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jeffallan on GitHub

Atlassian MCP Expert

Free

Seamlessly integrate and manage Atlassian projects.

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Free · Opens the source repo

What Atlassian MCP Expert does

Atlassian MCP Expert is a powerful skill designed for developers and project managers who need to interact with Atlassian products like Jira and Confluence through the MCP protocol. This skill simplifies the process of managing project tracking and documentation by providing a structured approach to querying issues, creating tickets, and managing documentation. It is particularly useful for teams that rely heavily on Jira for issue tracking and Confluence for documentation, allowing them to automate workflows and streamline their processes.

The skill supports a range of operations, including querying Jira issues using JQL filters, creating and updating tickets with custom fields, and searching or editing Confluence pages using CQL. Users can also automate sprint workflows and backlog management, ensuring that their teams stay organized and focused on their tasks. Additionally, the skill provides guidance on setting up MCP server authentication, which is crucial for secure interactions with Atlassian APIs.

With detailed reference guides and quick-start examples, users can easily implement workflows tailored to their specific needs. The skill emphasizes best practices, such as validating queries before execution and respecting user permissions, making it a reliable tool for managing sensitive project data. Whether you're debugging API integrations or syncing documentation with Jira tickets, this skill provides the necessary tools and guidance to enhance your productivity.

Atlassian MCP Expert is ideal for teams looking to leverage the full capabilities of Atlassian products while ensuring compliance with best practices for API usage. It is particularly beneficial for those who need to manage multiple projects and require a consistent method for tracking and documenting their progress.

When to use it

Use this skill when you need to automate interactions with Jira and Confluence, particularly for querying issues, managing sprints, or syncing documentation.

When not to use it

This skill may not be suitable for users who do not work with Atlassian products or those looking for a general-purpose project management tool.

What you can build with it

Querying Jira Issues

Use JQL filters to retrieve specific issues based on various criteria, such as status or assignee.

Creating Confluence Pages

Automate the creation of Confluence pages based on ticket data or meeting notes, improving documentation efficiency.

Setting Up MCP Server Authentication

Configure secure access to your Atlassian products by setting up OAuth or API tokens for your MCP server.

How to install Atlassian MCP Expert

View source

1. Install with the skills CLI

npx skills add jeffallan/claude-skills/atlassian-mcp --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by jeffallan

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:

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

Frequently asked questions about Atlassian MCP Expert

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