MCP Atlassian Server (by phuc-nt)
@phuc-nt
MCP server connecting AI assistants with Jira & Confluence for smart project management.
Overview
What is MCP Atlassian Server (by phuc-nt)?
MCP Atlassian Server (by phuc-nt) is a Model Context Protocol server that connects AI agents like Cline, Claude Desktop, or Cursor to Atlassian Jira and Confluence, enabling them to query data and perform actions through a standardized interface. It is optimized for use with Cline AI assistant.
How to use MCP Atlassian Server (by phuc-nt)?
Install via Smithery using the command npx -y @smithery/cli install @phuc-nt/mcp-atlassian-server --client claude, or follow the step-by-step installation guide in llms-install.md for setting up Node.js, obtaining Atlassian API tokens, and configuring AI assistants like Cline. Configuration involves setting the correct API token and server details.
Key features of MCP Atlassian Server (by phuc-nt)
- Connects AI agents to Atlassian Jira and Confluence
- Supports read-only Resources and action Tools (48 features total)
- Optimized for Cline AI assistant integration
- Uses latest Atlassian APIs (Jira v3, Confluence v2)
- Enables Agile board and sprint management
- Provides page version management and comment handling for Confluence
Use cases of MCP Atlassian Server (by phuc-nt)
- View, search, create, update, and transition Jira issues directly from an AI assistant
- Manage Confluence pages, comments, and attachments without leaving the AI workflow
- Perform Agile sprint management (create, start, close sprints) through natural language commands
- Query and manage Jira filters and dashboards to streamline project tracking
- Access user details and assign issues to team members via AI
FAQ from MCP Atlassian Server (by phuc-nt)
What AI assistants are supported?
The server is optimized for Cline but follows the MCP standard and can work with other MCP-compatible clients like Claude Desktop or Cursor.
How do I get an Atlassian API token?
You need to create an API token from your Atlassian account. Detailed instructions are provided in the llms-install.md guide.
What are the security considerations?
Your API token inherits all permissions of the user that created it. Never share your token with untrusted parties, and be cautious when using LLMs to analyze config files containing your token.
