"Official Atlassian MCP Server by Atlassian" matching MCP servers:

A cloud-hosted bridge that gives AI tools secure, real-time access to Jira, Confluence, Jira Service Management, Bitbucket, and Compass.

An MCP server for integrating with Atlassian products including Confluence, Jira, Bitbucket, and Xray for Jira, enabling AI-powered operations like searching, creating, and updating issues, pages, and test results.

MCP server for Atlassian products (Confluence, Jira, Bitbucket, and Xray for Jira) supporting Cloud and Server/Data Center deployments.

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.

Enables natural-language interaction with self-hosted Jira and Bitbucket, providing tools for ticket management, pull requests, code review, and git context.

A cloud-hosted MCP server that gives AI tools secure, real-time access to Atlassian Cloud products such as Jira, Confluence, Bitbucket, and Loom, enabling search, summarization, content creation, and workflow automation through natural language.

A TypeScript MCP server that enables LLM agents to interact with Atlassian Data Center products (Jira, Confluence, Bitbucket) through typed tools, with tiered operation exposure and safety defaults.

Provides MCP integration for Atlassian Data Center products including Jira, Confluence, and Bitbucket.

MCP servers for self-hosted Atlassian Data Center (Jira, Confluence, Bitbucket) enabling AI assistants to search, manage, and interact with issues, pages, and pull requests.

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

Enables AI systems to interact with Atlassian Bitbucket Server/Data Center for accessing projects, repositories, branches, files, and managing pull requests.

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.

Lightweight MCP server for Jira, Confluence, and Bitbucket — read, create, and update from your AI IDE.

A comprehensive MCP server for Jira, Confluence, and Bitbucket that supports both Cloud and Data Center deployments. It provides 136 tools for managing issues, searching documentation, and handling Git workflows like pull requests and pipelines.

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.

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 connect to Bitbucket Cloud and interact with workspaces, repositories, branches, commits, files, and pull requests through MCP tools, including listing, getting, creating, commenting, searching, reviewing, approving, declining, and merging PRs.

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, commits, branches, diffs, comments, issues, pipelines, and deployments through MCP tools for listing, reading, creating, updating, deleting, searching, commenting, and cloning via the Bitbucket API.

Enables AI assistants and LLMs to interact with Bitbucket Cloud workspaces, repositories, and pull requests via tools for listing, getting, commenting, searching, and cloning. Connects AI directly to version control workflows through the standard MCP interface.

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, branches, commits, and pull requests through tools for listing, retrieving, creating, commenting, searching, and cloning via the Bitbucket REST API.

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 Bitbucket Cloud workspaces, repositories, and pull requests through generic GET, POST, PUT, PATCH, DELETE, and clone tools, covering branches, commits, file contents, diffs, issues, pipelines, and deployments. Supports JMESPath filtering and a token-efficient output format to reduce token costs.

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 interact with Bitbucket workspaces, repositories, branches, commits, and pull requests through MCP tools for listing, retrieving, commenting, searching, and managing version control workflows. It supports generic GET, POST, PUT, PATCH, DELETE, and clone operations against Bitbucket Cloud REST API endpoints.

Enables AI assistants to interact with Bitbucket workspaces, repositories, branches, commits, and pull requests for listing, retrieving, searching, commenting, comparing, and automating version control workflows.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, pull requests, branches, commits, and code through MCP tools for reading, creating, updating, deleting, commenting, searching, and cloning.

Enables AI assistants to access and manage Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests through MCP tools for listing, retrieving, searching, commenting, cloning, and other version-control 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, branches, commits, and pull requests through six generic tools covering GET, POST, PUT, PATCH, DELETE, and clone operations against any REST API 2.0 endpoint. Supports JMESPath filtering and a token-efficient TOON output format, letting AI list, read, comment on, create, merge, and compare code changes in natural language.

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 list, get, comment on, search, and manage workspaces, repositories, pull requests, branches, and code in Bitbucket Cloud through a standard MCP interface.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests through MCP tools for listing, fetching, searching, commenting, reviewing diffs, and managing repository workflows such as cloning and PR operations.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, branches, commits, and pull requests through MCP tools for listing, retrieving, commenting, creating, updating, comparing, merging, and cloning.

Enables AI assistants and LLMs to interact with Bitbucket Cloud workspaces, repositories, pull requests, branches, commits, and other resources through generic API tools for listing, retrieving, creating, commenting, searching, updating, deleting, and cloning.

Enables AI assistants to interact with Bitbucket Cloud workspaces, repositories, branches, commits, issues, pipelines, and pull requests through MCP tools for listing, reading, creating, updating, commenting, searching, comparing, approving, merging, and cloning. It connects LLMs directly to version control and repository workflows via standard API paths and configurable authentication.

Enables AI assistants to interact with Bitbucket workspaces, repositories, and pull requests via MCP tools for listing, retrieving, commenting, searching, cloning, and managing code-review workflows.