Jira Cloud Connector for AI agents.

17 live capabilities

Manage your software development projects and sprint tasks with natural language.

Live agent request Jira Cloud / Connector

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AI Agent

Why people use Jira Cloud

Jira Cloud : Automate your Jira project management and ticket updates

With this Connector, that manual work disappears. You can just tell your agent to Move the front-end bugs to QA or Create a new task for the API refactor. The agent does the clicking for you, updating the statuses and creating the records in the background. You get to stay in your flow while your project stays organized.

What Vinkius changes

You get a way to manage your entire Jira backlog using natural language commands.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

Real-world use case 01

The Bug Triage

A QA lead asks the agent to find all high priority bugs in the Mobile App project and list them in a table.
Real-world use case 02

The Sprint Update

A developer tells the agent they finished a feature, and the agent moves the ticket to Done and adds a comment.
Real-world use case 03

The New Requirement

A product manager describes a new feature to the agent, which then creates a new Story in the correct project.

Complete set · 17capabilities

The complete Jira Cloud capability set.

These are the exact actions your AI can choose when you ask it to work with Jira Cloud.

Capability set01 / 05

01—04

4 capabilities in this set.

Part of 17 available through Jira Cloud.

01 Capability
List users
Find team members by their names or IDs. This is how the agent knows who to assign tasks to.
02 Capability
Search issues
Use JQL to find specific tasks or bugs. This is the main way to query your entire backlog.
03 Capability
Update issue
Change specific fields on an existing Jira ticket. You can update anything from priority to description.
04 Capability
Transition issue
Move a Jira issue to a different workflow status. Use this to advance tasks through your pipeline.

Capability set02 / 05

05—08

4 capabilities in this set.

Part of 17 available through Jira Cloud.

05 Capability
Add comment
Post a new comment on a Jira issue. This keeps your team updated on progress in the activity timeline.
06 Capability
Assign issue
Give a Jira issue to a specific team member. Use an empty string if you need to unassign the task.
07 Capability
Create issue
Make a new task, bug, or story. You can set the summary, priority, and description in one go.
08 Capability
Get issue
Pull up the full details of a specific work item. This gives your agent the context it needs to help you.

Capability set03 / 05

09—11

3 capabilities in this set.

Part of 17 available through Jira Cloud.

09 Capability
Get myself
Check your own account details and permissions. This helps the agent know what you're allowed to see.
10 Capability
List projects
See a list of every project in your Jira instance. This helps identify the right keys for your searches.
11 Capability
List sprints
View the sprints for a specific agile board. Use this to see what's planned for the current cycle.

Capability set04 / 05

12—14

3 capabilities in this set.

Part of 17 available through Jira Cloud.

12 Capability
List statuses
See all possible statuses across your Jira instance. This is helpful for mapping out your team's workflow.
13 Capability
List transitions
Find the valid next steps for a specific issue. You need these IDs to move tasks through your workflow.
14 Capability
Get project
Get the lead, categories, and types for a specific project. This clarifies the scope of a team's work.

Capability set05 / 05

15—17

3 capabilities in this set.

Part of 17 available through Jira Cloud.

15 Capability
List dashboards
See all the visual reporting capabilities available to you. This helps you find high-level summaries.
16 Capability
List issue types
See all types like Bugs or Epics in your instance. This ensures you're creating the right kind of task.
17 Capability
List priorities
See the urgency levels configured in your Jira. Use this to filter your searches for the most important work.

Set up in minutes

One URL. Then ask Jira Cloud to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Jira Cloud from the conversation.

Choose your client

Live preview

Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_eOfgP1oPmFAL2S9LXvdA0ItxMyuMGJkWJWMPRs4y/mcp

Step 01

Open Connectors

In Claude Web or Claude Desktop, open Settings and choose Connectors.
Step 02

Add the URL

Choose Add custom connector, name it Jira Cloud, and paste the URL above.
Step 03

Turn it on in chat

Select +, open Connectors, and enable Jira Cloud for the conversation.

ChatGPT · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_eOfgP1oPmFAL2S9LXvdA0ItxMyuMGJkWJWMPRs4y/mcp

Step 01

Open MCP settings

On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
Step 02

Add the URL

Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Jira Cloud URL.
Step 03

Save and start

Save the connection and enable Jira Cloud in your conversation. Desktop may ask you to restart once.

Cursor · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "jira-cloud": {
      "url": "https://edge.vinkius.com/vk_preview_eOfgP1oPmFAL2S9LXvdA0ItxMyuMGJkWJWMPRs4y/mcp"
    }
  }
}

Step 01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Step 02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens
Step 03

Save the file

Cursor will automatically detect the new Connector
Step 04

Start using Jira Cloud

Open Agent mode in chat and ask: "Using Jira Cloud, help me...". 17 tools available

VS Code Copilot · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "jira-cloud": {
      "url": "https://edge.vinkius.com/vk_preview_eOfgP1oPmFAL2S9LXvdA0ItxMyuMGJkWJWMPRs4y/mcp"
    }
  }
}

Step 01

Create MCP config

Create a .vscode/mcp.json file in your project root
Step 02

Add the server config

Paste the JSON configuration above
Step 03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Step 04

Start using Jira Cloud

Ask Copilot: "Using Jira Cloud, help me...". 17 tools available

Windsurf · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "jira-cloud": {
      "url": "https://edge.vinkius.com/vk_preview_eOfgP1oPmFAL2S9LXvdA0ItxMyuMGJkWJWMPRs4y/mcp"
    }
  }
}

Step 01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Step 02

Add the server

Paste the JSON configuration above into mcp_config.json
Step 03

Save and reload

Windsurf will detect the new server automatically
Step 04

Start using Jira Cloud

Open Cascade and ask: "Using Jira Cloud, help me...". 17 tools available

Cline · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "jira-cloud": {
      "url": "https://edge.vinkius.com/vk_preview_eOfgP1oPmFAL2S9LXvdA0ItxMyuMGJkWJWMPRs4y/mcp"
    }
  }
}

Step 01

Open Cline MCP Settings

Click the Connectors icon in the Cline sidebar panel
Step 02

Add remote server

Click "Add Connector" and paste the configuration above
Step 03

Enable the server

Toggle the server switch to ON
Step 04

Start using Jira Cloud

Ask Cline: "Using Jira Cloud, help me...". 17 tools available

Claude Code · Terminal command

Official guide ↗

Advanced setup

claude mcp add jira-cloud --transport http "https://edge.vinkius.com/vk_preview_eOfgP1oPmFAL2S9LXvdA0ItxMyuMGJkWJWMPRs4y/mcp"

Step 01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed
Step 02

Add the Connector

Run the command above in your terminal
Step 03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session
Step 04

Start using Jira Cloud

Ask Claude: "Using Jira Cloud, show me...". 17 tools are ready

Where the request belongs

Work Jira Cloud can move forward.

Built around the request

For the project manager who spends half their day in Jira and the developer who hates manual status updates. It's for anyone who wants their AI to actually know what's happening in their sprint.

01

Project Manager

Checking project health and updating sprint priorities on the fly.

02

Software Engineer

Quickly finding related bugs and adding technical comments to tickets.

03

QA Tester

Moving issues through the testing workflow and reporting blockers.

When one Connector is not enough

Combine Jira Cloud with the systems that finish the task.

View all recipes

MCP Workflow to Sync Sprint Knowledge

Your sprint ended, 14 tickets are done, and the PM is asking 'so what shipped?' , because nobody updated the Confluence release page since February

MCP Workflow to Triage GitHub Bugs Into Jira

Your AI agent triages bugs across Jira and GitHub, then emails the right person with full context

Build the capability set

Each Connector adds new actions and data without changing how you work.

Browse Connectors

01 31 capabilities

Jira Software Cloud

Manage Jira Software Agile workflows. list boards, track sprints, manage backlogs, and inspect epics directly from your AI agent.

02 10 capabilities

Jira Service Management (JSM)

Manage service desks, customer requests, and queues via Jira JSM API.

03 9 capabilities

Atlassian (Jira & Confluence)

The ultimate AI bridge for Jira and Confluence. manage projects, agile boards, and wikis via AI.

04 6 capabilities

Yodiz

Manage user stories, sprints, bugs, and epics on Yodiz. the all-in-one agile project management and issue tracking capability.

05 Managed Connector

Pivotal Tracker

Manage agile projects via Pivotal Tracker. list stories, track epics, and update tasks directly from any AI agent.

06 8 capabilities

ZenHub

Manage agile boards, epics, and estimates via the ZenHub API.

Bring your own AI

Change the model, client or framework. Keep Jira Cloud connected.

Before you connect

Questions about Jira Cloud.

The practical details behind the request, access and result.

Can the Jira Cloud MCP help me manage my sprint?

Yes, it can list your current sprints and help you move tasks between different statuses as you work.

Will this Connector work with my existing Jira Cloud account?

It connects directly to your Jira Cloud instance so you can manage your actual projects and issues.

Can I use the Jira Cloud MCP to search for specific bugs?

You can ask your agent to find issues using specific criteria like project keys, priorities, or assignee names.

How does the Jira Cloud MCP handle assigning tasks?

It can find team members by name and assign tickets to them, or even unassign them if you need to.

Can I create new issues using the Jira Cloud MCP?

Yes, you can have your agent create new tasks, bugs, or stories with specific summaries and descriptions.

Does the Jira Cloud MCP support JQL?

It allows your agent to use Jira Query Language to perform complex searches across your entire backlog.

Can I see my project dashboards with this Connector?

You can list the dashboards available in your Jira instance to get a high-level view of your project's health.

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.

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.

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.

One connection away

Give your agent a direct line to Jira Cloud.

Connect Jira Cloud once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available