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MCP Atlassian (On-Prem/Data Center Ready)

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Model Context Protocol (MCP) server for Atlassian Jira and Confluence. Supports Cloud and Server/Data Center deployments, with on-prem friendly auth and SSL options.

Fork note: this repository is based on https://github.com/sooperset/mcp-atlassian and focuses on on-prem/Data Center deployment clarity and repo hygiene for production use.

https://github.com/user-attachments/assets/35303504-14c6-4ae4-913b-7c25ea511c3e

https://github.com/user-attachments/assets/7fe9c488-ad0c-4876-9b54-120b666bb785

Why use this

  • Unified Jira + Confluence MCP server with typed models and robust tooling

  • Works with Cloud and Server/Data Center (PAT, OAuth, basic auth)

  • Read-only mode for safer production usage

  • Streamable HTTP and SSE transports for multi-user setups

Quick Start

1. Get your API token

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.

2. Configure your IDE

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"
      }
    }
  }
}

Python 3.14 not yet supported. Use ["--python=3.12", "mcp-atlassian"] as args if needed.

Server/Data Center users: Use JIRA_PERSONAL_TOKEN instead of JIRA_USERNAME + JIRA_API_TOKEN. See Authentication for details.

3. Start using

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"

On-Prem/Data Center notes

  • PAT auth: set JIRA_PERSONAL_TOKEN and CONFLUENCE_PERSONAL_TOKEN

  • SSL: set JIRA_SSL_VERIFY=false or CONFLUENCE_SSL_VERIFY=false only when required

  • Client certs: JIRA_CLIENT_CERT / JIRA_CLIENT_KEY and CONFLUENCE_CLIENT_CERT / CONFLUENCE_CLIENT_KEY

Documentation

Full documentation is available at personal-1d37018d.mintlify.app.

Documentation is also available in llms.txt format, which LLMs can consume easily:

Topic

Description

Installation

uvx, Docker, pip, from source

Authentication

API tokens, PAT, OAuth 2.0

Configuration

IDE setup, environment variables

HTTP Transport

SSE, streamable-http, multi-user

Tools Reference

All Jira & Confluence tools

Troubleshooting

Common issues & debugging

Compatibility

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+)

Key Tools

Jira

Confluence

jira_search - Search with JQL

confluence_search - Search with CQL

jira_search_all - Search with auto pagination

confluence_search_all - Search with auto pagination

jira_get_issue - Get issue details

confluence_get_page - Get page content

jira_get_issues_bulk - Fetch multiple issues

confluence_get_pages_bulk - Fetch multiple pages

jira_create_issue - Create issues

confluence_create_page - Create pages

jira_update_issue - Update issues

confluence_update_page - Update pages

jira_transition_issue - Change status

confluence_add_comment - Add comments

See Tools Reference for the complete list.

Security

Never share API tokens. Keep .env files secure. See SECURITY.md.

Contributing

See CONTRIBUTING.md for development setup.

License

MIT - See LICENSE. Not an official Atlassian product.

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