MCP Jira Integration

@Warzuponus

Repository

Basic information

About MCP Jira Integration

JIRA integration server for Model Context Protocol (MCP) - enables LLMs to interact with JIRA tasks and workflows

#mcp #jira #integration #project-management #ai-assistant

MCP Jira Integration config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-jira-warzuponus": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

MCP Jira Integration tools

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.

Overview

What is MCP Jira Integration?

MCP Jira Integration is a Model Context Protocol server that connects LLMs to Jira via the Jira REST API v3. It enables AI assistants to act as project managers and personal assistants for Jira teams by providing tools like issue creation, sprint tracking, and standup generation.

How to use MCP Jira Integration?

Clone the repository, install dependencies in a virtual environment, and configure Jira credentials in a .env file. Run the server with python -m mcp_jira and connect it to any MCP-compatible client (e.g., Claude Desktop) by adding the server entry to the client’s configuration file.

Key features of MCP Jira Integration

Create Jira issues with proper ADF formatting
Search issues using JQL with pagination
Get comprehensive sprint progress reports
Analyze team member workloads and capacity
Generate automated daily standup reports
Automatic retry with exponential backoff on errors

Use cases of MCP Jira Integration

Create a prioritized bug or task directly from an LLM prompt
Ask for real-time sprint status with visual metrics
Review team workload distribution and capacity planning
Generate daily standup reports with completed and blocked items
Manage multiple Jira projects by specifying project keys dynamically

Frequently asked questions

What are the requirements to run MCP Jira Integration?

Python 3.8 or higher, a Jira Cloud account with an API token, and an MCP-compatible client like Claude Desktop.

How do I get a Jira API token?

Go to Atlassian Account Settings > Security > API tokens, create a token, and use your email as username with the token as password.

Where do I configure the server for Claude Desktop?

The config file is at `~/Library/Application Support/Claude/claude_desktop_config.json` on macOS and `%APPDATA%\Claude\claude_desktop_config.json` on Windows. Add the server entry with the absolute path to the Python binary inside the project’s `.venv` folder.

What should I do if I get “No active sprint found”?

Ensure your Jira board has an active sprint and that `DEFAULT_BOARD_ID` is set correctly in your configuration.

Can I override the default project key per request?

Yes. The `PROJECT_KEY` and `DEFAULT_BOARD_ID` values can be overridden dynamically when calling the tools.

Comments

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