Atlassian MCP Expert

SkillDocs & knowledge

Lets your agent search and update Jira tickets and Confluence pages, including managing sprints and backlogs.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Atlassian MCP Expert skill

About this capability

Integrates with Atlassian products to manage project tracking and documentation via MCP protocol. Use when querying Jira issues with JQL filters, creating and updating tickets with custom fields, searching or editing Confluence pages with CQL, managing sprints and backlogs, setting up MCP server aut

What this skill tells your AI

The instructions your AI receives, as published by jeffallan/claude-skills in skills/atlassian-mcp/SKILL.md and read by ahel’s review.

When to Use This Skill

  • Querying Jira issues with JQL filters
  • Searching or creating Confluence pages
  • Automating sprint workflows and backlog management
  • Setting up MCP server authentication (OAuth/API tokens)
  • Syncing meeting notes to Jira tickets
  • Generating documentation from issue data
  • Debugging Atlassian API integration issues
  • Choosing between official vs open-source MCP servers

Core Workflow

  1. Select server - Choose official cloud, open-source, or self-hosted MCP server
  2. Authenticate - Configure OAuth 2.1, API tokens, or PAT credentials
  3. Design queries - Write JQL for Jira, CQL for Confluence; validate with maxResults=1 before full execution
  4. Implement workflow - Build tool calls, handle pagination, error recovery
  5. Verify permissions - Confirm required scopes with a read-only probe before any write or bulk operation
  6. Deploy - Configure IDE integration, test permissions, monitor rate limits

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Server Setupreferences/mcp-server-setup.mdInstallation, choosing servers, configuration
Jira Operationsreferences/jira-queries.mdJQL syntax, issue CRUD, sprints, boards, issue linking
Confluence Opsreferences/confluence-operations.mdCQL search, page creation, spaces, comments
Authenticationreferences/authentication-patterns.mdOAuth 2.0, API tokens, permission scopes
Common Workflowsreferences/common-workflows.mdIssue triage, doc sync, sprint automation

Quick-Start Examples

JQL Query Samples

# Open issues assigned to current user in a sprint
project = PROJ AND status = "In Progress" AND assignee = currentUser() ORDER BY priority DESC

# Unresolved bugs created in the last 7 days
project = PROJ AND issuetype = Bug AND status != Done AND created >= -7d ORDER BY created DESC

# Validate before bulk: test with maxResults=1 first
project = PROJ AND sprint in openSprints() AND status = Open ORDER BY created DESC

CQL Query Samples

# Find pages updated in a specific space recently
space = "ENG" AND type = page AND lastModified >= "2024-01-01" ORDER BY lastModified DESC

# Search page text for a keyword
space = "ENG" AND type = page AND text ~ "deployment runbook"

Minimal MCP Server Configuration

{
  "mcpServers": {
    "atlassian": {
      "command": "npx",
      "args": ["-y", "@sooperset/mcp-atlassian"],
      "env": {
        "JIRA_URL": "https://your-domain.atlassian.net",
        "JIRA_EMAIL": "user@example.com",
        "JIRA_API_TOKEN": "${JIRA_API_TOKEN}",
        "CONFLUENCE_URL": "https://your-domain.atlassian.net/wiki",
        "CONFLUENCE_EMAIL": "user@example.com",
        "CONFLUENCE_API_TOKEN": "${CONFLUENCE_API_TOKEN}"
      }
    }
  }
}

Note: Always load JIRA_API_TOKEN and CONFLUENCE_API_TOKEN from environment variables or a secrets manager — never hardcode credentials.

Constraints

MUST DO

  • Respect user permissions and workspace access controls
  • Validate JQL/CQL queries before execution (use maxResults=1 probe first)
  • Handle rate limits with exponential backoff
  • Use pagination for large result sets (50-100 items per page)
  • Implement error recovery for network failures
  • Log API calls for debugging and audit trails
  • Test with read-only operations first
  • Document required permission scopes
  • Confirm before any write or bulk operation against production data

MUST NOT DO

  • Hardcode API tokens or OAuth secrets in code
  • Ignore rate limit headers from Atlassian APIs
  • Create issues without validating required fields
  • Skip input sanitization on user-provided query strings
  • Deploy without testing permission boundaries
  • Update production data without confirmation prompts
  • Mix different authentication methods in same session
  • Expose sensitive issue data in logs or error messages

Output Templates

When implementing Atlassian MCP features, provide:

  1. MCP server configuration (JSON/environment vars)
  2. Query examples (JQL/CQL with explanations)
  3. Tool call implementation with error handling
  4. Authentication setup instructions
  5. Brief explanation of permission requirements

Documentation

Signals

GitHub stars
11k
Forks
1k
Last commit
Aug 2026

ahel review

  • S4info
    community integration — published by jeffallan, not atlassian

Automated review, not a security audit. Ruleset v1.

Advanced
Catalog kind
skill
Gateway key
atlassian-mcp
Source
github.com/jeffallan/claude-skills