Jira MCP Server
by chuan-khuna
Jira MCP Server is designed to query tasks for specific assignees. It allows users to summarize tasks from Jira based on assignee and date.
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What is Jira MCP Server?
Jira MCP Server is a server application that allows users to query and summarize tasks from Jira for specific assignees within a given timeframe. It's designed to be integrated into a larger MCP (Meta-Control-Plane) system.
How to use Jira MCP Server?
The server is configured via a JSON file (mcpServers
) specifying the command and arguments to run the server. You can then interact with the server by providing prompts such as 'Summarise tasks for <assignee>
from <date>
, limit pagination to 10 pages.'
Key features of Jira MCP Server
Query tasks by assignee
Summarize tasks for resume
Configurable via JSON
Integration with MCP systems
Use cases of Jira MCP Server
Generating task summaries for performance reviews
Creating resume-friendly task descriptions
Automating task reporting
Integrating Jira task data into other applications
FAQ from Jira MCP Server
What is MCP?
What is MCP?
MCP likely stands for Meta-Control-Plane, suggesting a system for managing and controlling other applications or services. More context is needed for a precise definition.
How do I configure the server?
How do I configure the server?
The server is configured using a JSON file, specifically the mcpServers
section, where you define the command and arguments to execute the server.
What arguments can I pass to the server?
What arguments can I pass to the server?
The example shows --directory
as an argument. The specific arguments will depend on the server.py
implementation.
What format should the date be in?
What format should the date be in?
The README does not specify the date format. Check the server.py
documentation or implementation for details.
How do I deploy the server?
How do I deploy the server?
The README provides a development command uv run mcp dev server.py
. Deployment will depend on your environment and requirements, but likely involves running the server process in a production environment.