sooperset/mcp-atlassian
by Various
MCP server for Atlassian tools (Confluence, Jira)
MCP
sooperset/mcp-atlassian
Added 1 June 2026
Overview
This is an MCP server that provides a unified interface for Atlassian tools like Confluence and Jira. It exposes resources and tools such as list spaces, search issues, and create pages through the Model Context Protocol for use by AI agents.
Best for
Best for
Developers building AI agents that need to interact with Confluence and Jira
Use cases
- Querying Confluence spaces and pages from an AI agent
- Searching and filtering Jira issues programmatically
- Creating Confluence pages and Jira issues via an MCP client
How to use
Install
uvx mcp-atlassian Tested with
Claude Desktop, Cursor
Example client config
{\n "mcpServers": {\n "mcp-atlassian": {\n "command": "uvx",\n "args": ["mcp-atlassian"],\n "env": {\n "JIRA_URL": "https://your-company.atlassian.net",\n "JIRA_USERNAME": "your.email@company.com",\n "JIRA_API_TOKEN": "your_api_token",\n "CONFLUENCE_URL": "https://your-company.atlassian.net/wiki",\n "CONFLUENCE_USERNAME": "your.email@company.com",\n "CONFLUENCE_API_TOKEN": "your_api_token"\n }\n }\n }\n} Notes
This is an MCP server that provides a unified interface for Atlassian tools like Confluence and Jira. It exposes resources and tools such as list spaces, search issues, and create pages through the Model Context Protocol for use by AI agents.
5,314 stars on GitHub. Last updated 2026-04-10. Licensed MIT.
Use cases
- Querying Confluence spaces and pages from an AI agent
- Searching and filtering Jira issues programmatically
- Creating Confluence pages and Jira issues via an MCP client
Pros
- Well-starred open source project with active community
- Covers both Confluence and Jira in one server
- Simple Python installation and configuration
Cons
- Limited to two Atlassian products (no Bitbucket or Opsgenie)
- Requires API tokens and proper network access to your instance
- Dependent on MCP client compatibility and ecosystem maturity
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Well-starred open source project with active community
- Covers both Confluence and Jira in one server
- Simple Python installation and configuration
Cons
- Limited to two Atlassian products (no Bitbucket or Opsgenie)
- Requires API tokens and proper network access to your instance
- Dependent on MCP client compatibility and ecosystem maturity
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