Jira MCP Server

Jira MCP Server

A server that exposes Jira Cloud operations as MCP tools, enabling programmatic management of Epics, Stories, Tasks, and Sprints directly from an AI chat or agentic workflow.

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Jira MCP Server

A Model Context Protocol (MCP) server that exposes Jira Cloud to Claude and other LLM agents — enabling programmatic management of Epics, Stories, Tasks, and Sprints directly from an AI chat or agentic workflow.

Stack: Node.js, TypeScript, Fastify, PostgreSQL, Docker, Liquibase

What it does

  • Exposes Jira Cloud operations as MCP tools (create/update/query issues, manage sprints, epics)
  • Persists conversation context and tool history in PostgreSQL
  • Deployable as a Docker container alongside your MCP client

Quick start

# 1. Copy env template and fill in your Jira credentials
cp .env.example .env

# 2. Start with Docker Compose (includes Postgres)
docker-compose up

# 3. Run database migrations
docker-compose --profile migrate run --rm liquibase

Configuration

Required env vars (see .env.example):

Variable Description
JIRA_BASE_URL Your Jira Cloud URL (e.g. https://yourorg.atlassian.net)
JIRA_EMAIL Atlassian account email
JIRA_API_TOKEN Jira API token (generate at id.atlassian.com)
POSTGRES_PASSWORD Database password

Development

npm install
npm run start:dev    # watch mode
npm run test         # unit tests
npm run test:e2e     # e2e tests
npm run build        # compile to dist/

MCP client setup

Add to your MCP client config (e.g. Claude Code .mcp.json):

{
  "mcpServers": {
    "jira": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "--env-file", ".env", "jira-mcp"]
    }
  }
}

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