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.
@phuc-nt
Basic information
MCP server connecting AI assistants with Jira & Confluence for smart project management.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"phuc-nt/mcp-atlassian-server": {
"disabled": false,
"timeout": 60,
"command": "node",
"args": [
"/full/path/to/mcp-atlassian-server/dist/index.js"
],
"env": {
"ATLASSIAN_SITE_NAME": "your-site.atlassian.net",
"ATLASSIAN_USER_EMAIL": "your-email@example.com",
"ATLASSIAN_API_TOKEN": "your-api-token"
},
"transportType": "stdio"
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
The server is optimized for Cline but follows the MCP standard and can work with other MCP-compatible clients like Claude Desktop or Cursor.
You need to create an API token from your Atlassian account. Detailed instructions are provided in the `llms-install.md` guide.
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.
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