Integrate OpenCode with Live Jira Data via CData Connect AI
OpenCode is an open source AI coding agent that connects to a wide range of LLM providers. It supports the model context protocol (MCP), allowing you to configure local or remote MCP servers in its configuration files to add external tools and data sources and give the agent access to live data.
By integrating OpenCode with CData Connect AI through the built-in MCP Server, OpenCode gains governed, real-time access to live Jira data. You can list catalogs, explore schemas, and query records from Jira data using natural language prompts, with all data access running securely against authorized sources.
This article explains how to configure Jira connectivity in Connect AI, generate the required personal access token, install OpenCode, add the Connect AI MCP Server in the project configuration file, configure an LLM provider, and verify the integration by querying live Jira data from OpenCode.
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 OpenCode
Connectivity to Jira from OpenCode is made possible through Connect AI's Remote MCP Server. To interact with Jira data from OpenCode, start by creating and configuring a Jira connection in Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select Jira from the Add Connection panel
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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 and update user-based permissions
Add a Personal Access Token
A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from OpenCode. It is best practice to create a separate PAT for each integration to maintain granular access control.
- Click the gear icon () at the top right of the Connect AI app to open Settings
- On the Settings page, go to the Access Tokens section and click Create PAT
- Give the PAT a descriptive name and click Create
- Copy the token when displayed and store it securely. It will not be shown again
With the Jira connection configured and a PAT generated, OpenCode can now connect to Jira data through Connect AI.
Step 2: Install OpenCode and configure the Connect AI MCP Server
Next, install OpenCode, add the Connect AI Remote MCP Server in your project configuration file, and configure an LLM provider so the agent can discover and call live data tools through Connect AI.
- Download and install OpenCode by following the official installation guide
- Create a new folder for your project, or open an existing project directory
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In the root of that directory, create a file named opencode.json and paste the following configuration:
{ "$schema": "https://opencode.ai/config.json", "mcp": { "cdata-connect-ai": { "type": "remote", "url": "https://mcp.cloud.cdata.com/mcp", "enabled": true, "oauth": false, "headers": { "Authorization": "Basic your_base64_encoded_email_PAT" }, "timeout": 30000 } } }Note: OpenCode will use Basic authentication with Connect AI. Combine your Connect AI user email and the PAT you created earlier in the format email:PAT, base64 encode the combined string, and prefix it with Basic. For example, given [email protected]:ABC123...XYZ789, the Authorization header value becomes something like: Basic dXNlckBkb21haW4uY29tOkFCQzEyMy4uLlhZWjc4OQ==
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Open the project directory in OpenCode. Select the project from the project dropdown, or click Add project to point OpenCode at the folder that contains opencode.json
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Configure an LLM provider so the agent can interpret prompts and call MCP tools. Open the model selector (Ctrl + '), choose a provider such as OpenAI, Anthropic, or Google, and enter your API key
With the MCP server added in opencode.json and an LLM provider configured, OpenCode is ready to query live Jira data through Connect AI.
Step 3: Query live Jira data from OpenCode
With the integration complete, use OpenCode to interact with live Jira data through natural language prompts handled by the configured LLM.
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In a new session, type a prompt in the chat input, for example:
- Use the cdata-connect-ai tools to list all available catalogs
- Show the available schemas and tables for Jira
- Query the top 5 records from a table in Jira
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OpenCode calls the Connect AI MCP Server and returns live results from Jira data
At this point, OpenCode communicates with the Connect AI MCP Server and retrieves live Jira data through remote MCP tools directly from your AI coding agent.
Get CData Connect AI
To access hundreds of SaaS, big data, and NoSQL sources directly from your cloud applications, try CData Connect AI today. Download a free 14-day trial of CData Connect AI, and our Support Team is available to help with any questions you have.