How to Use the Jira Software Cloud MCP in Mastra AI

Q: How do I register Jira Software Cloud tools with Mastra AI?

Instantiate the MCPClient pointing to your Vinkius server URL and call listTools. Spread these tools directly into your agent configuration to grant it access to the 31 available agile endpoints.

Q: Does Mastra AI support human approval before modifying Jira Software Cloud issues?

Yes, you can use the requireToolApproval modifier on sensitive tools like setissueestimation or updatesprint. The workflow pauses until a human approves the proposed changes, preventing unwanted updates.

Run automated, multi-step Jira Software Cloud workflows with Mastra AI agents.

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Connect Jira Software Cloud MCP to Mastra AI

Create your Vinkius account to connect Jira Software Cloud to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Jira Software Cloud with Mastra AI

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Automate Sprint Transitions and Retries

The `update_sprint` tool lets your Mastra AI agent start or close sprints based on external triggers. If a sprint transition fails due to open issues, Mastra's workflow engine triggers automatic retries with exponential backoff. You can define conditional paths that check `get_sprint_issues` before attempting to close the sprint. Remaining blockers are automatically routed to the backlog or sent to the team.

Approve Jira Board Actions via Mastra AI

This MCP Server exposes `create_board` to let agents set up new team workspaces automatically. Mastra AI's `requireToolApproval` flag forces the agent to pause and ask for human confirmation before creating any new boards. Cluttering your Jira instance with accidental or duplicate boards is no longer a risk. You maintain full control over your agile setup while letting the agent handle the setup work.

Sync Builds and Incidents Automatically

The `submit_builds` and `submit_incidents` tools feed raw operational data back into Jira. Mastra AI agents run these MCP tools as part of post-deployment workflows, linking successful builds directly to tickets. If a production incident occurs, the agent calls `submit_incidents` to flag the affected issues immediately. This keeps your development panel accurate without manual status updates.

Setup guide

Set up Jira Software Cloud MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Jira Software Cloud tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "jira-software-cloud-mcp-client",
  servers: {
    "jira-software-cloud-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Jira Software Cloud Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Jira Software Cloud tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Jira Software Cloud transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jira Software Cloud. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Jira Software Cloud MCP in Mastra AI

Instantiate the `MCPClient` pointing to your Vinkius server URL and call `listTools`. Spread these tools directly into your agent configuration to grant it access to the 31 available agile endpoints.

Yes, Mastra's workflow engine excels at chaining MCP tools like `get_board_backlog` and `move_issues_to_sprint`. You can build complex pipelines that clean up backlogs and populate new sprints based on custom logic.

Yes, you can use the `requireToolApproval` modifier on sensitive tools like `set_issue_estimation` or `update_sprint`. The workflow pauses until a human approves the proposed changes, preventing unwanted updates.

Mastra AI uses built-in backoff strategies when executing tools like `rank_issues` in bulk. If Jira returns a rate limit error, the agent backs off and retries automatically without failing the workflow.

Your board configurations and development metrics are protected by zero-trust V8 isolates. The MCP Server processes requests ephemerally, ensuring that no credentials or board layouts are stored on our infrastructure.

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