Catalog
affaan-m/jira-integration

affaan-m

jira-integration

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.

global
origin:ECC
New~2.2k
v1.2Saved Jul 14, 2026

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

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.jsonmcpServers):

{
  "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
Files1
1 files · 1.0 KB

Select a file to preview

Overall Score

86/100

Grade

A

Excellent

Safety

88

Quality

85

Clarity

88

Completeness

82

Summary

A Jira integration skill that enables AI agents to retrieve, analyze, and update Jira tickets via MCP or direct REST API. The skill provides patterns for fetching issues, extracting requirements and acceptance criteria, adding comments, transitioning tickets, and searching with JQL. It emphasizes secure credential handling via environment variables and includes comprehensive examples for both MCP tools and REST API approaches.

Static Analysis Findings

1 finding

Patterns detected by deterministic static analysis before AI scoring. Hover over any finding code for detailed information and remediation guidance.

Credential Exposure
SEC-020Direct .env File Access

Direct .env file access

SKILL.md.env

Detected Capabilities

credential-handling (environment variables)REST API calls (curl)MCP tool invocationJSON parsing (jq)Jira API interactionenvironment-variable reading

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

fetch jira ticketjira requirements analysisupdate jira statusjira api integrationextract acceptance criterialink pr to jira

Risk Signals

INFO

Direct .env file access mentioned in security guidelines

SKILL.md | Security Guidelines section
INFO

Environment variables used for credential storage (JIRA_EMAIL, JIRA_API_TOKEN)

SKILL.md | Prerequisites and Option B sections
INFO

API token generation and storage workflow documented

SKILL.md | Option A Prerequisites

Referenced Domains

External domains referenced in skill content, detected by static analysis.

github.comid.atlassian.comyour_org.atlassian.netyourorg.atlassian.net

Use Cases

  • Fetch a Jira ticket to understand feature requirements before implementation
  • Extract testable acceptance criteria and test scenarios from an issue
  • Add progress comments to a Jira ticket as work is completed (e.g., tests written, PR created)
  • Transition a ticket status through workflow (To Do → In Progress → Done)
  • Link a pull request or branch to a Jira issue for traceability
  • Search for open issues using JQL queries to find related work

Quality Notes

  • Strength: Comprehensive security section explicitly warns against hardcoding credentials and recommends environment variables or secrets managers.
  • Strength: Provides both MCP (recommended) and direct REST API fallback options, enabling flexibility in different environments.
  • Strength: Detailed examples for all major Jira operations (fetch, comment, transition, search) with jq formatting for readability.
  • Strength: Clear prerequisite steps for obtaining API tokens from official Atlassian URLs.
  • Strength: Well-structured analysis template for extracting requirements, acceptance criteria, test scenarios, and edge cases.
  • Strength: Practical comment templates for common workflow updates (starting work, tests written, PR created, work complete).
  • Strength: Troubleshooting table covers common errors and recovery steps.
  • Opportunity: Skill could include more guidance on MCP error handling and fallback to REST API if MCP server fails.
  • Opportunity: No guidance on rate limiting or batch operations when handling large JQL result sets.
Model: claude-haiku-4-5-20251001Analyzed: Jul 14, 2026

Reviews

Add this skill to your library to leave a review.

No reviews yet

Be the first to share your experience.

Version History

v1.2

Content updated

2026-07-14

Latest
v1.1

Content updated

2026-04-20

v1.0

No changelog

2026-04-12

Use affaan-m/jira-integration in your dev environment

Command Palette

Search for a command to run...