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Connect Atlassian Jira Confluence to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Access project data and enterprise knowledge instantly.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 9 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-03

3 capabilities in this set.

Part of 9 available through Atlassian.

  1. 01

    Get page

    Get Confluence page rich text content

  2. 02

    Get issue

    Get Jira issue details by exact key

  3. 03

    Get myself

    Get current authenticated user information

Capability set02 / 03

04-06

3 capabilities in this set.

Part of 9 available through Atlassian.

  1. 04

    List boards

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

  2. 05

    List projects

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

  3. 06

    List spaces

    List all Confluence spaces

Capability set03 / 03

07-09

3 capabilities in this set.

Part of 9 available through Atlassian.

  1. 07

    List sprints

    List sprints for a specific Jira board

  2. 08

    Search issues

    Search Jira issues with JQL

  3. 09

    Search content

    Search Confluence content with CQL

Real work

What teams actually run

01

Debugging a Feature

A developer asks the agent to find all high-priority bugs related to the payment system. The agent uses search_issues to pull the relevant tickets and then uses get_page to pull the API spec from Confluence.

02

Preparing a Release Summary

A Product Manager asks the agent to summarize all completed epics from the last two sprints. The agent lists sprints and searches issues to compile the necessary data points.

03

Onboarding a New Team Member

A new hire asks the agent where to find the company's guidelines for API usage. The agent searches Confluence content using search_content and provides the direct link and summary.

04

Auditing Project Scope

A Scrum Master asks the agent to list all available projects and then list the active boards for the core backend team to ensure nothing is missed.

Automate a task

Put Atlassian to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Atlassian works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Atlassian to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

877ms average. Fast in production.

Atlassian is checked daily against the live service.

Daily averagePeak 1077ms
Oct 3Today
Fastest day
751ms
Slowest day
1077ms
14-day trend
Slowing+23%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 9 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Atlassian, so you can see the experience inside your AI.

It does not authenticate your account with Atlassian. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Atlassian Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_4C51G3YFBR6QZGObvjzYxf2HTyIK8zjnkSC7foXq/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Atlassian capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "atlassian-jira-confluence-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_4C51G3YFBR6QZGObvjzYxf2HTyIK8zjnkSC7foXq/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Atlassian in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Atlassian owners hand off.

This MCP is built for technical and product teams that live inside the Atlassian suite. If your job requires constant switching between bug trackers, sprint boards, and documentation wikis, this connector centralizes that access for your AI agent.

  • 01

    Engineering Teams

    Check current sprint bugs, retrieve spec documents from Confluence, and trace tickets without leaving your IDE.

  • 02

    Product Managers

    Pull exact criteria from tickets, summarize complete epics, and draft release notes dynamically.

  • 03

    Scrum Masters

    Audit sprints, aggregate blockers across boards, and build real-time project views effortlessly.

  • 04

    Customer Support

    Quickly query Confluence for troubleshooting guides and documentation before replying to customer inquiries.

FAQ

Questions Atlassian owners ask.

  • 01

    Does this MCP support complex Jira queries?

    Yes. The MCP includes a dedicated capability to search issues using JQL (Jira Query Language). This lets your agent find tickets based on complex criteria like status, priority, and assignee.

  • 02

    Can I search documentation in Confluence?

    Absolutely. The agent uses CQL (Confluence Query Language) to search content across your entire wiki. You can find specific documentation pages or general knowledge articles by keyword.

  • 03

    Do I need to manually list projects first?

    No. While you can list all projects using list_projects, the agent is designed to use the context provided by the user's request to target the correct domain or board automatically.

  • 04

    Is this connector secure?

    Yes. The MCP requires you to enter your Atlassian Domain, Email, and API Token, and Vinkius hosts the connection securely, managing the credentials for your agent.

  • 05

    What kind of data does it retrieve from Confluence?

    It retrieves the full textual content of rich wiki pages. You can get the complete text of a page using get_page, or search for snippets using search_content.

  • 06

    Can my AI write JQL or CQL queries for me automatically?

    Yes. AI models are exceptionally good at transforming natural phrases like 'find all high-priority bugs open in project X' into structurally valid JQL (project = X AND priority = High AND status = Open). The same applies to CQL searches in Confluence.

  • 07

    How does the agent handle Confluence pages with heavy formatting or macros?

    The integration extracts the core text node data of the page. This guarantees that your AI agent only consumes dense factual text (like code snippets and bullet instructions) without wasting token context on layout elements.

  • 08

    Am I limited to only Jira Software or does this include Jira Service Management?

    The unified underlying Atlassian API allows JQL queries across almost all generic issue types within your authorized Domain instance. You can search bugs in Jira Software or service requests residing structurally alongside them equally.

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