The MCP Atlassian server integrates Atlassian products (Confluence and Jira) with AI tools using the Model Context Protocol (MCP). It supports both Atlassian Cloud and Server/Data Center deployments, allowing seamless interaction with your Atlassian content through AI assistants.
Choose one of these installation methods:
# Using uv (recommended)
brew install uv
uvx mcp-atlassian
# Using pip
pip install mcp-atlassian
# Using Docker
git clone https://github.com/sooperset/mcp-atlassian.git
cd mcp-atlassian
docker build -t mcp/atlassian .
Configure the MCP server using command line arguments. You can use either Confluence, Jira, or both services - include only the arguments needed for your use case.
For Atlassian Cloud:
uvx mcp-atlassian \
--confluence-url https://your-company.atlassian.net/wiki \
--confluence-username [email protected] \
--confluence-token your_api_token \
--jira-url https://your-company.atlassian.net \
--jira-username [email protected] \
--jira-token your_api_token
For Server/Data Center:
uvx mcp-atlassian \
--confluence-url https://confluence.your-company.com \
--confluence-personal-token your_token \
--jira-url https://jira.your-company.com \
--jira-personal-token your_token
You can configure just Confluence, just Jira, or both services by including only the arguments for the services you want to use.
--transport
: Choose transport type (stdio
[default] or sse
)--port
: Port number for SSE transport (default: 8000)--[no-]confluence-ssl-verify
: Toggle SSL verification for Confluence Server/DC--[no-]jira-ssl-verify
: Toggle SSL verification for Jira Server/DC--verbose
: Increase logging verbosity (can be used multiple times)--read-only
: Run in read-only mode (disables all write operations)All configuration options can also be set via environment variables.
Using uvx (recommended) - Cloud:
{
"mcpServers": {
"mcp-atlassian": {
"command": "uvx",
"args": [
"mcp-atlassian",
"--confluence-url=https://your-company.atlassian.net/wiki",
"[email protected]",
"--confluence-token=your_api_token",
"--jira-url=https://your-company.atlassian.net",
"[email protected]",
"--jira-token=your_api_token"
]
}
}
}
Features
> MCP Servers
Add new MCP server
For stdio transport:
name: mcp-atlassian
type: command
command: uvx mcp-atlassian --confluence-url=https://your-company.atlassian.net/wiki [email protected] --confluence-token=your_api_token --jira-url=https://your-company.atlassian.net [email protected] --jira-token=your_api_token
For SSE transport, first start the server:
uvx mcp-atlassian ... --transport sse --port 8000
Then configure in Cursor:
name: mcp-atlassian
type: sse
Server URL: http://localhost:8000/sse
The MCP server filters resources to only show Confluence spaces and Jira projects that the user is actively interacting with:
confluence://{space_key}
: Access Confluence spacesjira://{project_key}
: Access Jira projectsconfluence_search
: Search Confluence content using CQLconfluence_get_page
: Get content of a specific pageconfluence_get_page_children
: Get child pagesconfluence_get_page_ancestors
: Get parent pagesconfluence_get_comments
: Get comments for a pageconfluence_create_page
: Create a new pageconfluence_update_page
: Update an existing pageconfluence_delete_page
: Delete a pagejira_get_issue
: Get details of a specific issuejira_search
: Search issues using JQLjira_get_project_issues
: Get all issues for a projectjira_create_issue
: Create a new issuejira_update_issue
: Update an existing issuejira_delete_issue
: Delete an issuejira_get_transitions
: Get available status transitionsjira_transition_issue
: Change an issue's statusjira_add_worklog
: Add a worklog entryjira_get_worklog
: Get worklog entriesjira_link_to_epic
: Link an issue to an Epicjira_get_epic_issues
: Get all issues linked to an EpicThere are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.