mcp-server-atlassian-bitbucket and mcp-server-atlassian-jira
These are ecosystem siblings, as they are distinct MCP servers providing AI tooling for different Atlassian products (Bitbucket and Jira respectively) from the same author, suggesting a common framework or architecture applied across the Atlassian suite.
About mcp-server-atlassian-bitbucket
aashari/mcp-server-atlassian-bitbucket
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
This project lets you connect your AI assistants, like Claude or Cursor AI, directly to your Bitbucket repositories. You can ask natural language questions about your code, pull requests, and repository status, getting insights and automating tasks. It's designed for developers, team leads, and DevOps engineers who want to streamline their workflow and leverage AI for code reviews and repository management.
About mcp-server-atlassian-jira
aashari/mcp-server-atlassian-jira
Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.
This tool connects your AI assistant (like Claude or Cursor AI) directly to your Jira projects. You can ask your AI assistant natural language questions about your projects, issues, comments, and development progress. It takes your verbal or typed queries as input and provides specific Jira data, insights, or even performs actions like adding comments or creating issues.
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