mcp-server-atlassian-bitbucket and mcp-server-atlassian-confluence
These tools are complements because one enables AI interaction with Bitbucket for code management, and the other enables AI interaction with Confluence for documentation, allowing an AI system to manage both code and related content across the Atlassian platform.
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-confluence
aashari/mcp-server-atlassian-confluence
Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP interface.
Connects AI assistants like Claude or Cursor AI directly to your Confluence knowledge base. You can ask natural language questions about your team's documentation and receive instant answers from Confluence spaces and pages. This tool is for anyone who uses Confluence for documentation, such as developers, product managers, HR, and support teams, to streamline their information access.
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