Jira and Confluence automation via MCP protocol with JQL/CQL queries, ticket management, and sprint workflows.
Works with
Supports querying Jira issues with JQL filters, creating and updating tickets with custom fields, and managing sprints and backlogs
Enables searching, creating, and editing Confluence pages using CQL syntax with space and content management
Includes authentication patterns for OAuth 2.0, API tokens, and PAT credentials with permission scope validation
Provides reference g
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionatlassian-mcpExecute the skills CLI command in your project's root directory to begin installation:
Fetches atlassian-mcp from jeffallan/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate atlassian-mcp. Access via /atlassian-mcp in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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maxResults=1 before full executionLoad detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Server Setup | references/mcp-server-setup.md |
Installation, choosing servers, configuration |
| Jira Operations | references/jira-queries.md |
JQL syntax, issue CRUD, sprints, boards, issue linking |
| Confluence Ops | references/confluence-operations.md |
CQL search, page creation, spaces, comments |
| Authentication | references/authentication-patterns.md |
OAuth 2.0, API tokens, permission scopes |
| Common Workflows | references/common-workflows.md |
Issue triage, doc sync, sprint automation |
# 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
# 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"
{
"mcpServers": {
"atlassian": {
"command": "npx",
"args": ["-y", "@sooperset/mcp-atlassian"],
"env": {
"JIRA_URL": "https://your-domain.atlassian.net",
"JIRA_EMAIL": "[email protected]",
"JIRA_API_TOKEN": "${JIRA_API_TOKEN}",
"CONFLUENCE_URL": "https://your-domain.atlassian.net/wiki",
"CONFLUENCE_EMAIL": "[email protected]",
"CONFLUENCE_API_TOKEN": "${CONFLUENCE_API_TOKEN}"
}
}
}
}
Note: Always load
JIRA_API_TOKENandCONFLUENCE_API_TOKENfrom environment variables or a secrets manager — never hardcode credentials.
maxResults=1 probe first)When implementing Atlassian MCP features, provide:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Solid pick for teams standardizing on skills: atlassian-mcp is focused, and the summary matches what you get after install.
Useful defaults in atlassian-mcp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
atlassian-mcp reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for atlassian-mcp matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: atlassian-mcp is focused, and the summary matches what you get after install.
Registry listing for atlassian-mcp matched our evaluation — installs cleanly and behaves as described in the markdown.
atlassian-mcp reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added atlassian-mcp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
atlassian-mcp fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: atlassian-mcp is focused, and the summary matches what you get after install.
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