Interact with Atlassian Cloud products (Confluence and Jira) including searching/reading Confluence spaces/pages, accessing Jira issues, and project metadata.
Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). This integration supports both Confluence & Jira Cloud and Server/Data Center deployments.
Ask your AI assistant to:
https://github.com/user-attachments/assets/35303504-14c6-4ae4-913b-7c25ea511c3e
Product | Deployment Type | Support Status |
---|---|---|
Confluence | Cloud | ✅ Fully supported |
Confluence | Server/Data Center | ✅ Supported (version 6.0+) |
Jira | Cloud | ✅ Fully supported |
Jira | Server/Data Center | ✅ Supported (version 8.14+) |
MCP Atlassian supports three authentication methods:
[!NOTE] OAuth 2.0 is more complex to set up but provides enhanced security features. For most users, API Token authentication (Method A) is simpler and sufficient.
http://localhost:8080/callback
)docker run --rm -i \
-p 8080:8080 \
-v "${HOME}/.mcp-atlassian:/home/app/.mcp-atlassian" \
ghcr.io/sooperset/mcp-atlassian:latest --oauth-setup -v
Client ID
, Secret
, URI
, and Scope
.env
or IDE config:
ATLASSIAN_OAUTH_CLOUD_ID
(from wizard)ATLASSIAN_OAUTH_CLIENT_ID
ATLASSIAN_OAUTH_CLIENT_SECRET
ATLASSIAN_OAUTH_REDIRECT_URI
ATLASSIAN_OAUTH_SCOPE
[!IMPORTANT] For the standard OAuth flow described above, include
offline_access
in your scope (e.g.,read:jira-work write:jira-work offline_access
). This allows the server to refresh the access token automatically.
If you are running mcp-atlassian part of a larger system that manages Atlassian OAuth 2.0 access tokens externally (e.g., through a central identity provider or another application), you can provide an access token directly to this MCP server. This method bypasses the interactive setup wizard and the server's internal token management (including refresh capabilities).
Requirements:
ATLASSIAN_OAUTH_CLOUD_ID
for your Atlassian instance.Configuration: To use this method, set the following environment variables (or use the corresponding command-line flags when starting the server):
ATLASSIAN_OAUTH_CLOUD_ID
: Your Atlassian Cloud ID. (CLI: --oauth-cloud-id
)ATLASSIAN_OAUTH_ACCESS_TOKEN
: Your pre-existing OAuth 2.0 access token. (CLI: --oauth-access-token
)Important Considerations for BYOT:
ATLASSIAN_OAUTH_CLIENT_ID
, ATLASSIAN_OAUTH_CLIENT_SECRET
, ATLASSIAN_OAUTH_REDIRECT_URI
, ATLASSIAN_OAUTH_SCOPE
) are not used and can be omitted when configuring for BYOT.--oauth-setup
wizard is not applicable and should not be used for this approach.-v "${HOME}/.mcp-atlassian:/home/app/.mcp-atlassian"
) is also not necessary if you are exclusively using the BYOT method, as no tokens are stored or managed by this server.This option is useful in scenarios where OAuth credential management is centralized or handled by other infrastructure components.
[!TIP] Multi-Cloud OAuth Support: If you're building a multi-tenant application where users provide their own OAuth tokens, see the Multi-Cloud OAuth Support section for minimal configuration setup.
MCP Atlassian is distributed as a Docker image. This is the recommended way to run the server, especially for IDE integration. Ensure you have Docker installed.
# Pull Pre-built Image
docker pull ghcr.io/sooperset/mcp-atlassian:latest
MCP Atlassian is designed to be used with AI assistants through IDE integration.
[!TIP] For Claude Desktop: Locate and edit the configuration file directly:
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Linux:
~/.config/Claude/claude_desktop_config.json
For Cursor: Open Settings → MCP → + Add new global MCP server
There are two main approaches to configure the Docker container:
--env-file
flag (shown in collapsible sections)[!NOTE] Common environment variables include:
CONFLUENCE_SPACES_FILTER
: Filter by space keys (e.g., "DEV,TEAM,DOC")JIRA_PROJECTS_FILTER
: Filter by project keys (e.g., "PROJ,DEV,SUPPORT")READ_ONLY_MODE
: Set to "true" to disable write operationsMCP_VERBOSE
: Set to "true" for more detailed loggingMCP_LOGGING_STDOUT
: Set to "true" to log to stdout instead of stderrENABLED_TOOLS
: Comma-separated list of tool names to enable (e.g., "confluence_search,jira_get_issue")See the .env.example file for all available options.
Method 1 (Passing Variables Directly):
{
"mcpServers": {
"mcp-atlassian": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e", "CONFLUENCE_URL",
"-e", "CONFLUENCE_USERNAME",
"-e", "CONFLUENCE_API_TOKEN",
"-e", "JIRA_URL",
"-e", "JIRA_USERNAME",
"-e", "JIRA_API_TOKEN",
"ghcr.io/sooperset/mcp-atlassian:latest"
],
"env": {
"CONFLUENCE_URL": "https://your-company.atlassian.net/wiki",
"CONFLUENCE_USERNAME": "your.email@company.com",
"CONFLUENCE_API_TOKEN": "your_confluence_api_token",
"JIRA_URL": "https://your-company.atlassian.net",
"JIRA_USERNAME": "your.email@company.com",
"JIRA_API_TOKEN": "your_jira_api_token"
}
}
}
}
{
"mcpServers": {
"mcp-atlassian": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"--env-file",
"/path/to/your/mcp-atlassian.env",
"ghcr.io/sooperset/mcp-atlassian:latest"
]
}
}
}
For Server/Data Center deployments, use direct variable passing:
{
"mcpServers": {
"mcp-atlassian": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e", "CONFLUENCE_URL",
"-e", "CONFLUENCE_PERSONAL_TOKEN",
"-e", "CONFLUENCE_SSL_VERIFY",
"-e", "JIRA_URL",
"-e", "JIRA_PERSONAL_TOKEN",
"-e", "JIRA_SSL_VERIFY",
"ghcr.io/sooperset/mcp-atlassian:latest"
],
"env": {
"CONFLUENCE_URL": "https://confluence.your-company.com",
"CONFLUENCE_PERSONAL_TOKEN": "your_confluence_pat",
"CONFLUENCE_SSL_VERIFY": "false",
"JIRA_URL": "https://jira.your-company.com",
"JIRA_PERSONAL_TOKEN": "your_jira_pat",
"JIRA_SSL_VERIFY": "false"
}
}
}
}
[!NOTE] Set
CONFLUENCE_SSL_VERIFY
andJIRA_SSL_VERIFY
to "false" only if you have self-signed certificates.
These examples show how to configure mcp-atlassian
in your IDE (like Cursor or Claude Desktop) when using OAuth 2.0 for Atlassian Cloud.
Example for Standard OAuth 2.0 Flow (using Setup Wizard):
This configuration is for when you use the server's built-in OAuth client and have completed the OAuth setup wizard.
{
"mcpServers": {
"mcp-atlassian": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-v", "<path_to_your_home>/.mcp-atlassian:/home/app/.mcp-atlassian",
"-e", "JIRA_URL",
"-e", "CONFLUENCE_URL",
"-e", "ATLASSIAN_OAUTH_CLIENT_ID",
"-e", "ATLASSIAN_OAUTH_CLIENT_SECRET",
"-e", "ATLASSIAN_OAUTH_REDIRECT_URI",
"-e", "ATLASSIAN_OAUTH_SCOPE",
"-e", "ATLASSIAN_OAUTH_CLOUD_ID",
"ghcr.io/sooperset/mcp-atlassian:latest"
],
"env": {
"JIRA_URL": "https://your-company.atlassian.net",
"CONFLUENCE_URL": "https://your-company.atlassian.net/wiki",
"ATLASSIAN_OAUTH_CLIENT_ID": "YOUR_OAUTH_APP_CLIENT_ID",
"ATLASSIAN_OAUTH_CLIENT_SECRET": "YOUR_OAUTH_APP_CLIENT_SECRET",
"ATLASSIAN_OAUTH_REDIRECT_URI": "http://localhost:8080/callback",
"ATLASSIAN_OAUTH_SCOPE": "read:jira-work write:jira-work read:confluence-content.all write:confluence-content offline_access",
"ATLASSIAN_OAUTH_CLOUD_ID": "YOUR_CLOUD_ID_FROM_SETUP_WIZARD"
}
}
}
}
[!NOTE]
- For the Standard Flow:
ATLASSIAN_OAUTH_CLOUD_ID
is obtained from the--oauth-setup
wizard output or is known for your instance.- Other
ATLASSIAN_OAUTH_*
client variables are from your OAuth app in the Atlassian Developer Console.JIRA_URL
andCONFLUENCE_URL
for your Cloud instances are always required.- The volume mount (
-v .../.mcp-atlassian:/home/app/.mcp-atlassian
) is crucial for persisting the OAuth tokens obtained by the wizard, enabling automatic refresh.
Example for Pre-existing Access Token (BYOT - Bring Your Own Token):
This configuration is for when you are providing your own externally managed OAuth 2.0 access token.
{
"mcpServers": {
"mcp-atlassian": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e", "JIRA_URL",
"-e", "CONFLUENCE_URL",
"-e", "ATLASSIAN_OAUTH_CLOUD_ID",
"-e", "ATLASSIAN_OAUTH_ACCESS_TOKEN",
"ghcr.io/sooperset/mcp-atlassian:latest"
],
"env": {
"JIRA_URL": "https://your-company.atlassian.net",
"CONFLUENCE_URL": "https://your-company.atlassian.net/wiki",
"ATLASSIAN_OAUTH_CLOUD_ID": "YOUR_KNOWN_CLOUD_ID",
"ATLASSIAN_OAUTH_ACCESS_TOKEN": "YOUR_PRE_EXISTING_OAUTH_ACCESS_TOKEN"
}
}
}
}
[!NOTE]
- For the BYOT Method:
- You primarily need
JIRA_URL
,CONFLUENCE_URL
,ATLASSIAN_OAUTH_CLOUD_ID
, andATLASSIAN_OAUTH_ACCESS_TOKEN
.- Standard OAuth client variables (
ATLASSIAN_OAUTH_CLIENT_ID
,CLIENT_SECRET
,REDIRECT_URI
,SCOPE
) are not used.- Token lifecycle (e.g., refreshing the token before it expires and restarting mcp-atlassian) is your responsibility, as the server will not refresh BYOT tokens.
MCP Atlassian supports routing API requests through standard HTTP/HTTPS/SOCKS proxies. Configure using environment variables:
HTTP_PROXY
, HTTPS_PROXY
, NO_PROXY
, SOCKS_PROXY
.JIRA_HTTPS_PROXY
, CONFLUENCE_NO_PROXY
).Add the relevant proxy variables to the args
(using -e
) and env
sections of your MCP configuration:
{
"mcpServers": {
"mcp-atlassian": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e", "... existing Confluence/Jira vars",
"-e", "HTTP_PROXY",
"-e", "HTTPS_PROXY",
"-e", "NO_PROXY",
"ghcr.io/sooperset/mcp-atlassian:latest"
],
"env": {
"... existing Confluence/Jira vars": "...",
"HTTP_PROXY": "http://proxy.internal:8080",
"HTTPS_PROXY": "http://proxy.internal:8080",
"NO_PROXY": "localhost,.your-company.com"
}
}
}
}
Credentials in proxy URLs are masked in logs. If you set NO_PROXY
, it will be respected for requests to matching hosts.
MCP Atlassian supports multi-cloud OAuth scenarios where each user connects to their own Atlassian cloud instance. This is useful for multi-tenant applications, chatbots, or services where users provide their own OAuth tokens.
Minimal OAuth Configuration:
Enable minimal OAuth mode (no client credentials required):
docker run -e ATLASSIAN_OAUTH_ENABLE=true -p 9000:9000 \
ghcr.io/sooperset/mcp-atlassian:latest \
--transport streamable-http --port 9000
Users provide authentication via HTTP headers:
Authorization: Bearer <user_oauth_token>
X-Atlassian-Cloud-Id: <user_cloud_id>
Example Integration (Python):
import asyncio
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession
user_token = "user-specific-oauth-token"
user_cloud_id = "user-specific-cloud-id"
async def main():
# Connect to streamable HTTP server with custom headers
async with streamablehttp_client(
"http://localhost:9000/mcp",
headers={
"Authorization": f"Bearer {user_token}",
"X-Atlassian-Cloud-Id": user_cloud_id
}
) as (read_stream, write_stream, _):
# Create a session using the client streams
async with ClientSession(read_stream, write_stream) as session:
# Initialize the connection
await session.initialize()
# Example: Get a Jira issue
result = await session.call_tool(
"jira_get_issue",
{"issue_key": "PROJ-123"}
)
print(result)
asyncio.run(main())
Configuration Notes:
X-Atlassian-Cloud-Id
headerATLASSIAN_OAUTH_CLOUD_ID
if header not providedFor Confluence Cloud only:
{
"mcpServers": {
"mcp-atlassian": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e", "CONFLUENCE_URL",
"-e", "CONFLUENCE_USERNAME",
"-e", "CONFLUENCE_API_TOKEN",
"ghcr.io/sooperset/mcp-atlassian:latest"
],
"env": {
"CONFLUENCE_URL": "https://your-company.atlassian.net/wiki",
"CONFLUENCE_USERNAME": "your.email@company.com",
"CONFLUENCE_API_TOKEN": "your_api_token"
}
}
}
}
For Confluence Server/DC, use:
{
"mcpServers": {
"mcp-atlassian": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e", "CONFLUENCE_URL",
"-e", "CONFLUENCE_PERSONAL_TOKEN",
"ghcr.io/sooperset/mcp-atlassian:latest"
],
"env": {
"CONFLUENCE_URL": "https://confluence.your-company.com",
"CONFLUENCE_PERSONAL_TOKEN": "your_personal_token"
}
}
}
}
For Jira Cloud only:
{
"mcpServers": {
"mcp-atlassian": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e", "JIRA_URL",
"-e", "JIRA_USERNAME",
"-e", "JIRA_API_TOKEN",
"ghcr.io/sooperset/mcp-atlassian:latest"
],
"env": {
"JIRA_URL": "https://your-company.atlassian.net",
"JIRA_USERNAME": "your.email@company.com",
"JIRA_API_TOKEN": "your_api_token"
}
}
}
}
For Jira Server/DC, use:
{
"mcpServers": {
"mcp-atlassian": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e", "JIRA_URL",
"-e", "JIRA_PERSONAL_TOKEN",
"ghcr.io/sooperset/mcp-atlassian:latest"
],
"env": {
"JIRA_URL": "https://jira.your-company.com",
"JIRA_PERSONAL_TOKEN": "your_personal_token"
}
}
}
}
Instead of using stdio
, you can run the server as a persistent HTTP service using either:
sse
(Server-Sent Events) transport at /sse
endpointstreamable-http
transport at /mcp
endpointBoth transport types support single-user and multi-user authentication:
Authentication Options:
Start the server with your chosen transport:
# For SSE transport
docker run --rm -p 9000:9000 \
--env-file /path/to/your/.env \
ghcr.io/sooperset/mcp-atlassian:latest \
--transport sse --port 9000 -vv
# OR for streamable-http transport
docker run --rm -p 9000:9000 \
--env-file /path/to/your/.env \
ghcr.io/sooperset/mcp-atlassian:latest \
--transport streamable-http --port 9000 -vv
Configure your IDE (single-user example):
SSE Transport Example:
{
"mcpServers": {
"mcp-atlassian-http": {
"url": "http://localhost:9000/sse"
}
}
}
Streamable-HTTP Transport Example:
{
"mcpServers": {
"mcp-atlassian-service": {
"url": "http://localhost:9000/mcp"
}
}
}
Here's a complete example of setting up multi-user authentication with streamable-HTTP transport:
First, run the OAuth setup wizard to configure the server's OAuth credentials:
docker run --rm -i \
-p 8080:8080 \
-v "${HOME}/.mcp-atlassian:/home/app/.mcp-atlassian" \
ghcr.io/sooperset/mcp-atlassian:latest --oauth-setup -v
Start the server with streamable-HTTP transport:
docker run --rm -p 9000:9000 \
--env-file /path/to/your/.env \
ghcr.io/sooperset/mcp-atlassian:latest \
--transport streamable-http --port 9000 -vv
Configure your IDE's MCP settings:
Choose the appropriate Authorization method for your Atlassian deployment:
Cloud (OAuth 2.0) Example:
{
"mcpServers": {
"mcp-atlassian-service": {
"url": "http://localhost:9000/mcp",
"headers": {
"Authorization": "Bearer <USER_OAUTH_ACCESS_TOKEN>"
}
}
}
}
Server/Data Center (PAT) Example:
{
"mcpServers": {
"mcp-atlassian-service": {
"url": "http://localhost:9000/mcp",
"headers": {
"Authorization": "Token <USER_PERSONAL_ACCESS_TOKEN>"
}
}
}
}
.env
:
JIRA_URL=https://your-company.atlassian.net
CONFLUENCE_URL=https://your-company.atlassian.net/wiki
ATLASSIAN_OAUTH_CLIENT_ID=your_oauth_app_client_id
ATLASSIAN_OAUTH_CLIENT_SECRET=your_oauth_app_client_secret
ATLASSIAN_OAUTH_REDIRECT_URI=http://localhost:8080/callback
ATLASSIAN_OAUTH_SCOPE=read:jira-work write:jira-work read:confluence-content.all write:confluence-content offline_access
ATLASSIAN_OAUTH_CLOUD_ID=your_cloud_id_from_setup_wizard
[!NOTE]
- The server should have its own fallback authentication configured (e.g., via environment variables for API token, PAT, or its own OAuth setup using --oauth-setup). This is used if a request doesn't include user-specific authentication.
- OAuth: Each user needs their own OAuth access token from your Atlassian OAuth app.
- PAT: Each user provides their own Personal Access Token.
- Multi-Cloud: For OAuth users, optionally include
X-Atlassian-Cloud-Id
header to specify which Atlassian cloud instance to use- The server will use the user's token for API calls when provided, falling back to server auth if not
- User tokens should have appropriate scopes for their needed operations
jira_get_issue
: Get details of a specific issuejira_search
: Search issues using JQLjira_create_issue
: Create a new issuejira_update_issue
: Update an existing issuejira_transition_issue
: Transition an issue to a new statusjira_add_comment
: Add a comment to an issueconfluence_search
: Search Confluence content using CQLconfluence_get_page
: Get content of a specific pageconfluence_create_page
: Create a new pageconfluence_update_page
: Update an existing pageOperation | Jira Tools | Confluence Tools |
---|---|---|
Read | jira_search | confluence_search |
jira_get_issue | confluence_get_page | |
jira_get_all_projects | confluence_get_page_children | |
jira_get_project_issues | confluence_get_comments | |
jira_get_worklog | confluence_get_labels | |
jira_get_transitions | confluence_search_user | |
jira_search_fields | ||
jira_get_agile_boards | ||
jira_get_board_issues | ||
jira_get_sprints_from_board | ||
jira_get_sprint_issues | ||
jira_get_issue_link_types | ||
jira_batch_get_changelogs * | ||
jira_get_user_profile | ||
jira_download_attachments | ||
jira_get_project_versions | ||
Write | jira_create_issue | confluence_create_page |
jira_update_issue | confluence_update_page | |
jira_delete_issue | confluence_delete_page | |
jira_batch_create_issues | confluence_add_label | |
jira_add_comment | confluence_add_comment | |
jira_transition_issue | ||
jira_add_worklog | ||
jira_link_to_epic | ||
jira_create_sprint | ||
jira_update_sprint | ||
jira_create_issue_link | ||
jira_remove_issue_link | ||
jira_create_version | ||
jira_batch_create_versions |
*Tool only available on Jira Cloud
The server provides two ways to control tool access:
Tool Filtering: Use --enabled-tools
flag or ENABLED_TOOLS
environment variable to specify which tools should be available:
# Via environment variable
ENABLED_TOOLS="confluence_search,jira_get_issue,jira_search"
# Or via command line flag
docker run ... --enabled-tools "confluence_search,jira_get_issue,jira_search" ...
Read/Write Control: Tools are categorized as read or write operations. When READ_ONLY_MODE
is enabled, only read operations are available regardless of ENABLED_TOOLS
setting.
CONFLUENCE_USERNAME
and CONFLUENCE_API_TOKEN
(where token is your password)CONFLUENCE_SSL_VERIFY=false
or JIRA_SSL_VERIFY=false
# Using MCP Inspector for testing
npx @modelcontextprotocol/inspector uvx mcp-atlassian ...
# For local development version
npx @modelcontextprotocol/inspector uv --directory /path/to/your/mcp-atlassian run mcp-atlassian ...
# View logs
# macOS
tail -n 20 -f ~/Library/Logs/Claude/mcp*.log
# Windows
type %APPDATA%\Claude\logs\mcp*.log | more
We welcome contributions to MCP Atlassian! If you'd like to contribute:
We use pre-commit hooks for code quality and follow semantic versioning for releases.
Licensed under MIT - see LICENSE file. This is not an official Atlassian product.
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