MCP server for Atlassian Jira, Confluence and Bitbucket Data Center: a fork of mcp-atlassian with Bitbucket Data Center support.
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# MCP Atlassian   [](https://github.com/ivan1911/olddevs-mcp-atlassian/actions/workflows/tests.yml)  [](https://mcp-atlassian.soomiles.com) > **This is a fork** of [sooperset/mcp-atlassian](https://github.com/sooperset/mcp-atlassian) that adds Bitbucket Data Center support. It is published on PyPI as [`olddevs-mcp-atlassian`](https://pypi.org/project/olddevs-mcp-atlassian/); the command is `olddevs-mcp-atlassian` (`mcp-atlassian` also works). The linked documentation site describes the upstream project; Bitbucket is covered in this README. Model Context Protocol (MCP) server for Atlassian products: Jira, Confluence and Bitbucket. Jira and Confluence are supported on Cloud and Server/Data Center; Bitbucket is supported on Data Center (self-hosted) only. https://github.com/user-attachments/assets/35303504-14c6-4ae4-913b-7c25ea511c3e <details> <summary>Confluence Demo</summary> https://github.com/user-attachments/assets/7fe9c488-ad0c-4876-9b54-120b666bb785 </details> ## Quick Start ### 1. Get Your API Token Go to https://id.atlassian.com/manage-profile/security/api-tokens and create a token. > For Server/Data Center, use a Personal Access Token instead. See [Authentication](https://mcp-atlassian.soomiles.com/docs/authentication). > For Bitbucket Data Center, create an HTTP access token in Bitbucket under **Profile → Manage account → HTTP access tokens** (read permission to browse and review, write permission to comment, create or merge pull requests). ### 2. Configure Your IDE Add to your Claude Desktop or Cursor MCP configuration: ```json { "mcpServers": { "mcp-atlassian": { …
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