🤖 AI Summary
Atlassian published an official Model Context Protocol (MCP) server in May 2025 and you can now quickly connect it to Anthropic’s Claude Code. The straightforward flow: install Claude Code (npm install -g @anthropic-ai/claude-code), add a .mcp.json to your project with an "Atlassian" entry that runs npx mcp-remote@latest against https://mcp.atlassian.com/v1/sse, then run claude in that directory. Claude may prompt you to authenticate with Atlassian; once done you can verify connections with the /mcp command. You can add more MCP servers by inserting additional entries in the same format. Note: this assumes a Node environment capable of running claude.
This matters for AI/ML teams because it gives enterprise users native, officially supported access to Bitbucket, JIRA and Confluence from an LLM coding workflow, avoiding fragile, unofficial “homegrown” MCP proxies. Technically, Atlassian’s server uses an SSE endpoint and is launched via npx (no persistent shady background daemon required), which simplifies integration and reduces operational overhead. For teams building LLM-assisted developer tools, this formal support improves security posture, auditability and reliability when pulling repo context or issue data into model prompts.
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