"Atlassian" matching MCP servers:

Enables AI assistants to interact with Atlassian Confluence and Jira for searching, updating, and managing content and issues.

Managed Code Plugin for Cursor IDE providing integration with Atlassian products (JIRA, Confluence, BitBucket), enabling developers to search for tasks, create new issues, view documentation, and manage code repositories directly from the IDE.

A Model Context Protocol server that enables AI assistants like Claude to access and search Atlassian Confluence content, allowing integration with your organization's knowledge base.

An MCP server that extends Jira and Confluence with tools for issue management, agile boards, attachments, and calendars.

Enables interaction with Bitbucket through the Model Context Protocol, allowing users to manage pull requests, add comments, review code, create tasks, and perform other repository operations using natural language.

An integration tool that enables AI assistants like Claude to directly access and interact with Bitbucket repositories, pull requests, and code without requiring copy/paste operations.

Enables AI assistants to interact with Bitbucket Cloud and self-hosted instances for pull request reviews, code search, repository operations, and managing PR comments and approvals.

Enables AI assistants to read and manage Bitbucket Cloud workspaces, repositories, pull requests, branches, commits, and code through tools exposed over the standard MCP interface.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests through generic API tools for reading, creating, commenting, searching, comparing, and managing resources. It supports natural-language version control workflows using scoped API tokens or app passwords.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, pull requests, branches, commits, and code through MCP tools for listing, retrieving, searching, commenting, managing PRs, and cloning repositories.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests through generic GET, POST, PUT, PATCH, DELETE, and clone tools, including reading PR diffs, adding comments, approving, merging, and filtering responses with JMESPath. It connects LLMs directly to version control workflows so tasks like code review, repository search, and PR management can be done in natural language.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, and pull requests by providing MCP tools for listing, reading, creating, commenting, searching, and cloning.

Enables AI assistants to interact with Atlassian Bitbucket Cloud workspaces, repositories, branches, commits, pull requests, issues, pipelines, and deployments through generic API tools and repository cloning. Supports natural-language code search, review, commenting, and workflow automation via the MCP interface.

Enables AI assistants to work with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests — listing, creating, commenting, comparing diffs, searching code, and cloning repos — through natural language. It exposes generic GET/POST/PUT/PATCH/DELETE/clone tools with JMESPath filtering and a token-efficient output format for LLM workflows.

Enables AI assistants to read and manage Bitbucket workspaces, repositories, branches, commits, files, and pull requests through the Bitbucket Cloud REST API, including commenting, approving, merging, comparing branches, and cloning repos. It exposes generic GET, POST, PUT, PATCH, and DELETE tools with JMESPath filtering and token-efficient output for any endpoint.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, pull requests, branches, commits, and code through MCP tools for listing, retrieving, searching, commenting, and managing version control workflows.

Enables AI assistants to connect to Bitbucket Cloud and work with workspaces, repositories, commits, branches, and pull requests through a standard protocol interface. Supports listing, retrieving, searching, commenting on, cloning, and managing version-control resources via the Bitbucket REST API.

Manages Atlassian Jira Cloud projects, issues, sprints, boards, worklogs, comments, and workflow transitions from MCP-compatible clients.

Converts Markdown files to Atlassian Document Format and publishes them to Confluence, with support for rendering Mermaid diagrams as PNG attachments.

A lightweight server that bridges the MCP protocol with the Atlassian Jira Xray API, enabling safe and configurable access to Xray Server+DC via OpenAPI spec with multiple transports.