What is Jira MCP?
Jira MCP is an opinionated Model Context Protocol server that connects AI assistants to Atlassian Jira. Built from real‑world development experience, it provides sophisticated tools for issue management, sprint tracking, development information retrieval, and workflow automation. It is designed for engineers and QC teams who need to interact with Jira through natural language in environments like Cursor or Claude Desktop.
How to use Jira MCP?
Install via Docker (ghcr.io/nguyenvanduocit/jira-mcp:latest) or as a local binary. Set three environment variables: ATLASSIAN_HOST, ATLASSIAN_EMAIL, and ATLASSIAN_TOKEN. Add the server to your MCP client’s configuration (STDIO mode). Optionally use the bundled jira-cli for terminal‑only tasks. To expose only a subset of tools, set the ENABLED_TOOLS environment variable.
Key features of Jira MCP
- Issue management: create, update, get, search, and child issues.
- Sprint management: list, get, and search active sprints.
- Development information: branches, PRs, commits linked to issues.
- Issue relationships: retrieve and link blocking/related issues.
- Version management: get and list project versions.
- Auditable history: complete issue change history and worklogs.
Use cases of Jira MCP
- Retrieve all pull requests linked to a Jira issue during code review.
- Transition issues through workflows automatically with AI assistance.
- Manage sprint backlogs and active sprints from a chat interface.
- Add worklogs and comments to issues without leaving the IDE.
- Enforce read‑only access for AI agents by limiting exposed tools.
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