cohere-ai/mcp-atlassian
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Description: MCP server for Atlassian tools (Confluence, Jira)
Language: Python
License: MIT
Stars: 0
Forks: 0
Open issues: 15
Created: 2025-11-18T20:26:30Z
Pushed: 2026-04-28T18:01:45Z
Default branch: main
Fork: yes
Parent repository: sooperset/mcp-atlassian
Archived: yes
README:
MCP Atlassian
WARNING: Confluence not supported in this fork, we will clean up soon
!PePy - Total Downloads 
Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). This integration supports both Confluence & Jira Cloud and Server/Data Center deployments.
Example Usage
Ask your AI assistant to:
- 📝 Automatic Jira Updates - "Update Jira from our meeting notes"
- 🔍 AI-Powered Confluence Search - "Find our OKR guide in Confluence and summarize it"
- 🐛 Smart Jira Issue Filtering - "Show me urgent bugs in PROJ project from last week"
- 📄 Content Creation & Management - "Create a tech design doc for XYZ feature"
Feature Demo
https://github.com/user-attachments/assets/35303504-14c6-4ae4-913b-7c25ea511c3e
Confluence Demo
https://github.com/user-attachments/assets/7fe9c488-ad0c-4876-9b54-120b666bb785
Compatibility
| 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+) |
Quick Start Guide
🔐 1. Authentication Setup
MCP Atlassian supports three authentication methods:
A. API Token Authentication (Cloud) - Recommended
1. Go to https://id.atlassian.com/manage-profile/security/api-tokens 2. Click Create API token, name it 3. Copy the token immediately
B. Personal Access Token (Server/Data Center)
1. Go to your profile (avatar) → Profile → Personal Access Tokens 2. Click Create token, name it, set expiry 3. Copy the token immediately
C. OAuth 2.0 Authentication (Cloud) - Advanced
> [!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.
1. Go to Atlassian Developer Console 2. Create an "OAuth 2.0 (3LO) integration" app 3. Configure Permissions (scopes) for Jira/Confluence 4. Set Callback URL (e.g., http://localhost:8080/callback) 5. Run setup wizard:
docker run --rm -i \
-p 8080:8080 \
-v "${HOME}/.mcp-atlassian:/home/app/.mcp-atlassian" \
ghcr.io/sooperset/mcp-atlassian:latest --oauth-setup -v6. Follow prompts for Client ID, Secret, URI, and Scope 7. Complete browser authorization 8. Add obtained credentials to .env or IDE config:
ATLASSIAN_OAUTH_CLOUD_ID(from wizard)ATLASSIAN_OAUTH_CLIENT_IDATLASSIAN_OAUTH_CLIENT_SECRETATLASSIAN_OAUTH_REDIRECT_URIATLASSIAN_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.
Alternative: Using a Pre-existing OAuth Access Token (BYOT)
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:
- A valid Atlassian OAuth 2.0 Access Token with the necessary scopes for the intended operations.
- The corresponding
ATLASSIAN_OAUTH_CLOUD_IDfor 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:
- Token Lifecycle Management: When using BYOT, the MCP server does not handle token refresh. The responsibility for obtaining, refreshing (before expiry), and revoking the access token lies entirely with you or the external system providing the token.
- Unused Variables: The standard OAuth client variables (
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. - No Setup Wizard: The
--oauth-setupwizard is not applicable and should not be used for this approach. - No Token Cache Volume: The Docker volume mount for token storage (e.g.,
-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. - Scope: The provided access token must already have the necessary permissions (scopes) for the Jira/Confluence operations you intend to perform.
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](#multi-cloud-oauth-support) section for minimal configuration setup.
📦 2. Installation
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
🛠️ IDE Integration
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:…
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Notability
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