MCP-4 of milestone 461 "MCP server: Steward as an LLM-inspectable, LLM-operable hub". Twelve read-only viewer tools: - get_overview: what is wrong now, ranked critical-then-oldest. Failing monitors with their error and when the run of failures began, firing, pending and still-breaching acknowledged alerts, TLS certificates expiring within 14 days, agents that stopped reporting, hosts over the configured CPU/memory/disk thresholds (Settings > Thresholds), failed Ansible runs in the last 24h, and findings from enabled plugins through a new optional `mcp_overview(db)` plugin hook. Each finding names the call that shows its evidence. - list_hosts, get_host, get_host_metrics - list_monitors, get_monitor (HTTP header values and URL passwords are redacted) - list_alerts, get_alert_history, list_alert_rules, list_maintenance_windows - query_metrics: the whole metric store, narrowed one argument at a time (sources > resources > latest values > a series summary) - list_audit_events Shared shaping in steward/mcp/tools/_shape.py: UTC ISO times with age_s, bounded lists that say when and how they were cut, series as min/avg/max/p95/last plus a ≤60-point series, lookup by id or case-insensitive name with a did-you-mean, and a range argument that refuses an unknown key instead of reading it as 24h. New core reads in steward/core/metric_series.py (sources and resources via loose index scans, latest values via DISTINCT ON, series across the raw/hourly-rollup seam). monitors/service.py gains monitor_states, down_since and recent_failures; agent_overview_by_host now carries the fullest disk and the last sample time. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Writing a Plugin
This guide walks through building a complete plugin from scratch. The Traefik plugin (plugins/traefik/) is the reference implementation — read it alongside this guide.
Step 1: Create the Directory
plugins/
└── myplugin/
└── __init__.py ← start here
The directory name is the plugin's identity. It must match the name field in plugin.yaml and is used as the URL prefix (/plugins/myplugin/) and the Python import name.
Step 2: Write plugin.yaml
name: myplugin
version: "1.0.0"
description: "A short description of what this plugin monitors"
author: "Your Name or GitHub username"
license: "MIT" # any SPDX identifier, e.g. MIT, Apache-2.0, GPL-3.0
# Optional: prevents loading on older app versions
min_app_version: "0.1.0"
# Optional: shown in the catalog UI
repository_url: "https://github.com/yourname/yourrepo"
homepage: "https://github.com/yourname/yourrepo/tree/main/myplugin"
tags:
- monitoring
- http
# Default config values — users override these via the Settings UI
# or by writing to the app_settings DB table under "plugin.myplugin"
config:
target_url: "http://localhost:9090/metrics"
scrape_interval_seconds: 60
Step 3: Define Models (if needed)
If your plugin stores data, define SQLAlchemy models using the shared Base from steward.models.base.
# plugins/myplugin/models.py
from __future__ import annotations
import uuid
from datetime import datetime
from sqlalchemy import String, Float, DateTime
from sqlalchemy.orm import Mapped, mapped_column
from steward.models.base import Base
class MyPluginMetric(Base):
__tablename__ = "myplugin_metrics"
id: Mapped[str] = mapped_column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
resource_name: Mapped[str] = mapped_column(String, nullable=False, index=True)
scraped_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False)
my_value: Mapped[float] = mapped_column(Float, nullable=False)
Step 4: Write Migrations
Create plugins/myplugin/migrations/ with the standard Alembic layout. Copy env.py and script.py.mako from plugins/traefik/migrations/ as a starting point — the env.py is boilerplate and rarely needs changes.
Generate the initial migration:
# From the project root
alembic --config alembic.ini revision \
--autogenerate \
--head=steward@head \
--branch-label=myplugin \
-m "myplugin initial"
Edit the generated file to set depends_on:
# In the generated revision file:
depends_on = ("0004_core_head_id",) # the core migration head ID
down_revision = None
branch_labels = ("myplugin",)
# Prefix the revision ID with the plugin name:
revision = "myplugin_001_initial"
Step 5: Write Scheduled Task Logic
Keep task logic in a separate file so __init__.py stays clean.
# plugins/myplugin/scheduler.py
from __future__ import annotations
import logging
from steward.core.scheduler import ScheduledTask
from steward.core.alerts import record_metric
logger = logging.getLogger(__name__)
def make_task(app) -> ScheduledTask:
interval = int(app.config["PLUGINS"]["myplugin"]["scrape_interval_seconds"])
async def scrape():
await _do_scrape(app)
return ScheduledTask(
name="myplugin_scrape",
coro_factory=scrape,
interval_seconds=interval,
run_on_startup=True,
)
async def _do_scrape(app) -> None:
from .models import MyPluginMetric
from datetime import datetime, timezone
url = app.config["PLUGINS"]["myplugin"]["target_url"]
try:
value = await _fetch_value(url)
except Exception:
logger.exception("myplugin scrape failed (url=%s)", url)
return
now = datetime.now(timezone.utc)
async with app.db_sessionmaker() as session:
async with session.begin():
# Write to plugin's own history table
session.add(MyPluginMetric(
resource_name="my-resource",
scraped_at=now,
my_value=value,
))
# Emit to plugin_metrics so alert rules can fire
await record_metric(
session=session,
source_module="myplugin",
resource_name="my-resource",
metric_name="my_value",
value=value,
)
async def _fetch_value(url: str) -> float:
import httpx
async with httpx.AsyncClient() as client:
resp = await client.get(url)
resp.raise_for_status()
return float(resp.text.strip())
Step 6: Write Routes (if needed)
# plugins/myplugin/routes.py
from quart import Blueprint, current_app, render_template
from steward.auth.middleware import require_role
from steward.models.users import UserRole
from .models import MyPluginMetric
myplugin_bp = Blueprint("myplugin", __name__, template_folder="templates")
@myplugin_bp.get("/")
@require_role(UserRole.viewer)
async def index():
async with current_app.db_sessionmaker() as db:
from sqlalchemy import select
result = await db.execute(
select(MyPluginMetric).order_by(MyPluginMetric.scraped_at.desc()).limit(50)
)
rows = result.scalars().all()
return await render_template("myplugin/index.html", rows=rows)
@myplugin_bp.get("/widget")
@require_role(UserRole.viewer)
async def widget():
"""HTMX fragment for the dashboard widget."""
async with current_app.db_sessionmaker() as db:
from sqlalchemy import select
result = await db.execute(
select(MyPluginMetric).order_by(MyPluginMetric.scraped_at.desc()).limit(1)
)
latest = result.scalar_one_or_none()
return await render_template("myplugin/widget.html", latest=latest)
Step 7: Write Templates
Templates live in plugins/myplugin/templates/myplugin/ (the extra nesting avoids naming collisions with core templates).
{# plugins/myplugin/templates/myplugin/index.html #}
{% extends "base.html" %}
{% block title %}My Plugin — Steward{% endblock %}
{% block content %}
<div class="page-title">My Plugin</div>
{% for row in rows %}
<p>{{ row.resource_name }} — {{ row.my_value }}</p>
{% endfor %}
{% endblock %}
{# plugins/myplugin/templates/myplugin/widget.html — HTMX fragment, no extends #}
{% if latest %}
<div class="ping-row">
<span>{{ latest.resource_name }}</span>
<span>{{ latest.my_value }}</span>
</div>
{% else %}
<p class="empty">No data yet.</p>
{% endif %}
Step 8: Wire Up __init__.py
# plugins/myplugin/__init__.py
from __future__ import annotations
_app = None
def setup(app) -> None:
global _app
_app = app
from .models import MyPluginMetric # noqa: registers model with Base.metadata
def get_scheduled_tasks() -> list:
from .scheduler import make_task
return [make_task(_app)]
def get_blueprint():
from .routes import myplugin_bp
return myplugin_bp
Step 9: Enable the Plugin
Plugin config is stored in the app_settings DB table. The easiest way to enable a plugin is via the Settings UI, or by inserting directly:
INSERT INTO app_settings (key, value_json, updated_at)
VALUES ('plugin.myplugin', '{"enabled": true, "target_url": "http://localhost:9090/metrics"}', now());
On next startup, the plugin will be loaded, its migrations applied, and its blueprint and tasks registered.
Using record_metric()
record_metric() is how plugins feed data into the alert pipeline. Any metric you write here can be the target of an alert rule created in the UI.
from steward.core.alerts import record_metric
# Must be inside an active transaction
async with session.begin():
await record_metric(
session=session,
source_module="myplugin", # matches alert rule source_module
resource_name="my-server", # matches alert rule resource_name
metric_name="response_time_ms", # matches alert rule metric_name
value=42.3,
)
record_metric() writes to plugin_metrics and evaluates all matching alert rules inline. Notifications are deferred outside the transaction. It propagates SQLAlchemyError on DB failure — don't swallow it.
Auth in Routes
Use the @require_role decorator from steward.auth.middleware:
from steward.auth.middleware import require_role
from steward.models.users import UserRole
@myplugin_bp.get("/admin-only")
@require_role(UserRole.admin)
async def admin_page():
...
@myplugin_bp.get("/read-only")
@require_role(UserRole.viewer) # viewer, operator, and admin can all access
async def read_page():
...
Role hierarchy: admin > operator > viewer. Requiring viewer grants access to all three roles.
Agent Tools (MCP)
Steward serves an MCP endpoint at /mcp that AI clients reach with a personal API token created on the AI access page. A plugin adds tools to it by exporting an optional register_mcp_tools(register) from __init__.py:
# plugins/myplugin/__init__.py
def register_mcp_tools(register) -> None:
from .mcp_tools import list_targets, rescan_target
from steward.models.users import UserRole
register(list_targets, role=UserRole.viewer, read_only=True)
register(rescan_target, role=UserRole.operator, read_only=False)
# plugins/myplugin/mcp_tools.py
from steward.mcp._context import current_caller, mcp_app
async def list_targets(limit: int = 50) -> dict:
"""What this tool is for, when to use it over its siblings, what each
argument's empty value means, and what comes back. This docstring is the
tool's description: it is all the agent knows about it."""
app = mcp_app() # Quart's current_app does not exist here
async with app.db_sessionmaker() as db:
...
return {"targets": [...], "total": n, "truncated": n > limit}
roleandread_onlyare required. A tool is listed and callable only for callers whose role reachesrole, and only while the plugin is enabled.- Tools run outside Quart's request pipeline: use
mcp_app()andcurrent_caller()fromsteward.mcp._context, nevercurrent_apporsession. - Refuse by raising
ValueError("what was wrong, and what to do instead"). The agent reads that text. Any other exception reaches it only as a generic failure. - Tool names are global across core and every plugin; a name already taken fails registration and the plugin contributes no tools (logged).
- Hot-reloading the plugin replaces its tools.
- Follow the response conventions the core tools use (
steward/mcp/tools/_shape.py): times viaiso()plusage_s(), lists throughbounded()so a cut is never silent, series throughsummarize(), and lookups by name or id throughpick().
Contributing to get_overview
get_overview is the agent's first call: what is wrong right now, ranked. A plugin adds its own problems to it by exporting an optional mcp_overview(db) that returns findings built with steward.mcp.tools.overview.finding:
# plugins/myplugin/__init__.py
async def mcp_overview(db) -> list[dict]:
from steward.mcp.tools.overview import finding
return [
finding("warning", "target_unreachable", t.name, f"{t.name} has not answered for {t.misses} scans",
since=t.last_ok_at, ids={"target_id": t.id}, next=f'get_target(target="{t.id}")')
for t in await _unreachable_targets(db)
]
severityis"critical"(something is down or about to be) or"warning"(degraded, or heading that way). Report problems only; a healthy plugin returns[].- It is called only while the plugin is enabled, with its own session. If it raises, the overview still returns, and names the plugin under
unavailable.
Publishing to the Catalog
The official plugin catalog is hosted at https://git.fabledsword.com/bvandeusen/Steward-plugins. Anyone can submit a plugin by opening a pull request — first-party and third-party plugins are treated identically by the catalog system.
Repo layout
steward-plugins/
├── index.yaml ← catalog index — the only file Steward fetches
├── myplugin/
│ ├── plugin.yaml
│ ├── __init__.py
│ └── ...
└── .github/
└── workflows/
└── publish.yml ← packages each plugin dir into a zip on release
index.yaml entry
Each plugin needs a corresponding entry in index.yaml. See docs/plugins/index.yaml.example for the full schema. The minimum required fields are:
- name: myplugin
version: "1.0.0"
description: "What this plugin does"
author: "Your Name"
license: "MIT"
min_app_version: "0.1.0"
repository_url: "https://github.com/yourname/yourrepo"
homepage: "https://github.com/yourname/yourrepo/tree/main/myplugin"
download_url: "https://github.com/yourname/yourrepo/releases/download/myplugin-v1.0.0/myplugin.zip"
checksum_sha256: "" # fill in after zipping — see below
tags:
- monitoring
Creating a release zip
The zip must contain the plugin files at the top level OR inside a single directory named after the plugin. Both layouts work:
# Layout A — flat (preferred)
myplugin.zip
├── plugin.yaml
├── __init__.py
└── ...
# Layout B — single top-level directory (also accepted, GitHub archive default)
myplugin.zip
└── myplugin/
├── plugin.yaml
└── ...
Generate the zip and its checksum:
cd steward-plugins
zip -r myplugin.zip myplugin/
sha256sum myplugin.zip # paste this into index.yaml checksum_sha256
Upload myplugin.zip as a GitHub release asset, then update index.yaml with the release download URL and checksum.
How install works
When a user clicks Install in Settings → Plugins:
- The app downloads the zip from
download_url - Verifies the SHA-256 checksum (if provided)
- Extracts the plugin into its
PLUGIN_DIR - Runs any pending Alembic migrations for the plugin
- Attempts a hot-reload — registers the blueprint and scheduled tasks without restarting
- If the plugin was previously loaded (blueprint already mounted), a restart is required to pick up the new code
Hot-reload works reliably for brand-new plugin installs. Updates to already-active plugins require a restart, which can be triggered from the same settings page.
Checklist
plugins/myplugin/directory createdplugin.yamlwith correctname(matches directory),author,license,tags__init__.pyexportssetup()andget_scheduled_tasks()- Models import inside
setup()to register with metadata - Migrations use
depends_onpointing to core head, notdown_revision - Revision IDs prefixed with plugin name
record_metric()called insidesession.begin()- Routes use
@require_roledecorator - MCP tools (if any) registered via
register_mcp_tools(register)with a role andread_only - Templates namespaced under
templates/myplugin/ - Plugin enabled in app settings
index.yamlentry added withdownload_urlandchecksum_sha256