MCP Server for handling Jira issues
Configuration
View docs{
"mcpServers": {
"infinitiq-tech-mcp-jira": {
"command": "<PATH TO UV> i.e. /Users/<MYUSERNAME>/.local/bin/uv",
"args": [
"--directory",
"<PATH TO JIRA MCP>",
"run",
"mcp-server-jira"
],
"env": {
"JIRA_TOKEN": "<TOKEN>",
"JIRA_PASSWORD": "your_password",
"JIRA_USERNAME": "<USERNAME>",
"JIRA_SERVER_URL": "https://<ORG>.atlassian.net/",
"JIRA_AUTH_METHOD": "token_auth"
}
}
}
}You can run a Python-based MCP server that talks to Jira’s REST API, letting you manage projects, issues, and workflows through natural language interactions with MCP clients like Claude Desktop. This server exposes convenient endpoints for common Jira tasks and integrates into your development workflow with a straightforward setup.
Start the Jira MCP Server and connect it to your MCP client. Once running, you can perform actions such as listing all accessible Jira projects, retrieving details for a specific issue, searching issues with JQL, creating issues, adding comments, and handling transitions between workflow statuses. Use natural language prompts in your MCP client to trigger these actions, for example asking the server to show all projects, fetch issue details, or transition an issue to a new status.
Retrieve all accessible Jira projects you can view.
Fetch details for a specific Jira issue by its key (e.g., PROJECT-123).
Query Jira issues using JQL to filter by status, assignee, labels, and more.
Create a new Jira issue with a summary, description, project, and issue type.
Add a comment to a specific Jira issue.
Get available workflow transitions for a Jira issue.
Move a Jira issue to a new status via a transition.