What is MCP Jira Server?
The mcp-atlassian server provides MCP integration for both Jira and Confluence. For Jira it supports listing projects, sprints, and issues; creating and updating issues with all standard fields; adding comments; and transitioning issue status through a workflow.
Read the full overview
Supports both Jira Cloud and Jira Server/Data Center with API token or OAuth authentication. A popular choice for engineering teams using Atlassian products who want Claude to query sprint state and create issues without leaving the AI client.
Query and create Jira issues and sprints from Claude
Key capabilities
Jira operations
Search issues with JQL, retrieve issue details including comments and attachments, create new issues, update fields, add comments, and transition status. List boards, sprints, and backlog items.
Confluence integration
Search and read Confluence pages, create new pages, and update existing content. Useful for documentation workflows where the AI needs to both read specs from Confluence and create issues in Jira based on what it finds.
Where MCP Jira Server fits
Compatible with Claude Desktop, Cursor, Cline, and any MCP-compatible client. Install via npm (npx) or pip (uvx) depending on the server implementation language.
Positioning and limitations
The go-to MCP server for Atlassian-based engineering organizations. Gives Claude context from both the issue tracker and the wiki in one server, which covers most project management and planning workflows without switching tools.
MCP servers extend AI clients beyond their training data by giving them access to live systems: local files, databases, APIs, and services. Each server adds a set of typed tools the AI can call, inspect results from, and chain into multi-step workflows, all within a single conversation context.
“Query and create Jira issues and sprints from Claude”
Technical details
- Access
- See vendor
- Source model
- Open source
- License
- Verify license
- Founded
- Not specified
- Pricing model
- Free
- API
- Not specified
- Website
- github.com ↗
- GitHub
- Source repository ↗
What to verify
Start from the users, systems and operating responsibilities the tool needs to support.
- Confirm current features, licensing and support terms.
- Validate deployment, data location and access control.
- Test integrations, exports and recovery workflows.
Install
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