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Atlassian (Jira & Confluence) MCP Server for Mastra AI 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Atlassian (Jira & Confluence) through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "atlassian-jira-confluence": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Atlassian (Jira & Confluence) Agent",
    instructions:
      "You help users interact with Atlassian (Jira & Confluence) " +
      "using 9 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Atlassian (Jira & Confluence)?"
  );
  console.log(result.text);
}

main();
Atlassian (Jira & Confluence)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Atlassian (Jira & Confluence) MCP Server

Transform your Atlassian Jira and Confluence instance into a conversational command center for your AI agent. This integration bridges the gap between complex agile workflows and actionable intelligence, allowing your agent to audit Jira issues, manage active sprints, and retrieve deep knowledge from Confluence wikis through natural language. Whether you're tracking a bug's lifecycle or auditing enterprise documentation, your agent acts as a direct, real-time navigator across your Atlassian ecosystem, ensuring your team stays aligned and data-driven without manual dashboard hopping.

Mastra's agent abstraction provides a clean separation between LLM logic and Atlassian (Jira & Confluence) tool infrastructure. Connect 9 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

What you can do

  • Jira Issues & Search — Search issues using complex JQL, view exact tickets, or manage epics and stories seamlessly through your agent.
  • Agile Boards & Sprints — List active boards, explore historical sprints, and get an overarching view of project health effortlessly.
  • Confluence Wikis & Pages — Search across enterprise documentation using CQL, list spaces, and extract the full textual content of rich wiki pages.
  • Project & Identity Oversight — Browse available projects and see the identity mappings of the current user automatically.
  • Knowledge Retrieval — Stream rendered HTML or textual properties of specific Confluence pages directly into your conversation context.

The Atlassian (Jira & Confluence) MCP Server exposes 9 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Atlassian (Jira & Confluence) to Mastra AI via MCP

Follow these steps to integrate the Atlassian (Jira & Confluence) MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 9 tools from Atlassian (Jira & Confluence) via MCP

Why Use Mastra AI with the Atlassian (Jira & Confluence) MCP Server

Mastra AI provides unique advantages when paired with Atlassian (Jira & Confluence) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Atlassian (Jira & Confluence) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Atlassian (Jira & Confluence) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Atlassian (Jira & Confluence) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Atlassian (Jira & Confluence) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Atlassian (Jira & Confluence), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Atlassian (Jira & Confluence) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Atlassian (Jira & Confluence) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Atlassian (Jira & Confluence) tools alongside other MCP servers

Atlassian (Jira & Confluence) MCP Tools for Mastra AI (9)

These 9 tools become available when you connect Atlassian (Jira & Confluence) to Mastra AI via MCP:

01

get_issue

Get Jira issue details by exact key

02

get_myself

Get current authenticated user information

03

get_page

Get Confluence page rich text content

04

list_boards

Often used before retrieving backlogs or active sprints. List all Jira agile boards

05

list_projects

Useful for discovering project keys needed for querying specific domains or boards. List all Jira projects

06

list_spaces

List all Confluence spaces

07

list_sprints

List sprints for a specific Jira board

08

search_content

Search Confluence content with CQL

09

search_issues

Search Jira issues with JQL

Example Prompts for Atlassian (Jira & Confluence) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Atlassian (Jira & Confluence) immediately.

01

"Get my active Jira sprint tickets related to frontend errors."

02

"Find Confluence wiki pages detailing the 'Payment Gateway API' architecture."

03

"List all active boards and the sprints currently running in them."

Troubleshooting Atlassian (Jira & Confluence) MCP Server with Mastra AI

Common issues when connecting Atlassian (Jira & Confluence) to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Atlassian (Jira & Confluence) + Mastra AI FAQ

Common questions about integrating Atlassian (Jira & Confluence) MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Atlassian (Jira & Confluence) to Mastra AI

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.