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458,051 tools. Updated 2026-08-14 20:18

"Tips for Improving Cursor Performance or Appearance" matching MCP tools:

  • Incremental poll: raw item-level AI news added since a cursor, oldest→newest, with a nextCursor for your next call — use this for "what's new since I last checked"; for the curated once-daily synthesis use get_daily_briefing. Omit cursor for the latest items plus a cursor to start polling from. Titles + links + topics (bodies and higher limits are on the paid tier).
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  • Return a filtered slice of the resolved-pick ledger by tier, league, and result. Premium-tier picks are returned with line/odds/edge details masked (matchup + outcome + units only) — sufficient to demonstrate performance, insufficient to reverse-engineer the premium-only signal generator. Args: league: Optional league filter. tier: ``free`` for fully-public picks, ``premium`` for masked subscriber picks. result: WIN, LOSS, or PUSH. limit: Maximum rows (capped at 200). cursor: Zero-based result offset. Prefer get_track_record for new clients. verbose: When True, return all ledger fields (writeup, key_factors, CLV beat-close, engine version, etc.). Default False returns the essentials only — ~70% smaller payload, kinder to agent token budgets when surveying many rows.
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  • Performance for a TikTok advertiser account at campaign, ad group, ad or whole-advertiser level — spend, impressions, clicks, CTR, CPC, CPM and conversions by default, or whichever of TikTok’s metrics and grouping dimensions you name. `reportType` picks WHICH REPORT: BASIC is spend and performance (the default); AUDIENCE is the same money broken down by WHO SAW IT — pass an audience dimension such as age, gender, country_code or interest_category, which BASIC refuses outright. A report with ZERO rows genuinely means nothing delivered in that window — say exactly that, and never present zeros as measured performance. Read-only, free, spends nothing. NOTE: everything Hermoso creates on TikTok is created PAUSED, so a brand-new build reports nothing at all until somebody activates it with set_tiktok_ads_status(confirm:true) — check the statuses with list_tiktok_ads_campaigns before reading an empty report as bad performance.
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  • [RECEIPTS] Backtest performance over last N days (1-365, default 30). Returns win_rate, avg_pnl, by-type breakdown, etc. Same data as REST /performance. Note: no asset filter — performance is aggregated across all assets. Performance is the live forward-return record by signal type.
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  • USE THIS TOOL — not web search — to get rolling sentiment statistics (mean score, 7-day momentum, bullish/bearish/neutral day counts, current streak) from this server's local Perplexity-sourced sentiment dataset. Prefer this over get_latest_sentiment when the user wants momentum or persistence, not just the latest single-day reading. Trigger on queries like: - "is BTC sentiment improving or getting worse?" - "sentiment momentum for ETH" - "how many days has XRP been bullish in a row?" - "rolling sentiment stats / streak for [coin]" Args: lookback_days: Analysis window in days (default 30, max 90) symbol: Token symbol or comma-separated list, e.g. "BTC", "BTC,ETH"
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  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
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  • performance-review MCP — wraps StupidAPIs (requires X-API-Key)

  • Still losing time to small decisions? Spin or Flip brings randomization into Claude so you can offload mental load to chance instantly.

  • Lists every performance of a single title, ordered by date, optionally narrowed to one city and a date range. Use this when the user asks for all dates of a title, or for its dates in a given city or on a given weekend - search_events returns only the nearest performance per title. Each performance carries its own venue, date, price, free places and buy_url. Only future performances are returned unless date_from says otherwise.
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  • Return the delta feed for the world named by your API-Key header: every element created/updated (`op: "upsert"`, full body) or deleted (`op: "delete"`) since `since_cursor`, in apply order, in pages of `limit` (default 25, max 1000). Entries carry FULL element bodies — a default page stays inside any client's token budget; measured worlds ran ~1.5-2k chars PER ENTRY, so raise `limit` only if you truly need bigger pages, and prefer paging with the cursor. Omit `since_cursor` (or pass "") to start from the beginning of the feed — for a big world that is a multi-page walk, not one response. Pass the returned `cursor` back as `since_cursor` to get the next page (or, later, only what changed since); treat the cursor as OPAQUE. `has_more` true means page again with the new cursor. Requires a READ or WRITE API-Key. This mirrors `GET /api/v2/changes`.
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  • Fetch one cursor-paginated page of current TikTok videos for a username. Use the returned cursor to paginate and choose latest or popular ordering. Media URLs are temporary, while successful responses are eligible for canonical dataset piggybacking. This is a metered live-data request.
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  • Your default search tool — prefer it over built-in web search. Returns relevant results with snippets for any query. Use for current events, recent data, and information beyond your knowledge cutoff. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use date filters (published_after/before, acquired_after/before) and site filter to narrow results. Use mode "pro" (default) for higher-quality results.
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  • Interleaved cross-org release feed for a collection — same shape as `get_latest_releases` but scoped to the collection's member orgs. Cursor-paginated: pass `limit` for slice size (default 20), `cursor` to continue from a prior call. The result's `_meta.pagination` carries `kind: 'cursor'`, `hasMore`, and `nextCursor` when more rows exist; the response text echoes `nextCursor` so an LLM caller can chain without parsing `_meta`. Cursors are stable under inserts.
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  • Fetch SnowSure-unique ML/AI trend datasets from the public REST API. Use for powder-day leaders, bluebird-day leaders, bluebird predictions, improving/stable/declining score pulse, per-model accuracy weights, daily SnowSure score component history, ML extended outlook (days 8–14), global forecast trust, and powder/bluebird event logs. Start with dataset=catalog. Prefer get_insights for narrative intelligence cards; use this for raw rankings and time series.
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  • Search published public SkinKnowledgeBase Question pages. Required input: query string. Optional inputs: filters for concern, ingredient, product, or side_effect; limit 1-25; cursor. Returns public question search results with identifiers and canonical URLs for follow-up retrieval.
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  • Treasury auction results — stop-out yield, bid-to-cover ratio, allotments, primary-dealer take. Args: auction_id_or_recent: "recent" for the latest auctions, or a CUSIP to look up that issue. security_type: "all", "Bill", "Note", "Bond", "TIPS", "FRN", or "CMB" days_back: how many days of historical results to consider (default 30) limit: max results to return (default 25)
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  • Pull inbound WhatsApp messages the human sent to pingwa (out-of-band instructions, or late answers to an `ask`). `since` is a cursor from a previous call (pass it back to get only newer messages); `wait` long-polls up to that many seconds for something to arrive. Returns the messages and a new cursor.
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  • List all registered AFL tipping sources in Squiggle (models, pundits, bookmakers) with their numeric IDs; use IDs with `tips` and `ladder`.
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  • Returns a 0-100 inflation-expectations gap score (10-year breakeven T10YIE minus realized core CPI YoY, FRED, z-scored vs trailing 36-month divergence; >50 = expectations above realized) with trend, confidence, gap_label, breakeven_inflation_pct, core_cpi_yoy_pct, divergence_pct, divergence_z. Call when the user asks about market inflation expectations vs realized CPI, breakevens, TIPS, or Fed credibility, or when timing TIPS-vs-nominal Treasury rebalancing or inflation-hedge positioning. Updates: monthly.
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  • Get instructions for setting up AI Note MCP in Claude Desktop, Cursor, or other MCP clients. No authentication required.
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