Use Jira Cloud with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Manage projects, search issues, and track tasks via Jira Cloud API.
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.
Complete set · 17 capabilities
The complete Jira Cloud capability set.
These are the exact actions your AI can choose when you ask it to work with Jira Cloud.
01-04
4 capabilities in this set.
Part of 17 available through Jira Cloud.
- 01
List users
Use this to identify assignees, reporters, or team members by their display names or account IDs. Lists all users in Jira
- 02
Search issues
JQL allows powerful filtering (e.g., "project = MYPROJ AND status = Open"). Returns issue keys, summaries, and statuses. Use this as the main capability for finding tasks or bugs based on flexible criteria. Searches for issues using Jira Query Language (JQL)
- 03
Update issue
Provide only the fields you want to change as a JSON string. Update fields on an existing Jira issue
- 04
Transition issue
G., "To Do" → "In Progress" → "Done"). Requires a transition ID. use list_transitions to discover valid IDs for the current issue state. Move a Jira issue to a different workflow status
05-08
4 capabilities in this set.
Part of 17 available through Jira Cloud.
- 05
Add comment
The comment appears in the issue activity timeline visible to all project members. Add a comment to a Jira issue
- 06
Assign issue
Use list_users to discover account IDs. Pass an empty string to unassign. Assign a Jira issue to a specific user
- 07
Create issue
Requires the project key and a summary. Optionally set issue type (defaults to Task), description, and priority. Use list_issue_types and list_priorities to discover valid values for issuetype and priority names. Create a new Jira issue (task, bug, story, etc.)
- 08
Get issue
G., "PROJ-123"). Returns descriptions, comments, priority, status, and custom fields. Essential for providing a full context of a specific work item. Retrieves details for a specific issue
09-11
3 capabilities in this set.
Part of 17 available through Jira Cloud.
- 09
Get myself
Useful for verifying identity and permissions. Gets current authenticated user info
- 10
List projects
Returns project keys, names, and IDs. Use this to identify project keys before searching for specific issues. Lists all projects in Jira
- 11
List sprints
Requires the board ID which can be found in the board URL. List sprints for a Jira agile board
12-14
3 capabilities in this set.
Part of 17 available through Jira Cloud.
- 12
List statuses
G., "To Do", "In Progress", "Done") across the Jira instance. Useful for mapping the workflow steps of projects. Lists all issue statuses
- 13
List transitions
Use this to find transition IDs before using transition_issue. List available workflow transitions for an issue
- 14
Get project
G., "PROJ") or ID. Returns project lead, categories, and issue types. Use to understand the scope and configuration of a specific team's project. Retrieves details for a specific project
15-17
3 capabilities in this set.
Part of 17 available through Jira Cloud.
- 15
List dashboards
Useful for identifying high-level visual reporting capabilities available to the user. Lists all Jira dashboards
- 16
List issue types
G., "Bug", "Epic", "Story") available in the Jira instance. Useful for identifying valid types when searching or creating content. Lists all issue types
- 17
List priorities
G., "High", "Medium", "Low") configured in Jira. Useful for understanding task urgency and filtering search results. Lists all issue priorities
Observed, not estimated
899ms average. Fast in production.
Jira Cloud is checked daily against the live service.
- Fastest day
- 768ms
- Slowest day
- 1145ms
- 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.
https://edge.vinkius.com/vk_preview_eOfgP1oPmFAL2S9LXvdA0ItxMyuMGJkWJWMPRs4y/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Jira Cloud capabilities are ready to use.
{
"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
FAQ
Questions Jira Cloud owners ask.
- 01
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.
- 02
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.
- 03
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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