Jira MCP
Jira MCP server — manage Jira issues, sprints, and projects through natural language AI interaction.
// Add to your client
{
"mcpServers": {
"jira": {
"command": "uvx",
"args": ["mcp-atlassian"],
"env": {
"JIRA_URL": "https://your-domain.atlassian.net",
"JIRA_USERNAME": "your-email@example.com",
"JIRA_API_TOKEN": "<your-jira-api-token>"
}
}
}
}Paste into your client's MCP configuration file.
// Try it now
"List all Jira issues assigned to me that are not in Done status"
- ! Requires a Jira API token plus your Atlassian account email — the token alone is not enough
- ! Cloud and Server/Data Center versions behave differently — some operations are Cloud-only
- ! Custom fields have non-obvious internal IDs — you'll often need to look them up the first time
API key or simple config
// When to use
- Your team uses Jira as the source of truth for tickets and sprints
- You need to file bugs or stories from conversation without context-switching
- You want to run sprint planning queries through conversation
- You're coordinating cross-project work and need to pull issue lists by filter
// When NOT to use
- You use Linear, GitHub Issues, or Shortcut (use those specific servers)
- You need to edit Jira automations, workflows, or custom field schemes
- You need Confluence integration — use a separate Confluence server
// Usage Scenarios
Sprint Triage
Pull all issues in the active sprint, flag blockers, and suggest re-prioritization.
Example prompt
"Show me all issues in the current sprint with status 'Blocked' and summarize why each is stuck"
Bug Filing
Turn a bug description into a properly-formatted Jira ticket in the right project.
Example prompt
"Create a Jira bug in project PAY titled 'Checkout fails on Safari' with the repro steps I just described"
Cross-Project Reporting
Run JQL-style queries to pull issues across multiple projects for status reports.
Example prompt
"Find all issues labeled 'security' across all projects that aren't closed"
// About
Plain English
Imagine telling your AI: 'Create a Jira ticket for the payment bug and add it to the current sprint' or 'What issues are blocking the release?' — and it runs Jira for you. This server connects your AI to Atlassian Jira so it can create, update, search, and manage issues, sprints, and projects.
The Jira MCP server connects AI assistants to Atlassian Jira. Create and update issues, manage sprints, query issue lists, track project progress, and interact with Jira's full API — through conversation.
Reduces context switching for engineering teams that use Jira for project management while coding.
// Use Cases
- Create and update Jira issues without leaving your editor
- Query sprint status and backlog through conversation
- Triage and prioritize issues with AI assistance
- Generate release notes from completed Jira issues
// Works With
// Also Consider
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