Power Automate Monitoring with FlowStudio MCP

Monitor flow health, track failure rates, and inventory tenant assets through the FlowStudio MCP cached store — fast reads, no PA API rate limits, and enriched with governance metadata and remediation hints.

⚠️ Pro+ subscription required. This skill calls store_* tools that only work for FlowStudio for Teams or MCP Pro+ subscribers.

If the user does not have Pro+ access: the first store_* tool call will return a 403/404 error. When that happens:

1. STOP calling store tools
2. Tell the user this feature requires a Pro+ subscription
3. Link them to https://mcp.flowstudio.app/pricing
4. If their question can be answered with live tools (e.g. "list flows in one environment"), offer to use the power-automate-mcp skill instead

Discovery: load tool schemas via tool_search rather than tools/list — call with query: "select:list_store_flows,get_store_flow_summary" for the common monitoring tools, or load the full set with query: "skill:governance" (the server's governance bundle covers most monitoring reads too — this skill and power-automate-governance share the underlying tool family). This skill covers response shapes, behavioral notes, and workflow patterns — things tool_search cannot tell you. If this document disagrees with a real API response, the API wins.

How Monitoring Works

Flow Studio scans the Power Automate API daily for each subscriber and caches the results. There are two levels:

• All flows get metadata scanned: definition, connections, owners, trigger type, and aggregate run statistics (runPeriodTotal, runPeriodFailRate, etc.). Environments, apps, connections, and makers are also scanned.
• Monitored flows (monitor: true) additionally get per-run detail: individual run records with status, duration, failed action names, and remediation hints. This is what populates get_store_flow_runs and get_store_flow_summary.

Data freshness: Check the scanned field on get_store_flow to see when a flow was last scanned. If stale, the scanning pipeline may not be running.

Enabling monitoring: Set monitor: true via update_store_flow or the Flow Studio for Teams app (how to select flows).

Designating critical flows: Use update_store_flow with critical=true on business-critical flows. This enables the governance skill's notification rule management to auto-configure failure alerts on critical flows.

Tools

For start/stop, use set_live_flow_state from the monitor-flow bundle (tool_search query: "select:set_live_flow_state") — the cache resyncs on the next scan. The previous set_store_flow_state convenience wrapper is deprecated.

Store vs Live

Store tools answer "what happened?" and "how healthy is it?" Live tools answer "what exactly went wrong?" and "fix it now."

If get_store_flow_runs or get_store_flow_summary return empty results, check: (1) is monitor: true on the flow? and (2) is the scanned field recent? Use get_store_flow to verify both.

Response Shapes

list_store_flows

Direct array. Filters: monitor (bool), rule_notify_onfail (bool), rule_notify_onmissingdays (bool).

[
  {
    "id": "Default-<envGuid>.<flowGuid>",
    "displayName": "Stripe subscription updated",
    "state": "Started",
    "triggerType": "Request",
    "triggerUrl": "https://...",
    "tags": ["#operations", "#sensitive"],
    "environmentName": "Default-aaaaaaaa-...",
    "monitor": true,
    "runPeriodFailRate": 0.012,
    "runPeriodTotal": 82,
    "createdTime": "2025-06-24T01:20:53Z",
    "lastModifiedTime": "2025-06-24T03:51:03Z"
  }
]

id format: Default-<envGuid>.<flowGuid>. Split on first . to get environmentName and flowName.

triggerUrl and tags are optional. Some entries are sparse (just id + monitor) — skip entries without displayName.

Tags on list_store_flows are auto-extracted from the flow's description field (maker hashtags like #operations). Tags written via update_store_flow(tags=...) are stored separately and only visible on get_store_flow — they do NOT appear in the list response.

get_store_flow

Full cached record. Key fields:

Duration fields (runPeriodDurationAverage, Max, Min) are in milliseconds. Divide by 1000 for seconds.

runError contains the last run error as a JSON string. Parse it: json.loads(record["runError"]) — returns {} when no error.

get_store_flow_summary

Aggregated stats over a time window (default: last 7 days).

{
  "flowKey": "Default-<envGuid>.<flowGuid>",
  "windowStart": null,
  "windowEnd": null,
  "totalRuns": 82,
  "successRuns": 81,
  "failRuns": 1,
  "successRate": 0.988,
  "failRate": 0.012,
  "averageDurationSeconds": 2.877,
  "maxDurationSeconds": 9.433,
  "firstFailRunRemediation": null,
  "firstFailRunUrl": null
}

Returns all zeros when no run data exists for this flow in the window. Use startTime and endTime (ISO 8601) parameters to change the window.

get_store_flow_runs

Direct array of cached run records. Parameters: startTime, endTime, status (array — pass ["Failed"] for an errors-only view, ["Succeeded"], or omit for all).

Returns [] when no run data exists in the window.

Trigger URL

Read the triggerUrl field directly from get_store_flow (cached) or get_live_flow (live). It is null for non-HTTP triggers.

Starting / stopping a flow

Use set_live_flow_state from the monitor-flow server bundle. The cache catches up on the next daily scan; if you need cache freshness sooner, call get_live_flow after the state change to confirm and let the next scan sync.

update_store_flow

Updates governance metadata. Only provided fields are updated (merge). Returns the full updated record (same shape as get_store_flow).

Settable fields: monitor (bool), rule_notify_onfail (bool), rule_notify_onmissingdays (number, 0=disabled), rule_notify_email (comma-separated), description, tags, businessImpact, businessJustification, businessValue, ownerTeam, ownerBusinessUnit, supportGroup, supportEmail, critical (bool), tier, security.

list_store_environments

Direct array.

[
  {
    "id": "Default-aaaaaaaa-...",
    "displayName": "Flow Studio (default)",
    "sku": "Default",
    "type": "NotSpecified",
    "location": "australia",
    "isDefault": true,
    "isAdmin": true,
    "isManagedEnvironment": false,
    "createdTime": "2017-01-18T01:06:46Z"
  }
]

sku values: Default, Production, Developer, Sandbox, Teams.

list_store_connections

Direct array. Can be very large (1500+ items).

[
  {
    "id": "<environmentId>.<connectionId>",
    "displayName": "user@contoso.com",
    "createdBy": "{\"id\":\"...\",\"displayName\":\"...\",\"email\":\"...\"}",
    "environmentName": "...",
    "statuses": "[{\"status\":\"Connected\"}]"
  }
]

createdBy and statuses are JSON strings — parse with json.loads().

list_store_makers

Direct array.

[
  {
    "id": "09dbe02f-...",
    "displayName": "Sample Maker",
    "mail": "maker@contoso.com",
    "deleted": false,
    "ownerFlowCount": 199,
    "ownerAppCount": 209,
    "userIsServicePrinciple": false
  }
]

Deleted makers have deleted: true and no displayName/mail fields.

get_store_maker

Full maker record. Key fields: displayName, mail, userPrincipalName, ownerFlowCount, ownerAppCount, accountEnabled, deleted, country, firstFlow, firstFlowCreatedTime, lastFlowCreatedTime, firstPowerApp, lastPowerAppCreatedTime, licenses (JSON string of M365 SKUs).

list_store_power_apps

Direct array.

[
  {
    "id": "<environmentId>.<appId>",
    "displayName": "My App",
    "environmentName": "...",
    "ownerId": "09dbe02f-...",
    "ownerName": "Catherine Han",
    "appType": "Canvas",
    "sharedUsersCount": 0,
    "createdTime": "2023-08-18T01:06:22Z",
    "lastModifiedTime": "2023-08-18T01:06:22Z",
    "lastPublishTime": "2023-08-18T01:06:22Z"
  }
]

Common Workflows

Find unhealthy flows

1. list_store_flows
2. Filter where runPeriodFailRate > 0.1 and runPeriodTotal >= 5
3. Sort by runPeriodFailRate descending
4. For each: get_store_flow for full detail

Check a specific flow's health

1. get_store_flow → check scanned (freshness), runPeriodFailRate, runPeriodTotal
2. get_store_flow_summary → aggregated stats with optional time window
3. get_store_flow_runs(status=["Failed"]) → per-run failure detail with remediation hints
4. If deeper diagnosis needed → switch to live tools:
   get_live_flow_runs → get_live_flow_run_action_outputs

Enable monitoring on a flow

1. update_store_flow with monitor=true
2. Optionally set rule_notify_onfail=true, rule_notify_email="user@domain.com"
3. Run data will appear after the next daily scan

Daily health check

1. list_store_flows
2. Flag flows with runPeriodFailRate > 0.2 and runPeriodTotal >= 3
3. Flag monitored flows with state="Stopped" (may indicate auto-suspension)
4. For critical failures → get_store_flow_runs(status=["Failed"]) for remediation hints

Maker audit

1. list_store_makers
2. Identify deleted accounts still owning flows (deleted=true, ownerFlowCount > 0)
3. get_store_maker for full detail on specific users

Inventory

1. list_store_environments → environment count, SKUs, locations
2. list_store_flows → flow count by state, trigger type, fail rate
3. list_store_power_apps → app count, owners, sharing
4. list_store_connections → connection count per environment

Related Skills

• power-automate-mcp — Foundation skill: connection setup, MCP helper, tool discovery
• power-automate-debug — Deep diagnosis with action-level inputs/outputs (live API)
• power-automate-build — Build and deploy flow definitions
• power-automate-governance — Governance metadata, tagging, notification rules, CoE patterns