The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project, currently at version 0.21.1, enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. It is actively developed, with releases focusing on bug fixes and feature enhancements, typically without a strict, public release cadence.
pip install mcp-atlassianVerified import paths — ran on the pinned version, not inferred.
This quickstart demonstrates how to programmatically load the `mcp-atlassian` configuration from environment variables and initialize the `AtlassianContextManager`. It showcases the core configuration and component setup, which is essential for any interaction with the library. Note that actual Atlassian API calls would require valid credentials and specific method calls on the `context_manager` object.
Ensure all required environment variables are correctly defined in your shell environment or provided via a `.env` file (which `python-dotenv` can load automatically) before running the application or initializing components.
For most use cases, it's recommended to interact with the library via its provided CLI or server commands. If programmatic embedding is required, carefully review the official documentation and source code to understand component dependencies and expected environment setup.
Pin your `mcp-atlassian` dependency to a specific version (e.g., `mcp-atlassian==0.21.1`) and thoroughly review the release notes or GitHub commit history for any breaking changes when planning an upgrade to a newer minor version.