Provides integration with Atlassian products, enabling AI agents to interact with both Jira and Confluence for Cloud and Server/Data Center deployments.
Allows searching with CQL, retrieving pages, creating and updating pages, and adding comments in Confluence.
Allows searching with JQL, retrieving issue details, creating and updating issues, and transitioning issue statuses in Jira.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-atlassian Find all open issues assigned to me"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). Supports both Cloud and Server/Data Center deployments.
https://github.com/user-attachments/assets/35303504-14c6-4ae4-913b-7c25ea511c3e
https://github.com/user-attachments/assets/7fe9c488-ad0c-4876-9b54-120b666bb785
Go to https://id.atlassian.com/manage-profile/security/api-tokens and create a token.
For Server/Data Center, use a Personal Access Token instead. See Authentication.
Add to your Claude Desktop or Cursor MCP configuration:
{
"mcpServers": {
"mcp-atlassian": {
"command": "uvx",
"args": ["mcp-atlassian"],
"env": {
"JIRA_URL": "https://your-company.atlassian.net",
"JIRA_USERNAME": "your.email@company.com",
"JIRA_API_TOKEN": "your_api_token",
"CONFLUENCE_URL": "https://your-company.atlassian.net/wiki",
"CONFLUENCE_USERNAME": "your.email@company.com",
"CONFLUENCE_API_TOKEN": "your_api_token"
}
}
}
}Server/Data Center users: Use
JIRA_PERSONAL_TOKENinstead ofJIRA_USERNAME+JIRA_API_TOKEN. See Authentication for details.
Use the same uvx server with your Atlassian credentials:
autohand mcp add mcp-atlassian env \
JIRA_URL=https://your-company.atlassian.net \
JIRA_USERNAME=your.email@company.com \
JIRA_API_TOKEN=your_api_token \
CONFLUENCE_URL=https://your-company.atlassian.net/wiki \
CONFLUENCE_USERNAME=your.email@company.com \
CONFLUENCE_API_TOKEN=your_api_token \
uvx mcp-atlassianAdd --scope project after add to keep the configuration in the current
project. See Autohand Code for current
installation and CLI details.
Ask your AI assistant to:
"Find issues assigned to me in PROJ project"
"Search Confluence for onboarding docs"
"Create a bug ticket for the login issue"
"Update the status of PROJ-123 to Done"
Related MCP server: Atlassian MCP Server
Full documentation is available at mcp-atlassian.soomiles.com.
Documentation is also available in llms.txt format, which LLMs can consume easily:
llms.txt — documentation sitemap
llms-full.txt — complete documentation
Topic | Description |
uvx, Docker, pip, from source | |
API tokens, PAT, OAuth 2.0 | |
IDE setup, environment variables | |
SSE, streamable-http, multi-user | |
All Jira & Confluence tools | |
Common issues & debugging |
Product | Deployment | Support |
Confluence | Cloud | Fully supported |
Confluence | Server/Data Center | Supported (v6.0+) |
Jira | Cloud | Fully supported |
Jira | Server/Data Center | Supported (v8.14+) |
Jira | Confluence |
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98 tools total — See Tools Reference for the complete list.
Never share API tokens. Keep .env files secure. See SECURITY.md.
See CONTRIBUTING.md for development setup.
MIT - See LICENSE. Not an official Atlassian product.
This server cannot be deployed
Connect to Atlassian Jira, Confluence, Loom, and more to search, create, and manage your work.
Give your AI agents the tools to build, manage, and run automation workflows.
Task manager your agent can fully operate: boards, tasks, sprints, roles, worklogs, day planner.
Shared company knowledge, workflows, and connected apps for the AIs your team already uses.
