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.

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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.

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Tools#

ToolPurposelist_store_flowsList flows with failure rates and monitoring filtersget_store_flowFull cached record: run stats, owners, tier, connections, definition ( triggerUrl field included)get_store_flow_summaryAggregated run stats: success/fail rate, avg/max durationget_store_flow_runsPer-run history with duration, status, failed actions, remediation (filter status="Failed" for errors-only view)update_store_flowSet monitor flag, notification rules, tags, governance metadatalist_store_environmentsAll Power Platform environmentslist_store_connectionsAll connectionslist_store_makersAll makers (citizen developers)get_store_makerMaker detail: flow/app counts, licenses, account statuslist_store_power_appsAll Power Apps canvas apps

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.

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Store vs Live#

QuestionUse StoreUse LiveHow many flows are failing?list_store_flows—What's the fail rate over 30 days?get_store_flow_summary—Show error history for a flowget_store_flow_runs (filter status="Failed")—Who built this flow?get_store_flow → parse owners—Read the full flow definitionget_store_flow has it (JSON string)get_live_flow (structured)Inspect action inputs/outputs from a run—get_live_flow_run_action_outputsResubmit a failed run—resubmit_live_flow_run

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.

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Response Shapes#

list_store_flows#

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

json

[
  {
    "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:

CategoryFieldsIdentityname, displayName, environmentName, state, triggerType, triggerKind, tier, sharingTypeRun statsrunPeriodTotal, runPeriodFails, runPeriodSuccess, runPeriodFailRate, runPeriodSuccessRate, runPeriodDurationAverage/ Max/ Min (milliseconds), runTotal, runFails, runFirst, runLast, runTodayGovernancemonitor (bool), rule_notify_onfail (bool), rule_notify_onmissingdays (number), rule_notify_email (string), log_notify_onfail (ISO), description, tagsFreshnessscanned (ISO), nextScan (ISO)Lifecycledeleted (bool), deletedTime (ISO)JSON stringsactions, connections, owners, complexity, definition, createdBy, security, triggers, referencedResources, runError — all require json.loads() to parse

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).

json

{
  "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.

json

[
  {
    "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).

json

[
  {
    "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.

json

[
  {
    "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.

json

[
  {
    "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"
  }
]

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Common Workflows#

Find unhealthy flows#

text

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#

text

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#

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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#

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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#

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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#

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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

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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