"Atlassian" matching MCP servers:

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

A read-only MCP server for Jira and Confluence Cloud, providing atlassian_get and jira_search tools.

Enables Claude Code and other MCP clients to run live JQL and CQL searches and read Jira Cloud issues, comments, and Confluence Cloud pages on your own machine, with no local index and nothing cached outside those products. Access is read-only and scoped to your own Atlassian account permissions.

Enables coding agents to search and read Jira Cloud issues with read-only, per-project access controls while keeping the API token in the OS keychain.

Enables Claude Code to use a filtered subset of Atlassian Rovo MCP tools for Jira and Confluence, automatically injecting required parameters and stripping noisy fields to reduce token usage.

Browser-backed MCP wrapper for mcp-atlassian with Playwright SSO auth. Enables AI tools to access Atlassian Server/Data Center instances behind corporate SSO (Okta, SAML, ADFS) where API tokens are not available

Enables AI assistants to interact with Jira by executing commands through the Atlassian CLI. It supports searching issues with JQL, managing comments, updating statuses, and handling issue assignments through natural language.

MCP server that enables accessing Jira and Confluence using browser cookies captured via a Chrome extension, avoiding the need for API tokens or browser automation. It wraps the mcp-atlassian toolset and works with Atlassian Cloud and Server/Data Center behind SSO.

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.

A Model Context Protocol server that connects AI assistants like Cline to Atlassian Jira and Confluence, enabling them to query data and perform actions through a standardized interface.

MCP server for Trello that enables comprehensive management of boards, cards, lists, labels, checklists, attachments, members, custom fields, and search through natural language.

Enables one agent session to work across many Jira Cloud sites at once, routing each request by issue-key prefix so users can fetch and search issues, manage comments, and download or upload attachments directly to disk instead of shuffling base64 through chat context.

Enables AI assistants to search and retrieve data from Jira and Confluence directly within MCP-compatible IDEs. It provides tools for managing Jira tickets and Confluence pages using OAuth 2.0 authentication and Hexagonal Architecture.

Enables AI agents to manage Jira issues and Confluence pages via natural language, including creating, updating, searching, and uploading file attachments using API token authentication.

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 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.

Atlassian Jira/Confluence MCP server with schema-validated Markdown↔ADF roundtrips — surfaces content-model violations at conversion time instead of silently dropping panels, mentions, and layouts.

MCP server for Atlassian Confluence integration with Claude Code, enabling search, read, create, update pages, manage labels, and list spaces via natural language.

Enables Claude to create, search, update, and manage Jira Cloud work items as the authenticated user through Atlassian OAuth 2.0, including issues, epics, sprints, comments, transitions, and links.

Integrates the Atlassian Rovo Dev CLI with the Model Context Protocol, allowing AI assistants to perform deep code analysis using Rovo Dev's large context capabilities. It enables features like repository-wide queries, file-specific analysis, and specialized coding modes through a standard MCP interface.