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MCP Atlassian

Bridges AI assistants to Jira and Confluence via the Model Context Protocol, exposing ~72 tools for JQL search, issue/page CRUD, status transitions, and comments. Supports Cloud and Server/Data Center with API-token, PAT, or OAuth 2.0 auth.

Introduction

Most teams that want an AI agent touching their Jira backlog hit the same wall: the official Atlassian MCP server targets Cloud, leaving the many enterprises still on self-hosted Jira and Confluence Data Center without a path. This community project's real value is that it treats Server/Data Center as a first-class citizen — the same ~72 tools and natural-language flows, just pointed at an on-prem instance.

What Sets It Apart
  • Three auth modes (API token, Personal Access Token, OAuth 2.0). The PAT path is what makes it usable behind a corporate firewall where OAuth callbacks are often blocked.
  • One server spans both products: a single config exposes Jira (JQL search, issue create/update, status transitions) and Confluence (page search, create, comment), so an agent can move a ticket and update the runbook in one conversation.
  • Read-only mode and per-tool filtering let you hand it to an agent without granting write access to production projects — meaningful when the "agent" is an LLM that occasionally hallucinates.
Who It's For

Great fit if you run self-hosted Atlassian or need fine-grained control over which tools an agent can invoke. Look elsewhere if you're fully on Atlassian Cloud and want vendor support — Atlassian's own remote MCP server is officially backed, even if narrower. Note this project is unaffiliated with Atlassian, so deployment, upgrades, and breakage are on you.

Information

  • Websitegithub.com
  • OrganizationsLunit
  • Authorssooperset
  • Published date2024/12/03

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