AI is an autonomous AI agent platform that helps users accomplish complex tasks through natural language from browsing the web to executing code and interacting with external services. When combined with CData Connect AI remote MCP, users can leverage Manus AI to interact with their Jira data in real-time, without any data replication.
This article explains how to connect to Jira using the CData Connect AI MCP Server and configure Manus AI to conversationally explore (or Vibe Query) their Jira data. With Connect AI, users can build AI agents with access to live Jira data, plus hundreds of other sources.
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 Manus AI
Connectivity to Jira from Manus AI is made possible through CData Connect AI Remote MCP. To interact with Jira data from Manus AI, we start by creating and configuring a Jira connection in CData Connect AI.
-
Log into Connect AI, click Connections and click Add Connection
-
Select "Jira" from the Add Connection panel
-
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.
Click Save & Test
-
Navigate to the Permissions tab in the Add Jira 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 Manus AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
-
Give the PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured and a PAT generated, we are ready to connect to Jira data from Manus AI.
Step 2: Get started with Manus AI
Navigate to Manus and sign in to your Manus AI account. Once logged in, you are ready to configure the CData Connect AI MCP Server as a custom connector.
Step 3: Add the CData Connect AI MCP Server as a connector
Manus AI supports connecting to external MCP servers via its Connectors settings. There are two methods to add the CData Connect AI MCP Server: Import by JSON or Direct Configuration. Both methods are explained below.
-
In Manus AI, click on the profile icon and navigate to Settings
-
Go to the Connectors section and click Add Connectors
-
Locate Custom MCP
-
Click Add custom MCP to select the configuration options
Option A: Import by JSON
Use this method to quickly configure the MCP Server by pasting a JSON configuration snippet.
- Select Import by JSON from the connector setup options.
-
Paste the following JSON into the configuration field, replacing the placeholder values with your Connect AI credentials:
{ "mcpServers": { "cdata-connect-ai": { "transport": "sse", "url": "https://mcp.cloud.cdata.com/mcp", "headers": { "Authorization": "Basic USER_NAME:YOUR_CONNECTAI_PAT;" } } } }Replace url with the Connect AI MCP URL, USER_NAME with your Connect AI email address, and YOUR_CONNECTAI_PAT with the Personal Access Token created in Step 1.
- Click Import to apply the configuration.
Option B: Direct Configuration
Use this method to manually enter the MCP Server connection properties through the Manus AI interface.
- Select Direct Configuration from the connector setup options.
-
Fill in the following fields:
- Server Name: CData Connect AI
- Transport Type: HTTP
- Server URL: https://mcp.cloud.cdata.com/mcp
- Custom Headers: Add a header with the name Authorization and the value Basic Base64Encoded(username:pat), replacing the placeholder with your Base64-encoded Connect AI email and PAT combination.
- Optionally, enter a Note to provide Manus AI with instructions on how and when to use this MCP connector.
- Click Save to establish the connection to the CData Connect AI MCP Server. Once saved, the connector will appear as active in your Connectors list.
Step 4: Query your Jira data using natural language
With the CData Connect AI MCP configured in Manus AI, users can now interact with their Jira data using natural language in any new Manus AI chat session.
- Open a new chat in Manus AI.
-
Start asking questions about the Jira data. For example:
- Show me all customers from the last 30 days
- What are my top performing products?
- Analyze sales trends for Q4
- List all active projects with their current status
-
Manus AI will use the CData Connect AI MCP Server to query your Jira data in real-time and provide responses based on live data.
Get CData Connect AI
To get live data access to 350+ SaaS, big data, and NoSQL sources directly from your cloud applications, try CData Connect AI today!