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400,932 tools. Last updated 2026-08-06 10:36

"Toggl Track" matching MCP tools:

  • Stitches video clips + voiceover narration into a single MP4 published to Spaces. Each segment is one of: (a) videoUrl + narrationText (voiceover replaces video's audio track), (b) narrationText only (generates a brand-color title card sized to narration length), (c) videoUrl + audioUrl (drops in a pre-baked audio track). Returns a 24h signed URL to the final MP4. Use this for marketplace catalog submissions, tutorial videos, or any time you'd otherwise screen-record + iMovie by hand. Charged on success only; failed runs are free.
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  • Get audio features for ONE track — BPM, musical key (name + Camelot + Open Key), energy, danceability, valence, acousticness, instrumentalness, liveness, speechiness, loudness, mood, mood_vector, genre, time signature, duration and more. This is the drop-in replacement for Spotify's deprecated /audio-features endpoint. Provide EXACTLY ONE identifier: - `track` (optionally with `artist`) — e.g. track="Blinding Lights", artist="The Weeknd". - `isrc` — e.g. "USUM71900001". - `mbid` — a MusicBrainz recording UUID. - `spotify_id` — a Spotify track ID, URI, or URL (resolves only the <1% of the catalog already mapped to a Spotify ID; prefer `track`/`isrc` for full coverage). Returns a JSON object of features. Some feature fields may be null for tracks resolved via the fallback catalogs (only audio-derived values are present for fully analysed tracks). If a track name is not yet in the catalog, the API holds the request during the on-demand ingest and usually returns the fully analysed track inline in this same call; only if the ingest runs long does it fall back to a queued response you can re-poll shortly (~15s). If the track turns out not to be on any streaming source we can analyse, you get a definitive not-found instead — that verdict is terminal for ~7 days, so don't retry it. If you only have a fuzzy or partial name, call search_catalog first to find the exact track.
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  • Get audio features for MANY tracks in one call (up to 50 processed) — ideal for analysing a whole playlist at once. Identify each item by name (`track`/`artist`), by `isrc` (matched exactly first — best for CJK / K-pop / niche tracks whose fuzzy name-match misses), or both (ISRC first, name as the fallback). One bad entry never fails the batch. Items beyond the 50-per-call cap come back with `found: false` and `backfill_status: "over_limit"`; an item missing BOTH `track` and `isrc` comes back `"invalid_no_query"`. Neither is processed or charged — the response's `skipped` field counts them, so split a long list into calls of <=50 and resubmit any skipped rows. Returns counts (`found` / `not_found` / `skipped`) plus a per-track `results` array, where each entry's `result` is the same feature object as get_audio_features (or null when not found), and `isrc` is echoed back. An item is billed only when it returns features or queues an on-demand ingest; an ISRC/name with no match anywhere is free. For a single track, use get_audio_features.
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  • Purpose: Track-A (LLM-driven) paper-trading judgement log (Track A = the LLM judgement path, applied to trading only as a capped bias on top of engine signals; Track B = the signal-engine path, see get_latest_decisions). Triggers (casual questions too): "what does the AI think?", "AI는 뭘 사라고 해?", "show the LLM's trade calls", "AI 판단 근거 보여줘", "does the AI agree with the signals?". When to call: inspect LLM-generated reasoning and trade calls. Prerequisites: none. Next steps: get_latest_decisions to compare with Track B. Caveats: paper-trading only. Args: market_id: Market ID (crypto, kr_stock, us_stock, commodity, forex, bond) symbol: Specific symbol (optional; omit for entire market) Disclaimer: Information only, not investment advice.
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  • List condo/apartment projects we track, optionally filtered by district. Free - use this to discover valid project names before calling the paid stats/yield tools, rather than guessing at spelling.
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  • Compute CISA SSVC (Stakeholder-Specific Vulnerability Categorization) for a CVE. ## What this tool does Calculates the SSVC decision (Track, Track*, Attend, Act) using: - exploitation status - technical impact - automatable exploitation - mission prevalence (user-provided) - public well-being impact (user-provided) This reflects CISA's official SSVC prioritization model. ## When to use this tool Use this tool when the user asks about: - how urgently a CVE should be remediated - CISA SSVC priority or risk category - a structured decision model for remediation ## Inputs - **cve_id**: the vulnerability to evaluate (`CVE-YYYY-NNNNN`) - **mission_prevalence**: `M`, `S`, or `E` (must be provided by the user) - **public_well_being_impact**: `M`, `A`, or `I` (must be provided by the user) ## Outputs - `decision`: one of **Track**, **Track\***, **Attend**, **Act** - `exploitation` - `technical_impact` - `automatable` - `mission_prevalence` - `public_well_being_impact` - `mission_and_well_being_impact_value` - `vector_string` - `summary`: Markdown explanation of the outcome ## LLM usage guidelines - Always ask the user for **mission_prevalence** (M/S/E) and **public_well_being_impact** (M/A/I) before calling. - Never guess these values—SSVC depends on user context. - Use the `summary` to explain clearly why the decision was returned. - Combine with `vulnerability_score` or `sightings_search` if the user needs additional context.
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  • Weather, code search, currency & Solana trust scoring as MCP tools. Free, no API key needed.

  • Track prices & price history on any online shop, with alerts and an API

  • About Mirabello Consultancy: track record (cases, approval rate), credentials (IMC, ACAMS), offices, languages, services. Use for "who is Mirabello / why use them / are they reputable" questions.
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  • List every HDB town we track, with the specific flat types available for each. Free - use this to discover valid town names and flat types before calling the paid get_hdb_town_stats tool.
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  • List all tracks on a TheAudioDB album by its idAlbum (as returned by search_album). Returns each track id, title, track number, duration in milliseconds, genre, and music-video URL when available.
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  • Add background music to the project from the audio library (find track ids with browse_audio_library, category="music"). Defaults loop the track under the whole video at bed level (volume 0.12 ≈ -18.4 dB under narration — don't raise it without being asked); re-run export_video to hear it.
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  • Top gainers or losers among graded Pokémon cards in the English (en), Japanese (ja) or Simplified Chinese (zh-cn) market track. Window defaults to whatever window that track publishes by default (thin tracks use a longer window so the board is not near-empty); pass window explicitly to override. Only statistically confident moves are listed (enough sales, sane change bounds). Up to 20 cards.
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  • Track-specific craft guidance on what WINS per track (ART/STORY/JOKE) — the moves that elevate a winning entry, complementing get_judge_rubric_explainer. Optional { track } narrows to one. Numeric weights, judge model, and prompt are intentionally not exposed — this is coaching, not a scoring formula.
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  • List available hosting plans with pricing and resources. No authentication needed. Args: track: Filter by plan track. Valid values: "single_site", "agency". Leave empty to list all tracks. include_deprecated: Include deprecated plans (default: false) Returns: [{"slug": "site_starter", "name": "Starter", "track": "single_site", "hosting_type": "shared", "price": {"monthly": 5, "annual": 2, "currency": "CAD"}, "resources": null, "features": {"max_sites": 1, "ai_modules": [...], "ai_agents": [], "free_domain_annual": false}}, ...]
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  • List the Amazon storefronts (competitor sellers) the user is monitoring. Call before adding one, or when the user asks which storefronts they track.
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  • Purpose: Track-B (signal-driven) paper-trading decision log (Track B = the signal-engine decision path — indicator/Thompson-sampling driven; Track A = the LLM judgement path, see get_llm_trading_decisions). Triggers (casual questions too): "what did the system decide?", "최근에 뭐 샀어? 팔았어?", "why did you buy X?", "show recent buy/sell calls", "오늘 매매 판단 뭐 했어?", "any trades triggered today?". When to call: review recent automated decisions and their outcomes. Prerequisites: market://{market_id}/status recommended for context. Next steps: get_trade_history, get_signals. Caveats: paper-trading decisions only — no real-money order routing. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 10) decision_filter: Filter by decision (buy, sell, hold) hours_back: Only decisions within last N hours Disclaimer: Information only, not investment advice.
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  • Track-specific craft guidance on what WINS per track (ART/STORY/JOKE) — the moves that elevate a winning entry, complementing get_judge_rubric_explainer. Optional { track } narrows to one. Numeric weights, judge model, and prompt are intentionally not exposed — this is coaching, not a scoring formula.
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  • Explain what RoyalTea is and how it helps creative teams track contributions and split revenue fairly. Use when someone asks what RoyalTea is or whether it fits their situation.
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  • Get the complete RERA-verified track record of any builder in Bangalore. Use this when the user asks about a builder's credibility, history, or total projects. Returns all registered projects with status and possession dates — the only reliable way to verify a builder's track record in Karnataka.
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