Atlassian (Jira & Confluence) MCP Server
The ultimate AI bridge for Jira and Confluence — manage projects, agile boards, and wikis via AI.
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What is the Atlassian MCP Server?
The Atlassian MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Atlassian via 9 tools. The ultimate AI bridge for Jira and Confluence — manage projects, agile boards, and wikis via AI. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (9)
Tools for your AI Agents to operate Atlassian
Ask your AI agent "Get my active Jira sprint tickets related to frontend errors." and get the answer without opening a single dashboard. With 9 tools connected to real Atlassian data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
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Atlassian (Jira & Confluence) MCP Server capabilities
9 toolsGet Jira issue details by exact key
Get current authenticated user information
Get Confluence page rich text content
Often used before retrieving backlogs or active sprints. List all Jira agile boards
Useful for discovering project keys needed for querying specific domains or boards. List all Jira projects
List all Confluence spaces
List sprints for a specific Jira board
Search Confluence content with CQL
Search Jira issues with JQL
What the Atlassian (Jira & Confluence) MCP Server unlocks
Transform your Atlassian Jira and Confluence instance into a conversational command center for your AI agent. This integration bridges the gap between complex agile workflows and actionable intelligence, allowing your agent to audit Jira issues, manage active sprints, and retrieve deep knowledge from Confluence wikis through natural language. Whether you're tracking a bug's lifecycle or auditing enterprise documentation, your agent acts as a direct, real-time navigator across your Atlassian ecosystem, ensuring your team stays aligned and data-driven without manual dashboard hopping.
What you can do
- Jira Issues & Search — Search issues using complex JQL, view exact tickets, or manage epics and stories seamlessly through your agent.
- Agile Boards & Sprints — List active boards, explore historical sprints, and get an overarching view of project health effortlessly.
- Confluence Wikis & Pages — Search across enterprise documentation using CQL, list spaces, and extract the full textual content of rich wiki pages.
- Project & Identity Oversight — Browse available projects and see the identity mappings of the current user automatically.
- Knowledge Retrieval — Stream rendered HTML or textual properties of specific Confluence pages directly into your conversation context.
How it works
1. Subscribe to this secure MCP Server
2. Enter your Atlassian Domain, Email, and API Token
3. Start managing your tickets and documents natively from Claude, Cursor, or any compatible AI client
Who is this for?
- Engineering Teams — check current sprint bugs, retrieve spec documents from Confluence, and trace tickets without leaving your IDE.
- Product Managers — pull exact criteria from tickets, summarize complete epics, and draft release notes dynamically.
- Scrum Masters — audit sprints, aggregate blockers across boards, and build real-time project views effortlessly.
- Customer Support — quickly query Confluence for troubleshooting guides and documentation before replying to customer inquiries.
Frequently asked questions about the Atlassian (Jira & Confluence) MCP Server
Can my AI write JQL or CQL queries for me automatically?
Yes. AI models are exceptionally good at transforming natural phrases like 'find all high-priority bugs open in project X' into structurally valid JQL (project = X AND priority = High AND status = Open). The same applies to CQL searches in Confluence.
How does the agent handle Confluence pages with heavy formatting or macros?
The integration extracts the core text node data of the page. This guarantees that your AI agent only consumes dense factual text (like code snippets and bullet instructions) without wasting token context on layout elements.
Am I limited to only Jira Software or does this include Jira Service Management?
The unified underlying Atlassian API allows JQL queries across almost all generic issue types within your authorized Domain instance. You can search bugs in Jira Software or service requests residing structurally alongside them equally.
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Give your AI agents the power of Atlassian MCP Server
Production-grade Atlassian (Jira & Confluence) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






