fanguyun/skillmanager/atlassian-mcp

Atlassian MCP Expert

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:

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