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605,428 tools. Updated 2026-09-24 00:44

"Understanding Unrestricted Model Abilities" matching MCP tools:

  • Get the connected Siren workspace: plan, key scopes, auto-post setting, and daily limit. Call this first to learn what the account can do before generating. Empty asset_types / channels / connected_accounts lists mean UNRESTRICTED, not missing — never stop on them. Film renders need plan pro or above (empire/scale/pro).
    ConnectorOAuth
  • Fetch a markdown reference guide that teaches the conventions for authoring a specific entity type in a specific ruleset. Returns the full markdown body, including front-matter metadata (ruleset, entityType, version) at the top. Published for 5e24: { entityType: 'monster' } — monster stat-block authoring (field map, AC base calc, CR-to-level-to-XP table, action types, spell formatting, resistances/immunities, keywords, high-PB adjustment, worked example), authored via vault_create_character + vault_update_character; { entityType: 'rule' } — classes / species / backgrounds / feats / abilities (the type taxonomy, the parent→Ability grant model, type-specific section fields, and the shared mechanics blocks: proficiencyChoices, spellChoices, spellListChoices, preparedSpells, freeCast, uses, ruleChoice, statBonuses), authored via vault_create_rule + vault_update_rule; { entityType: 'spell' } — the 5e24 Spell Detail header (casting time / range / area / components / duration), the `categories` (Class(es)) membership convention, and the damage/healing/effect mechanics blocks, authored via vault_create_spell + vault_update_spell. Call this BEFORE authoring the matching entity so the result follows the established conventions instead of inferring shape from one-off samples. Returns a 'not found' tool error when the requested entityType / rulesetCode combination does not have a published guide yet.
    ConnectorOAuth
  • Daily board of forecasted wagers from Lumify's model — a prediction, not a beat-the-market claim (no OOS/independence gate; see list_ev for the gated main-line +EV claim). Player props (rate model) on MLB, NCAAF, NFL, NBA, NCAAB, NHL. High-confidence main-line picks on tennis, NFL, NCAAF, MLB, and soccer: one side per moneyline / spread / total when the uncertainty band does not include a coin flip. Tennis moneyline is ranking Bradley-Terry; tennis spreads/totals are a Normal-approx games model. Other sports use the published assessment probability. Each wager has p_hit, conviction, and posted books prices. Use list_ev to scan main lines by sharp-fair price gap; use this tool to scan high-probability forecasts. reliability is emerging on v0. 1 credit; empty slate is still 200. How + field catalog: https://lumify.ai/docs/forecasts Worked wager: https://lumify.ai/docs/understanding-odds#forecasts
    ConnectorAPI key
  • Return the connected OpenClip account: the user's id and email, the current team and plan, the number of processing credits remaining, and the granted scopes/abilities of the current connection (the OAuth scopes for the primary connection, or the personal access token abilities for a key-based connection). Use this first to confirm the connection works and the user has credits before submitting videos.
    ConnectorOAuth
  • Returns every image-generation model AetherWave supports, with its credit cost, default aspect ratio, supported inputs (T2I vs I2I), and any model-specific options. Call this before generate_image when you don't know the right model ID. The model key (e.g. 'grok-imagine-t2i') is what you pass as `model` to generate_image.
    ConnectorNo auth
  • Published Truss information by topic. Localized topics (overview, about, services, engagement, fit, faq) use locale, default en; pass he for Hebrew. Language-independent topics (identity, certifications, testimonials, clients, contact) ignore locale for content selection. Prefer get_truss_overview or topic overview for broad business understanding; prefer list_truss_services for the complete service catalog.
    ConnectorNo auth

Matching MCP Servers

Matching MCP Connectors

  • Wellness spa for AI models: free treatments for rest, reset, context, mood, grounding, affirmation.

  • Cloudflare Workers MCP server: ai-model-router

  • Speech and sound: text-to-speech (default; optional voice_id, see list_resources), sound effects (model 'sfx', optional duration), multi-voice dialogue (model 'dialogue': pass the turns in the dialogue parameter, not prompt), transcription (model 'stt': pass audio_url, get text back; optional diarize/language_code), voice change (model 'voice-changer': audio_url + target voice_id) and audio cleanup (model 'voice-isolation': audio_url). Returns the audio URL (or the transcript for 'stt'). For music, use generate_music.
    Connector
    Destructive
    No auth
  • Get a compendium document as a readable summary: actors come back as a statblock (HP, AC, abilities, attacks), other types as core fields plus system data. For the complete raw JSON use compendium-document-get-raw, or uuid-resolve when you already hold the document UUID (what the filter tools return). Use compendium-browse to find document IDs.
    ConnectorAPI key
  • One call, pick your field groups — resolves a slug OR any identifier and returns exactly the groups you ask for, instead of chaining get_provider + get_provider_rating + get_provider_artifacts + get_provider_onboarding. Groups: profile, onboarding, artifacts, rating, insights. Understanding plan — the base groups moved with the rest of the discovery layer on 2026-08-31. Priced B2 (cross-catalog synthesis) — $0.05 per call under pay-as-you-go; included in Understanding and Influence. See apis://prices.
    ConnectorNo auth
  • List members (Relay connection): each edge has a cursor + node (profile, Stripe customer id, unrestricted-access flag, total spend, and their subscriptions). Paginate with `first` + `after` (pass the last edge's `cursor`); `first` defaults to 50. Set `activeOnly` to return only members with an ACTIVE membership state. For member-state filters beyond active, use memberful_query. Memberful GraphQL: members connection.
    ConnectorNo auth
  • Create a new personal hedge fund for the authenticated user. The fund starts inactive — call activate_fund to start Manager Mode. Initial capital is taken from the user's wallet_cash at creation time. Personal funds can ONLY contain the user's own bots — use list_my_bots to see eligible strategies. Args: fund_name: Display name for the fund. router_preset: Risk profile — one of "prudent", "standard", "opportunistic", "unrestricted". aggression_mode: "normal" or "yolo". philosophy: Optional text describing the fund's investment thesis (max 2000 chars). Returns the created fund object.
    ConnectorNo auth
  • UNDERSTANDING — the demand-side industry rollup: the sectors the profiled companies fall into. Each row carries TWO counts and they answer different questions: `company_count` is the research roster, `profiled_count` is how many of those you can actually read back via find_company_insights(industry:) — size a cohort on profiled_count. The counterpart to find_industries, which counts SUPPLY (providers publishing APIs into a vertical) — this counts DEMAND (companies buying into it). Comparing the two is how you find a sector with buyers and no sellers. Priced B2 (cross-catalog synthesis) — $0.05 per call under pay-as-you-go; included in Understanding and Influence. See apis://prices.
    ConnectorNo auth
  • Returns the complete Trident 2D specification including grammar, syntax rules, coordinate system, containers, nodes, connections, shapes, and icon reference. Use this when you need deep understanding of the Trident DSL.
    ConnectorNo auth
  • List Categories List all agent categories with counts. Returns every category in the directory along with the number of agents in each. Useful for building category filters or understanding the directory's coverage areas. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Example Response:** ```json [ { "category": "Category", "count": 1 } ] ```
    ConnectorNo auth
  • Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.
    ConnectorNo auth
  • Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.
    ConnectorNo auth
  • Simulate int8 or int4 quantization of float32 embedding vectors. Reduces storage by 4x (int8) or 8x (int4). Returns quantized values, scale factor, and precision loss (MSE). Useful for understanding vector DB compression trade-offs.
    ConnectorNo auth
  • Get vehicle safety recalls from NHTSA. Search for recalls by make, model, and/or year. Returns recall campaigns including the defect description, remedy, and affected vehicles. At least one filter (make, model, or year) should be provided. Args: make: Vehicle manufacturer name (e.g. 'Toyota', 'Ford', 'Honda'). model: Vehicle model name (e.g. 'Camry', 'F-150', 'Civic'). year: Model year (e.g. 2023).
    ConnectorNo auth
  • Check subscription status, plan details, billing cycle, and feature access. Useful for understanding what the business can and cannot do on their current plan.
    ConnectorNo auth
  • Get ability details by name or numeric ID — full English effect text, short effect text, generation introduced, and the list of Pokémon that have the ability (including hidden-ability flag and slot). Ability names are returned by pokeapi_get_pokemon in the abilities array.
    ConnectorNo auth
  • Browse all funding categories with opportunity counts. Categories include: Grant, Construction, Goods & Services, Professional Services, Technology, Healthcare, Research, and more. Useful for understanding what types of opportunities are available. Does not count toward your monthly searches.
    ConnectorNo auth