mock-jira

A standalone mock of a JIRA-shaped issue-tracking API for the adev course tracks to consume as an external system dependency. Required by the portwell-engineering (SDLC) and portwell-analytics (DDLC) tracks.

Independent repo: no dependency on course-shared, the other mock-* repos, or any track repo. Tracks that need it pull it in as a service dependency; this repo never depends on them back.

Running the UI end-to-end test suite

The kanban-ui end-to-end suite drives a real Chromium browser (via Playwright) against a real issue-tracker-api server process. One-time local setup:

pip install -r requirements-e2e.txt
playwright install chromium

Then run it (already covered by the e2e-smoke gate, which runs all of tests_e2e/):

.venv/bin/python3 -m pytest -q tests_e2e/

Related MCP server: jira-cli-mcp

Running with Docker

docker compose up

This builds two images (issue-tracker-api, which also serves kanban-ui's static assets, and mcp-server) and starts them in dependency order — issue-tracker-api first, mcp-server once the API reports healthy.

• issue-tracker-api is published at http://localhost:8010 (override with PORT=<port>)

• mcp-server is published at http://localhost:8011 (override with MCP_PORT=<port>)

• Neither port is exposed beyond localhost by default

• The SQLite database lives in a named volume (mock_jira_db) and survives docker compose down (without -v)

• Confirm the stack is healthy: docker compose ps (both services should show healthy/running) or curl http://localhost:8010/

• View combined logs from both containers: docker compose logs -f

• Tear down (keeping data): docker compose down; tear down and wipe data: docker compose down -v

Connecting an MCP client

mcp-server speaks the MCP streamable-http transport at http://localhost:8011/mcp (note the /mcp path — the bare host:port above is not itself a valid endpoint). It exposes 9 tools, thin wrappers over issue-tracker-api's HTTP contract:

list_projects, create_project, list_issues, get_issue, create_issue, update_issue, delete_issue, list_users, create_user.

From another Claude Code session — register it once, then just ask that session to use it:

claude mcp add --transport http mock-jira http://localhost:8011/mcp

From a plain Python script — using the official mcp SDK (pip install -r requirements-mcp.txt, or pip install mcp):

import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamable_http_client

async def main():
    async with streamable_http_client("http://localhost:8011/mcp") as (r, w):
        async with ClientSession(r, w) as session:
            await session.initialize()
            tools = await session.list_tools()
            print([t.name for t in tools.tools])
            print(await session.call_tool("list_projects", {}))

asyncio.run(main())

From a GUI, with no code — the official inspector:

npx @modelcontextprotocol/inspector

Point it at http://localhost:8011/mcp with transport "Streamable HTTP".