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.
README
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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