mock-jira
Allows interaction with a Jira-compatible issue tracker, providing tools to list and create projects, issues, and users.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mock-jira@mock-jira list open issues"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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-assist (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 chromiumThen 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 upThis 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-apiis published athttp://localhost:8000(override withPORT=<port>)mcp-serveris published athttp://localhost:8001(override withMCP_PORT=<port>)Neither port is exposed beyond
localhostby defaultThe SQLite database lives in a named volume (
mock_jira_db) and survivesdocker compose down(without-v)Confirm the stack is healthy:
docker compose ps(both services should showhealthy/running) orcurl http://localhost:8000/View combined logs from both containers:
docker compose logs -fTear 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:8001/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:8001/mcpFrom 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:8001/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/inspectorPoint it at http://localhost:8001/mcp with transport "Streamable HTTP".
Tool Schema Changelog
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