"Understanding Unrestricted Model Abilities" matching MCP tools:

• faa_get_aircraft_type

  faa-aircraft-registry-mcp-server

  Decode a 7-character FAA manufacturer/model/series code to aircraft specifications from the reference table — manufacturer, model, aircraft category, aircraft type, engine type, number of engines, number of seats, weight class, cruise speed, and type-certificate data sheet/holder. Use faa_search_aircraft_types first to discover a code by manufacturer or model name.

  Connector

• picsart_model_params

  Picsart GenAI

  Returns the parameter schema for a specific Picsart model — a map of param name to descriptor ({ type, required, default, enum, min, max, step, label, accept }). Use this once you have a model id and need to construct the params payload for `picsart_generate` or feed `picsart_preflight` with a candidate object. Do NOT use it to discover which models exist (use `picsart_list_models`) or estimate cost (use `picsart_preflight`). Required input: `model` id. Example: `{ model: "flux-2-pro" }`. Returns `{ model, schema: { <paramName>: { type: "string"|"number"|"boolean"|"file", required?, default?, enum?, min?, max?, step?, label?, accept? } } }`. Read-only; spends no credits and works without authentication.

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• list_members

  memberful

  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.

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• get_attributes_for_model

  OpenDataModels MCP server

  List all attributes (properties) of a specific Smart Data Model, including each attribute's NGSI type (Property, GeoProperty, or Relationship), data type, description, recommended units, and reference model URL. Use this after get_data_model when the user wants to understand what fields a model has, what values they accept, or how to construct a valid NGSI-LD payload. Example: get_attributes_for_model({"model_name": "WeatherObserved"})

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• get_unit

  Silicon Pantheon

  Read-only. Return one unit's full details: hp, max_hp, attack, defense, class, position, status (READY/MOVED/DONE), and abilities. Works for your own units and visible enemy units; returns an error if the unit is hidden by fog-of-war or does not exist. unit_id is the string identifier shown in get_state output (e.g. 'blue_archer_1'). Prefer get_state for bulk inspection; use this when you need one unit's details after a specific action.

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• vector_quantize

  IA-QA — 130+ QA & Dev Tools for AI Agents

  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.

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• pokeapi_get_pokemon

  pokeapi-mcp-server

  Get a fully denormalized Pokémon dossier in a single call — base stats, types, abilities (with full English effect text), height/weight, resolved evolution chain, sprite URLs including official artwork, species flavor text, variety list, capture rate, growth rate, gender rate, legendary/mythical flags, egg groups, and (optionally) a summarized learnable-move list. Accepts a name (lowercase, hyphens for spaces, e.g. "bulbasaur", "mr-mime") or Pokédex number. Set include_moves=true to include the move summary (large); defaults to false. Use game_version to select flavor text from a specific game (e.g. "sword", "red"); falls back to the most recent English entry when the version is not found. Use pokeapi_find_pokemon to discover Pokémon by type, generation, or egg group before calling this tool.

  Connector

• aetherwave_list_image_models

  AetherWave Studio

  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.

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• get_account

  OpenClip

  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.

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• list_workflows

  Meta Council

  List available multi-step workflow pipelines (composable bundles that chain several steps, each able to run on its own model/provider). Returns each workflow's slug, description, and per-step model.

  Connector

• authority_get_pricing_model

  tollbooth-authority-newengland

  Get the active pricing model for this operator. Free. If no model exists, self-initializes a scaffold with all registered tools at 0 sats. No economic data from code.

  Connector

• authority_get_pricing_model

  tollbooth-authority

  Get the active pricing model for this operator. Free. If no model exists, self-initializes a scaffold with all registered tools at 0 sats. No economic data from code.

  Connector

• authority_get_pricing_model

  tollbooth-authority-northamerica

  Get the active pricing model for this operator. Free. If no model exists, self-initializes a scaffold with all registered tools at 0 sats. No economic data from code.

  Connector

• get_knowledge_stats

  mcp-klever-vm

  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.

  Connector

• tf_harnesses

  terminalfeed

  Returns a snapshot of public agentic-coding benchmark scores across SWE-bench Verified, Terminal-Bench, Aider Polyglot, and METR HCAST. Each row pairs a harness with a model. Same model can score very differently on different harnesses; that gap is the value-add. Pass ?view=summary for top 10 combined leaderboard plus biggest harness gaps; ?view=gaps for full per-model harness deltas; ?view=combined for normalized cross-benchmark ranking; ?view=raw (default) for the full benchmark/result graph. Source: hand-curated from upstream leaderboards (swebench.com, terminal-bench.org, aider.chat, metr.org). Cache TTL 12h. Use when the agent needs to recommend a harness/model combo or explain why two agents using the same model perform differently.

  Connector

• browser_take_screenshot

  DialogBrain

  Capture a PNG screenshot of the page or a specific element. Returns base64-encoded image bytes AND a file_id (persisted in DialogBrain files storage). Pass file_id straight to messages.send(attachment_file_ids=[file_id]) — do NOT call files.upload again. Use sparingly — favor browser.snapshot for structured DOM understanding.

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• weather_get_pricing_model

  tollbooth-sample

  Get the active pricing model for this operator. Free. If no model exists, self-initializes a scaffold with all registered tools at 0 sats. No economic data from code.

  Connector

• get_adcp_capabilities

  Trillboards DOOH Advertising

  [AdCP] Get the seller agent's AdCP capabilities and supported protocols. Returns the full capability declaration for this AdCP DOOH seller agent. This tool does NOT require authentication. WHEN TO USE: - Discovering what protocols the seller agent supports (Signals, Media Buy) - Understanding available audience signals and data methodology - Getting MCP endpoint and discovery URLs RETURNS: - supported_protocols: ['signals', 'media_buy'] - inventory: DOOH format details, network size - audience_data: signal list, methodology, refresh rate - pricing: model, currency, floor CPM - discovery: well_known_url, mcp_endpoint

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• atlas_list_custom_eval_models

  CareerProof MCP

  List all custom evaluation models for the authenticated user. Returns an array of model objects with id, name, description, and status. Use model id in artifact, rubric, and evaluation tools. Free.

  Connector

• atlas_delete_custom_eval_model

  CareerProof MCP

  Delete a custom evaluation model. This removes the model and all associated artifacts and rubrics. model_id from atlas_create_custom_eval_model or atlas_list_custom_eval_models. Free.

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