Plutus
Monitor cloud and SaaS spending across 25+ providers with cost tracking, budgets, and anomaly detection.
Connects to AWS, GCP, Azure, Anthropic, OpenAI and other cloud providers to track spend, set budgets, detect cost anomalies, view savings recommendations, and analyze unit economics. Helps teams understand where money goes and optimize cloud costs.
Try asking Muse: "Show me which services are driving the biggest cost increases this month and flag any unusual spending patterns."
Source: Found in the official MCP Registry (com.plutus-cloud/plutus-cost-data) · First listed September 24, 2026
Last 24 hours
Each bar is one check, every 15 minutes. Green means it answered. Last checked 22 min ago.
Is it safe to connect?
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
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How to add it to Muse
Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://console.plutus-cloud.com/api/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Technical details: safety screening, tools, response time and recent checks
Response time at the last check: 634ms. Worked in 100% of checks over 30 days.
Screening · September 24, 2026
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
Tools · 31
list_cost_sourcesList the cost-source providers (AWS, GCP, Anthropic, etc.) enabled for this account. Each row's cost_basis says where that provider's money figures come from: "invoiced" = amounts the provider actually charged; "estimated_from_provider_rates" = an estimate built from the providerquery_costsQuery time-bucketed spend for this account, optionally broken down by a dimension (service, region, linked_account, usage_type, operation, or identity) or by a custom cost-allocation tag (see list_cost_tags), and filtered by dimension values. `identity` is per-actor spend (e.g. alist_savings_recommendationsList active cost-reduction recommendations for this account — sourced from each provider's own already-computed engine (AWS Cost Explorer, Azure Advisor, GCP Recommender), not something Plutus computes itself. `type` is one of: `terminate` (an idle resource to shut down), `modifylist_commitment_utilizationList Reservation (RI) and Savings Plan utilization/coverage snapshots for this account — sourced from AWS Cost Explorer's own GetReservationUtilization/GetSavingsPlansUtilization APIs, one snapshot per commitment type per month. Shows how much of a purchased commitment is actualllist_commitment_expirationsList this account's Reserved Instance / Savings Plan / Azure Reservation commitments with their expiration dates, ordered soonest-first. `days_until_expiration` is computed server-side against the current UTC date (negative means already expired — rows are not pruned immediately list_cost_tagsList the virtual cost-allocation tag_keys defined for this account (e.g. "team", "product"), each with the cost_entries grain it's locked to and how many rules map dimension values to a tag_value. Use a tag_key with query_costs (breakdown_by: "tag") to see spend broken down by itlist_anomaliesList detected cost anomalies for this account over a trailing lookback window — the real output of Plutus's nightly anomaly detector (severity, baseline vs. current spend, and what drove a tag-level spike), not something recomputed here from raw spend. Prefer this over eyeballingexplain_cost_changeExplain a specific cost change: which timeline events line up with it, how strongly, and how much of the move Plutus could account for. Ask this about any point on a cost chart — it is not limited to anomalies the detector flagged (use list_anomalies for those; each already carrilist_anomaly_suppressionsList this account's active anomaly suppressions — signatures (a provider+service pair, or a tag_key+tag_value) a human has marked as expected, so the detector stops surfacing them. Each has an `expires_at` (null = indefinite). Mirrors GET /api/accounts/:accountId/anomaly-suppresslist_tag_recommendationsList suggested cost-allocation tag rules this account doesn't have yet — high-spend values currently falling through to "Untagged" for an existing tag_key, or a provider-native tag worth promoting into a virtual tag_key of its own (see list_cost_tags). Each recommendation carrieslist_data_healthList sync health for every cost/event/usage connection this account has — last synced time, next scheduled sync, the outcome of its most recent run, and `is_overdue` (no successful sync within twice the connection's own effective sync interval). `status` is only ever set on a suclist_scheduled_reportsList this account's scheduled cost digests — cadence, scope (whole account, one cost source, or one cost-allocation tag value), destination alert channel, and when the next one is due. `next_period_label` names the concrete date range the next digest will cover. Mirrors GET /api/list_dashboard_widget_catalogList the built-in ("preset") dashboard widgets available to place with create_dashboard/set_dashboard_widgets — small `kpi` stat tiles and larger `widget` data cards, each with the id (`catalog_id`) a {"kind": "preset", "catalog_id": "..."} widget spec references. There is no prelist_dashboardsList this account's org-shared dashboards — visible to every account member. Does not include any member's PERSONAL dashboard: those live in one specific signed-in user's own browser session and have no id an account-level MCP key can address. Use a returned `id` with get_dashboaget_dashboardFetch one org-shared dashboard's full layout — its placed widgets, custom metrics and custom charts, and their grid positions. A `widgets` entry references a preset catalog_id (see list_dashboard_widget_catalog); `customMetrics`/`customCharts` carry their own full config inline. list_unit_metricsList this account's saved unit-economics metrics — each one a cost ÷ business-unit ratio such as "cost per 1k API requests" or "infra cost per order". `numerator_scope` says which slice of spend is on top (the whole account, one cost source, or one cost-allocation tag_value — seequery_unit_costsCompute one of this account's saved unit-economics metrics (see list_unit_metrics) over a date range — the cost of a slice of spend divided by the business units it produced. Each row carries `cost` (the numerator, in the USD base like every other figure this server returns), `ququery_usageQuery time-bucketed usage telemetry this account's own backend has pushed or synced in (e.g. API request counts, tokens processed) — the raw data unit-economics metrics divide cost by (see list_unit_metrics/query_unit_costs), inspected directly rather than through a pre-defined rlist_usage_dimensionsList the distinct values seen for a usage dimension ("metric" or "external_customer_id") over a date range — useful for discovering filter values before calling query_usage. Each entry pairs the raw `value` with a `label` (for external_customer_id, the customer's name from accounquery_eventsQuery this account's business-event timeline (GitHub releases/PRs, PagerDuty incidents, Jira issues, GitLab, Salesforce onboarding/churn, Stripe subscription created/canceled, Vercel production deploys, Linear issue creation, Sentry newly reported errors) — the same events overlalist_event_facetsList the distinct values seen for a faceted event metadata field over a date range — currently just "repo" (every GitHub repo with at least one event), the same facet the Event Explorer's repo picker uses. Useful for discovering query_events' meta_repo filter values before callinlist_cost_tag_rulesList the actual match rules for one of this account's cost-allocation tag_keys (see list_cost_tags) — which dimension values (or provider-native tag) map to which tag_value, and in what priority order. Rules are evaluated in ascending priority and the first match wins; spend matclist_cost_source_tag_keysList distinct provider-native tag/label keys actually present in this account's cost data (AWS Cost Allocation Tags, GCP/Hetzner labels, Azure tags) — useful for discovering what a "tags.<key>" cost-tag-rule match could reference before creating one. Only ever populated on grain=list_cost_source_tag_valuesList distinct values seen for one provider-native tag/label key (see list_cost_source_tag_keys) in this account's cost data.list_teamsList this account's teams (user groups) with their members and the cost-tag tag_value each is reserved under — team-scoped budgets (create_budget with scope_type: "team") reference a team's id as scope_ref. Mirrors GET /api/accounts/:accountId/teams.list_budgetsList this account's spend budgets with their current-cycle status (spend so far, projected total, ok/warning/exceeded state, and forecast state). Mirrors GET /api/accounts/:accountId/budgets. A budget carries its own `currency` (budgets are NOT converted to the USD base the cost list_alert_channelsList this account's alert notification channels (Slack/Teams/webhook/email) — need a channel's id to call create_alert_subscription. Never returns the channel's credentials/URL, only its id/type/name/enabled state.list_alert_subscriptionsList which alert channels are subscribed to which trigger (a specific budget's spend_threshold, or account-wide event_overage/cost_anomaly). Mirrors GET /api/accounts/:accountId/alert-subscriptions.list_alert_deliveriesList recent alert delivery history for this account (did an alert actually fire, and did it send successfully) — the same data behind the Alerts page's delivery heatmap. Does not include the delivery error text. Mirrors GET /api/accounts/:accountId/alert-deliveries.list_dimensionsList the distinct values seen for a given dimension (service, region, linked_account, usage_type, or operation) for one provider — useful for discovering filter values before calling query_costs.get_cost_entriesFetch raw per-service cost entries for this account over a date range (unaggregated). Prefer query_costs for time-bucketed/aggregated spend — this is for inspecting individual rows. Each row's `cost` is in USD (see the response's top-level `currency` field), like every other figuRecent checks
Link
https://console.plutus-cloud.com/api/mcpQuestions about Plutus in Muse
How do I connect Plutus to Muse?
Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Plutus to help me. It is a free service with an MCP server at https://console.plutus-cloud.com/api/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
Is Plutus working right now?
At the last check (September 28, 2026, 08:46 UTC) the endpoint was working, answering in 634ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
Is Plutus safe to connect to Muse?
It was screened on September 24, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
What can Plutus do in Muse?
It exposes 31 tools, including list_cost_sources, query_costs, list_savings_recommendations, list_commitment_utilization. For example, you could ask Muse: "Show me which services are driving the biggest cost increases this month and flag any unusual spending patterns."
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