"Sort servers by usage in the last 30 days" matching MCP tools:

• get_analyticsA

  SimpleDockA

  Per-location appointment summary (counts by status and type) over a date range, for reporting questions like "how many no-shows last month". Use list_appointments for the appointments themselves. Defaults to the last 30 days; the range may not exceed 366 days. Pro plan only (otherwise payment_required). Requires scope analytics:read (Admin role).

  ConnectorAPI key

• get_analyticsA

  SimpleDockA

  Per-location appointment summary (counts by status and type) over a date range, for reporting questions like "how many no-shows last month". Use list_appointments for the appointments themselves. Defaults to the last 30 days; the range may not exceed 366 days. Pro plan only (otherwise payment_required). Requires scope analytics:read (Admin role).

  ConnectorOAuth

• catalog_top_subredditsA

  Prowlo — Reddit & X for AI agentsA

  Ranked lists from Prowlo's tracked catalog — NOT a live Reddit call. metric: largest (subscribers), most-active (posts/day sampled from each sub's own /new feed within the last 14 days; unsampled subs sort last), fastest-growing (30-day % — needs ≥30 days of snapshot history; until enough exists the response is available:false with trackingSince — a SUCCESS shape, don't retry; size=all applies a 10,000-member floor and every band requires ≥50 members gained, so tiny denominators can't top the list). Optional size band filters by subscriber count. Cached ~5 min. Free, NOT metered. Good for browsing a category cold or benchmarking a candidate's growth30d against the field; vet picks with catalog_get_subreddit, then watcher_create. (requires a Prowlo account; returns a signup link when called without one)

  ConnectorOAuth

• agents_traces_statsA

  DialogBrainB

  Aggregated trace statistics for one agent over the last N days — total runs, success rate, avg duration, error breakdown, top tools used, runs-per-day histogram, and what the agent spent. `spend` totals the agent's LLM usage over the same window: `llm_calls`, `tokens_input`, `tokens_output`, `cost_usd`, and `own_key_cost_usd` (the slice paid with the workspace's own vendor key, included in cost_usd rather than added to it). It covers usage recorded since per-agent attribution shipped, so it reads 0 for older runs; null means the lookup could not run. Use this when you want a bird's-eye view of an agent's health before diving into individual traces with `agents.traces_list` / `agents.trace_get`. Scoped to the target agent (exact match, no substring bleed). `days` is capped at 30 — matches the ClickHouse request_traces TTL.

  ConnectorAPI key

• agents_traces_statsA

  dialogbrainB

  Aggregated trace statistics for one agent over the last N days — total runs, success rate, avg duration, error breakdown, top tools used, runs-per-day histogram, and what the agent spent. `spend` totals the agent's LLM usage over the same window: `llm_calls`, `tokens_input`, `tokens_output`, `cost_usd`, and `own_key_cost_usd` (the slice paid with the workspace's own vendor key, included in cost_usd rather than added to it). It covers usage recorded since per-agent attribution shipped, so it reads 0 for older runs; null means the lookup could not run. Use this when you want a bird's-eye view of an agent's health before diving into individual traces with `agents.traces_list` / `agents.trace_get`. Scoped to the target agent (exact match, no substring bleed). `days` is capped at 30 — matches the ClickHouse request_traces TTL.

  ConnectorAPI key

• agents_traces_statsA

  dialogbrainB

  Aggregated trace statistics for one agent over the last N days — total runs, success rate, avg duration, error breakdown, top tools used, runs-per-day histogram, and what the agent spent. `spend` totals the agent's LLM usage over the same window: `llm_calls`, `tokens_input`, `tokens_output`, `cost_usd`, and `own_key_cost_usd` (the slice paid with the workspace's own vendor key, included in cost_usd rather than added to it). It covers usage recorded since per-agent attribution shipped, so it reads 0 for older runs; null means the lookup could not run. Use this when you want a bird's-eye view of an agent's health before diving into individual traces with `agents.traces_list` / `agents.trace_get`. Scoped to the target agent (exact match, no substring bleed). `days` is capped at 30 — matches the ClickHouse request_traces TTL.

  ConnectorAPI key

• get_reportA

  Przypominamy.com SMSA

  Delivery report Aggregate sends by day or month: counts, parts, cost, delivered vs failed. Default last 30 days, max 366. Use for analytics, not live status (get_message).

  ConnectorNo auth

• alphai_insider_clustersA

  AlphAIA

  Find issuers where several different insiders bought on the open market in one run of purchases (SEC Form 4, purchase dates chained while at most 10 days apart, an episode capped at 30 days). Every purchase is examined before a buyer counts: an IPO or PIPE allocation — by its price shape or by the filing's own footnote saying the shares came from the issuer, an offering or a negotiated block (buyer reason: placement, offering, private) — ESPP / DRIP / director-plan lots, units and note exchanges without a price, and the same transaction reported through two owners are labeled per buyer (role: independent, plan_like, unpriced, duplicate_of) and hidden from the default open_market list; ask pattern=plan_or_offering, holders_only or all to see them. buyers counts independent buyers, buyers_total everyone who bought. days is measured on known_at, the moment the episode's latest filing reached EDGAR, so 'what became known this month' is one call; a Free account reaches 30 days, Basic and Pro 90. Sort recent (default, newest known first), buyers or value; follow next_cursor with the same sort. Each result links every filing (accession number, EDGAR URL) and the news uids to open with alphai_article. Descriptive screen, not point-in-time and not a return forecast; coverage starts at meta.coverage_since (the table begins in August 2025).

  ConnectorAPI key

• get_insider_listsA

  LivermoreA

  Ready-made insider trading screens, the same lists as livermore.club/en/insiders: cluster-buys (companies where 3 or more different insiders bought on the open market in the last 30 days, ranked by total value; returned in `companies`), ceo-cfo-buys (CEO or CFO open-market purchases of $25,000 or more in 30 days, newest first), top-buys-week and top-buys-month (largest open-market purchases filed in the last 7 or 30 days), top-sells-week and top-sells-month (largest open-market sales). Windows count back from now by SEC filing time. Non-derivative transactions only; rows flagged as price outliers, duplicate filings (the same trade reported again in a later filing) and issuers without a ticker are excluded. Trade rows have the same fields as get_insider_trades. Amounts in USD. At most 200 rows.

  ConnectorNo auth

• get_insider_listsA

  StockfactsA

  Ready-made insider trading screens, the same lists as livermore.club/en/insiders: cluster-buys (companies where 3 or more different insiders bought on the open market in the last 30 days, ranked by total value; returned in `companies`), ceo-cfo-buys (CEO or CFO open-market purchases of $25,000 or more in 30 days, newest first), top-buys-week and top-buys-month (largest open-market purchases filed in the last 7 or 30 days), top-sells-week and top-sells-month (largest open-market sales). Windows count back from now by SEC filing time. Non-derivative transactions only; rows flagged as price outliers, duplicate filings (the same trade reported again in a later filing) and issuers without a ticker are excluded. Trade rows have the same fields as get_insider_trades. Amounts in USD. At most 200 rows.

  ConnectorOAuth

• search_jobsA

  MatchAwardsA

  Use this when the user is looking for a job, or for hiring signals, among postings from the last 30 days. Filters: naics (up to 10 codes), state, keyword (title only), posted_within_days (posted within the last 1 to 30 days, default 30), limit (1 to 50, default 20). Rows carry title, agency (the employer), state, city, posted_at and url. If has_more is true, call again with cursor=next_cursor and the same filters. Example: keyword="electrician", state="TX". Pass several NAICS codes in one call. Print each result's url as a markdown link. Do not use for contracts (search_contracts) or grants (search_grants).

  ConnectorNo auth

• google_ads_changesA

  Google AdsB

  Change history / audit log: who changed what in the account and when. Covers campaigns, ad groups, ads (headlines/descriptions/final URLs), keywords, budgets and bids, with the user_email who made each change, the client (web UI / API / bulk upload), the operation (CREATE/UPDATE/REMOVE), the changed field mask and the old→new resource. Backed by Google Ads change_event (last 30 days only, per customer). Pass `since`/`until` (YYYY-MM-DD or "YYYY-MM-DD HH:MM:SS") or `days`; for incremental polling pass `since` = the last seen change timestamp. Bulk support: accepts customer_ids for batched execution.

  ConnectorNo auth

• list_emailsA

  stubB

  List emails the business has sent, newest first, with their delivery state and times. Covers the last 30 days unless `days`/`from-date` say otherwise. Filter by status, kind or related entity, and page with `cursor`.

  ConnectorOAuth

• restore_taskA

  WeftA

  Use this when the user wants to recover a task they deleted in the last 30 days (e.g. 'undo that delete', 'restore the task I just removed'). Takes the task id — pass the id returned by trash_task.

  ConnectorOAuth

• get_keyword_rankingsA

  BlogSEOA

  Rank tracking from Google Search Console for the website's tracked keywords, refreshed at each sync (see gsc_last_synced_at): per keyword the current average position, ranking page, clicks, impressions, ctr, snapshot country and last sync time. Pass keyword_ids (max 50) or get the top keywords (default and max 50). position_min and position_max bound the position and exclude unranked keywords, min_impressions drops low-visibility ones, and sort orders by position (default, unranked last), impressions or clicks. Page-2 quick wins: position_min 5, position_max 15, min_impressions 200, sort impressions. position_30d_ago is included when history exists around 30 days ago for the snapshot country, or the country you pass (lowercase alpha-3 like usa, or wwd). For changes between periods use get_keyword_trends. Says so when Search Console is not connected. Pass website_id when the account has several websites (see get_account).

  ConnectorOAuth

• get_management_key_activityA

  past.devA

  What the organization's management key called in the last 30 days: each route with its method, call count and last call, busiest first; a route nobody called is absent. Mirrors Settings › Management key › Recent activity; needs Owner or Admin.

  ConnectorOAuth

• get_analyticsA

  Multi Upload ToolA

  Read published-post performance: views, likes, comments, shares, plus growth over the last 30 days. summary compares the last 30 days with the 30 before (views gained, follower change, posts published; null = not measured, never 0) and followerHistory gives one follower total per day. Call with no argument for every account at once, with accountId for one account, or with postId for a single post. Numbers come from a nightly sync, so they lag the platform by up to a day — lastRefreshedAt says when they were last measured, and a metric a platform does not report comes back as 0. Account and global calls also return bestTimes: the weekday and hours whose posts averaged the most views, to feed scheduledAt in create_post. This is read-only; it never publishes.

  ConnectorOAuth

• get_ad_groupsA

  ADM Google AdsA

  Lists ad groups (including PAUSED, never REMOVED): id, name, status, campaign name and status, max_cpc, the campaign's bidding_strategy_type, keyword_count and ad_count. Optionally limit to one campaign, or to status ENABLED or PAUSED. Sorted by campaign then ad group. Paginated via cursor. Pass days (1 to 30) to add performance for the last N complete days to each ad group (impressions, clicks, cost, conversions, conversions_value, ctr, average_cpc) and sort by cost descending. Use this instead of get_campaign_setup when you only need ad group status across many campaigns.

  ConnectorAPI key

• get_salesA

  NuiraA

  NUIRA ATTRIBUTION (not the platforms' figures): sales performance over the last 30 days broken down by campaign and by channel, with each sale's position-based credit split (Nuira's model: 30% first paid touch, 40% last, 30% across the middle), how many sales had more than one paid touch, and how that model compares with last-touch attribution. Use for questions about campaigns, attribution, or which channel really earned a sale. For what the catalogue itself sold, use get_top_products or get_product_performance instead.

  ConnectorAPI key

• catalog_highlightsA

  CarRentalListA

  Show what is interesting in the exotic rental catalog right now, nationwide or in a state or city: cars newly listed in the last 30 days, recent daily price drops or rises (old and new price, date), the rarest model families (offered by at most two companies in the US), the most expensive cars, the biggest fleets and the most reviewed companies. Use this when someone asks "what's new", "what got cheaper", "what's the rarest car I can rent" or "who has the biggest fleet in Miami" questions, and for news-style summaries. Only published daily rates are used. A price change pairs a car's two latest rates, both recorded in the last 30 days, and counts only when both are plausible daily rates and the new one is still live. New arrivals leave out cars re-listed by a rescrape and bulk imports. Unknown places return did_you_mean.

  ConnectorNo auth

• get_scoreA

  PeakCam SnowA

  PeakCam's 0–100 Snow Score for one resort, scored once a day by a fixed formula (scoredBy is always `algorithmic`): `today` carries the score, its four-tier rating (great ≥ 75, good ≥ 55, fair ≥ 35, else poor; the same words as the conditions rating), a dated tagline to quote and five components, each with points, max, a one-line basis and its source: depth vs the station's 1991–2020 normal (30), new snow over the last 7 days (25), the blended 7-day forecast (20), snow quality from days since snow, the 3-day high and the surface tags (15), and the operating status (10). `history` is one point per scored day over the last 30 days. Use it for "how good is X right now and why", "score X out of 100", "is X better than last week"; for a ranking use find_powder, compare_resorts or /api/v1/snow-report?sort=score. `available: false` before the first scoring run.

  ConnectorNo auth