Connects AI clients to Jira, Confluence, Bitbucket, and other Atlassian Cloud products through a hosted MCP endpoint.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Atlassian MCP Server.
The atlassian-mcp-server MCP server gives compatible AI applications access to Atlassian Cloud data and actions through the Model Context Protocol. It is an official, cloud-hosted bridge rather than a local connector that runs against an on-premises Atlassian installation.
Supported Atlassian products and data sources include Jira, Confluence, Jira Service Management, Bitbucket, Compass, Loom, and platform data such as Projects, Goals, Teams, Focus, Talent, and the Teamwork Graph. The material describes use cases including searching and summarizing records, reviewing Loom recordings, and creating or updating work items and pages from natural-language instructions.
The client connects to Atlassian's remote MCP endpoint and presents the server's available actions to an AI model. The model can then select actions based on a user's request, such as finding project information, reviewing documentation, or turning meeting notes into work items.
The recommended v2 endpoint is:
https://mcp.atlassian.com/v2/mcp
Authentication is handled with OAuth 2.1 or Atlassian API tokens. Requests operate with the authenticated user's existing access controls, so the server does not describe a separate permission model that bypasses Atlassian access restrictions.
Use an MCP client that supports remote HTTP MCP connections, then add the v2 endpoint or use the client's native installation flow. The repository provides one-click setup links for Cursor and VS Code, and describes connections for Claude, ChatGPT, Cursor, VS Code, and other AI tools.
New configurations should use the v2 URL because it exposes more tools and products than the earlier version. Existing v1 connections are moved toward v2 tools automatically. The README notes that some clients may need cached client IDs or .well-known credentials cleared if authentication fails after this transition.
No local package, runtime command, or environment variable is specified in the provided material. The server is hosted by Atlassian, so setup consists of configuring the remote endpoint and completing the supported authentication flow.
The atlassian-mcp-server MCP server supports capabilities described at a product level rather than as a complete tool manifest in the supplied material:
The exact set of exposed tools can vary by server version; the repository identifies v2 as the recommended release.
This integration is intended for Atlassian Cloud. The provided material does not document self-hosted deployment, local execution, or support for non-Atlassian systems. Results and mutations are subject to the permissions of the authenticated Atlassian user.
Although the repository is open source, the MCP service itself is described as an Atlassian-hosted cloud service. Client compatibility matters during the v1-to-v2 transition, particularly for clients that cache authentication metadata. The README also points to separate Atlassian documentation for the current supported-tool list and security administration details.
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