jira-integration

---

name: jira-integration description: Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls. metadata: origin: ECC

Jira Integration Skill

Retrieve, analyze, and update Jira tickets directly from your AI coding workflow. Supports both MCP-based (recommended) and direct REST API approaches.

When to Activate

• Fetching a Jira ticket to understand requirements
• Extracting testable acceptance criteria from a ticket
• Adding progress comments to a Jira issue
• Transitioning a ticket status (To Do → In Progress → Done)
• Linking merge requests or branches to a Jira issue
• Searching for issues by JQL query

Prerequisites

Option A: MCP Server (Recommended)

Install the mcp-atlassian MCP server. This exposes Jira tools directly to your AI agent.

Requirements:

• Python 3.10+
• uvx (from uv), installed via your package manager or the official uv installation documentation

Add to your MCP config (e.g., ~/.claude.json → mcpServers):

{
  "jira": {
    "command": "uvx",
    "args": ["mcp-atlassian==0.21.0"],
    "env": {
      "JIRA_URL": "https://YOUR_ORG.atlassian.net",
      "JIRA_EMAIL": "your.email@example.com",
      "JIRA_API_TOKEN": "your-api-token"
    },
    "description": "Jira issue tracking — search, create, update, comment, transition"
  }
}

Security: Never hardcode secrets. Prefer setting JIRA_URL, JIRA_EMAIL, and JIRA_API_TOKEN in your system environment (or a secrets manager). Only use the MCP env block for local, uncommitted config files.

To get a Jira API token:

1. Go to https://id.atlassian.com/manage-profile/security/api-tokens
2. Click Create API token
3. Copy the token — store it in your environment, never in source code

Option B: Direct REST API

If MCP is not available, use the Jira REST API v3 directly via curl or a helper script.

Required environment variables:

Variable	Description
JIRA_URL	Your Jira instance URL (e.g., https://yourorg.atlassian.net)
JIRA_EMAIL	Your Atlassian account email
JIRA_API_TOKEN	API token from id.atlassian.com

Store these in your shell environment, secrets manager, or an untracked local env file. Do not commit them to the repo.

For direct curl examples, keep credentials out of command-line arguments by passing the Jira user config on stdin:

jira_curl() {
  printf 'user = "%s:%s"\n' "$JIRA_EMAIL" "$JIRA_API_TOKEN" |
    curl -s -K - "$@"
}

MCP Tools Reference

When the mcp-atlassian MCP server is configured, these tools are available:

Tool	Purpose	Example
jira_search	JQL queries	project = PROJ AND status = "In Progress"
jira_get_issue	Fetch full issue details by key	PROJ-1234
jira_create_issue	Create issues (Task, Bug, Story, Epic)	New bug report
jira_update_issue	Update fields (summary, description, assignee)	Change assignee
jira_transition_issue	Change status	Move to "In Review"
jira_add_comment	Add comments	Progress update
jira_get_sprint_issues	List issues in a sprint	Active sprint review
jira_create_issue_link	Link issues (Blocks, Relates to)	Dependency tracking
jira_get_issue_development_info	See linked PRs, branches, commits	Dev context

Tip: Always call jira_get_transitions before transitioning — transition IDs vary per project workflow.

Direct REST API Reference

Fetch a Ticket

jira_curl \
  -H "Content-Type: application/json" \
  "$JIRA_URL/rest/api/3/issue/PROJ-1234" | jq '{
    key: .key,
    summary: .fields.summary,
    status: .fields.status.name,
    priority: .fields.priority.name,
    type: .fields.issuetype.name,
    assignee: .fields.assignee.displayName,
    labels: .fields.labels,
    description: .fields.description
  }'

Fetch Comments

jira_curl \
  -H "Content-Type: application/json" \
  "$JIRA_URL/rest/api/3/issue/PROJ-1234?fields=comment" | jq '.fields.comment.comments[] | {
    author: .author.displayName,
    created: .created[:10],
    body: .body
  }'

Add a Comment

jira_curl -X POST \
  -H "Content-Type: application/json" \
  -d '{
    "body": {
      "version": 1,
      "type": "doc",
      "content": [{
        "type": "paragraph",
        "content": [{"type": "text", "text": "Your comment here"}]
      }]
    }
  }' \
  "$JIRA_URL/rest/api/3/issue/PROJ-1234/comment"

Transition a Ticket

# 1. Get available transitions
jira_curl \
  "$JIRA_URL/rest/api/3/issue/PROJ-1234/transitions" | jq '.transitions[] | {id, name: .name}'

# 2. Execute transition (replace TRANSITION_ID)
jira_curl -X POST \
  -H "Content-Type: application/json" \
  -d '{"transition": {"id": "TRANSITION_ID"}}' \
  "$JIRA_URL/rest/api/3/issue/PROJ-1234/transitions"

Search with JQL

jira_curl -G \
  --data-urlencode "jql=project = PROJ AND status = 'In Progress'" \
  "$JIRA_URL/rest/api/3/search"

Analyzing a Ticket

When retrieving a ticket for development or test automation, extract:

1. Testable Requirements

• Functional requirements — What the feature does
• Acceptance criteria — Conditions that must be met
• Testable behaviors — Specific actions and expected outcomes
• User roles — Who uses this feature and their permissions
• Data requirements — What data is needed
• Integration points — APIs, services, or systems involved

2. Test Types Needed

• Unit tests — Individual functions and utilities
• Integration tests — API endpoints and service interactions
• E2E tests — User-facing UI flows
• API tests — Endpoint contracts and error handling

3. Edge Cases & Error Scenarios

• Invalid inputs (empty, too long, special characters)
• Unauthorized access
• Network failures or timeouts
• Concurrent users or race conditions
• Boundary conditions
• Missing or null data
• State transitions (back navigation, refresh, etc.)

4. Structured Analysis Output

Ticket: PROJ-1234
Summary: [ticket title]
Status: [current status]
Priority: [High/Medium/Low]
Test Types: Unit, Integration, E2E

Requirements:
1. [requirement 1]
2. [requirement 2]

Acceptance Criteria:
- [ ] [criterion 1]
- [ ] [criterion 2]

Test Scenarios:
- Happy Path: [description]
- Error Case: [description]
- Edge Case: [description]

Test Data Needed:
- [data item 1]
- [data item 2]

Dependencies:
- [dependency 1]
- [dependency 2]

Updating Tickets

When to Update

Workflow Step	Jira Update
Start work	Transition to "In Progress"
Tests written	Comment with test coverage summary
Branch created	Comment with branch name
PR/MR created	Comment with link, link issue
Tests passing	Comment with results summary
PR/MR merged	Transition to "Done" or "In Review"

Comment Templates

Starting Work:

Starting implementation for this ticket.
Branch: feat/PROJ-1234-feature-name

Tests Implemented:

Automated tests implemented:

Unit Tests:
- [test file 1] — [what it covers]
- [test file 2] — [what it covers]

Integration Tests:
- [test file] — [endpoints/flows covered]

All tests passing locally. Coverage: XX%

PR Created:

Pull request created:
[PR Title](https://github.com/org/repo/pull/XXX)

Ready for review.

Work Complete:

Implementation complete.

PR merged: [link]
Test results: All passing (X/Y)
Coverage: XX%

Security Guidelines

• Never hardcode Jira API tokens in source code or skill files
• Always use environment variables or a secrets manager
• Add .env to .gitignore in every project
• Rotate tokens immediately if exposed in git history
• Use least-privilege API tokens scoped to required projects
• Validate that credentials are set before making API calls — fail fast with a clear message

Troubleshooting

Error	Cause	Fix
401 Unauthorized	Invalid or expired API token	Regenerate at id.atlassian.com
403 Forbidden	Token lacks project permissions	Check token scopes and project access
404 Not Found	Wrong ticket key or base URL	Verify JIRA_URL and ticket key
spawn uvx ENOENT	IDE cannot find uvx on PATH	Use full path (e.g., ~/.local/bin/uvx) or set PATH in ~/.zprofile
Connection timeout	Network/VPN issue	Check VPN connection and firewall rules

Best Practices

• Update Jira as you go, not all at once at the end
• Keep comments concise but informative
• Link rather than copy — point to PRs, test reports, and dashboards
• Use @mentions if you need input from others
• Check linked issues to understand full feature scope before starting
• If acceptance criteria are vague, ask for clarification before writing code