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Connect Jira Cloud to ChatGPT, Claude and Gemini

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. Let your agent handle ticket updates and project tracking.

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 · 17 capabilities

We ship only the actions that matter.

Capability set01 / 05

01-04

4 capabilities in this set.

Part of 17 available through Jira Cloud.

  1. 01

    List users

    This capability retrieves all users in your Jira instance. Use it to find the account IDs or display names of team members for assignments.

  2. 02

    Search issues

    This capability uses Jira Query Language (JQL) to find specific tasks or bugs. It returns keys, summaries, and current statuses based on your filters.

  3. 03

    Update issue

    This capability modifies existing Jira issues. You provide a JSON string containing only the specific fields you want to change.

  4. 04

    Transition issue

    This capability moves an issue through your defined workflow. You'll need a transition ID to move a ticket from one status to another.

Capability set02 / 05

05-08

4 capabilities in this set.

Part of 17 available through Jira Cloud.

  1. 05

    Add comment

    This capability posts a comment to an issue's activity timeline. These comments are visible to everyone in the project.

  2. 06

    Assign issue

    This capability sets the assignee for a specific Jira issue. You can also use it to unassign a task by passing an empty string.

  3. 07

    Create issue

    This capability generates new tasks, bugs, or stories. You'll need to provide a project key and a summary to get started.

  4. 08

    Get issue

    This capability pulls the full details of a single issue. It provides descriptions, comments, priority, and status for a specific key.

Capability set03 / 05

09-11

3 capabilities in this set.

Part of 17 available through Jira Cloud.

  1. 09

    Get myself

    This capability returns information about the currently authenticated user. It's a quick way to check your own permissions.

  2. 10

    List projects

    This capability returns a list of all projects in your Jira instance. It provides the names, keys, and IDs for each project.

  3. 11

    List sprints

    This capability retrieves the sprints associated with a specific agile board. You'll need the board ID to run this.

Capability set04 / 05

12-14

3 capabilities in this set.

Part of 17 available through Jira Cloud.

  1. 12

    List statuses

    This capability shows all possible issue statuses across your Jira instance. Use it to understand your project workflows.

  2. 13

    List transitions

    This capability identifies the valid workflow transitions for a specific issue. It helps you find the right IDs for moving tickets.

  3. 14

    Get project

    This capability fetches details for a specific project. It returns the project lead, issue types, and categories.

Capability set05 / 05

15-17

3 capabilities in this set.

Part of 17 available through Jira Cloud.

  1. 15

    List dashboards

    This capability lists all available Jira dashboards. Use it to find high-level reporting capabilities.

  2. 16

    List issue types

    This capability provides a list of all issue types like Bug or Story. It's useful for ensuring your agent uses valid types when creating tasks.

  3. 17

    List priorities

    This capability retrieves the priority levels configured in your Jira instance. Use it to check task urgency.

Real work

What teams actually run

01

Automated Bug Reporting

Tell your agent to create a new bug in a specific project based on an error you just found in your logs.

02

Sprint Status Checks

Ask your agent for a summary of all active tasks in the current sprint to get a quick pulse on progress.

03

Rapid Task Assignment

Quickly assign a high-priority issue to a teammate by name through your chat interface.

04

Workflow Transitions

Move a ticket from 'In Progress' to 'Done' as soon as your code passes its tests.

Automate a task

Put Jira Cloud 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

Jira Cloud 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 Jira Cloud 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

948ms average. Fast in production.

Jira Cloud is checked daily against the live service.

Daily averagePeak 1241ms
Oct 3Today
Fastest day
741ms
Slowest day
1241ms
14-day trend
Slowing+5%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 17 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 Jira Cloud, so you can see the experience inside your AI.

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

Jira Cloud Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_eOfgP1oPmFAL2S9LXvdA0ItxMyuMGJkWJWMPRs4y/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 — Jira Cloud capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "jira-cloud-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_eOfgP1oPmFAL2S9LXvdA0ItxMyuMGJkWJWMPRs4y/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 Jira Cloud in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Jira Cloud owners hand off.

This MCP is built for technical teams who live in their IDEs but need to stay synced with Jira.

  • 01

    Software Engineers

    Update ticket statuses and create bugs without leaving the code editor.

  • 02

    Product Managers

    Query issue lists and check sprint progress through an AI agent.

  • 03

    QA Testers

    Report new bugs and add comments to existing issues via natural language.

FAQ

Questions Jira Cloud owners ask.

  • 01

    How do I connect this MCP to my Jira account?

    Vinkius hosts the MCP and manages the connection. You just need to provide your Jira credentials during the setup process in the Vinkius dashboard.

  • 02

    Can my agent use JQL to find issues?

    Yes, the search_issues capability is designed specifically to run JQL queries, allowing for very precise filtering.

  • 03

    Does this work with any AI client?

    It works with any client that supports the Model Context Protocol, such as Claude, Cursor, or Windsurf.

  • 04

    Can I move tickets through my custom workflows?

    Yes, by using the transition_issue capability along with list_transitions to find the correct IDs for your specific workflow.

  • 05

    Is my Jira data secure?

    Vinkius manages the authentication and credentials securely, ensuring your agent only performs actions you authorize.

  • 06

    How do I get Jira API credentials?

    You need your Jira instance domain (e.g., acme.atlassian.net), your account email, and an API Token. You can generate an API Token in your Atlassian Account Settings under Security > API Token.

  • 07

    What is JQL?

    JQL (Jira Query Language) is a powerful capability that allows you to search for issues in Jira using a structured query syntax.

  • 08

    Can I see private projects?

    Your AI agent will only be able to see projects and issues that your Atlassian account has permission to access.

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