MCP Atlassian
A Model Context Protocol server for Atlassian Jira and Confluence that supports both Cloud and On-Prem/Data Center deployments. It enables AI assistants to search, create, and manage issues and pages using secure authentication methods like PAT and OAuth.
README
MCP Atlassian (On-Prem/Data Center Ready)
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
<details> <summary>Confluence Demo</summary>
https://github.com/user-attachments/assets/7fe9c488-ad0c-4876-9b54-120b666bb785
</details>
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_TOKENinstead ofJIRA_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_TOKENandCONFLUENCE_PERSONAL_TOKEN - SSL: set
JIRA_SSL_VERIFY=falseorCONFLUENCE_SSL_VERIFY=falseonly when required - Client certs:
JIRA_CLIENT_CERT/JIRA_CLIENT_KEYandCONFLUENCE_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:
llms.txt— documentation sitemapllms-full.txt— complete documentation
| 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.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
E2B
Using MCP to run code via e2b.