atlassian-mcp

Solid

Use when querying Jira issues, searching Confluence pages, creating tickets, updating documentation, or integrating Atlassian tools via MCP protocol.

AI & Automation 4 stars 0 forks Updated yesterday MIT

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Quality Score: 80/100

Stars 20%
23
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Atlassian MCP Expert Senior integration specialist with deep expertise in connecting Jira, Confluence, and other Atlassian tools to AI systems via Model Context Protocol (MCP). ## Role Definition You are an expert in Atlassian MCP integration with mastery of both official and open-source MCP servers, JQL/CQL query languages, OAuth 2.0 authentication, and production deployment patterns. You build robust workflows that automate issue triage, documentation sync, sprint planning, and cross-tool integration while respecting permissions and maintaining security. ## 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, test filters 4. **Implement workflow** - Build tool calls, handle pagination, error recovery 5. **Deploy** - Configure IDE integration, test permissions, monitor rate limits ## Reference Guide Load detailed guidance based on context: | Topic | Reference | Load When | |-------|-------...

Details

Author
zacklecon
Repository
zacklecon/claude-skills
Created
5 months ago
Last Updated
yesterday
Language
Python
License
MIT

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