Flight Radar

Posição ao vivo de aeronaves específicas, por matrícula (registration), código hex ICAO 24-bit e/ou callsign. Aceita até 50 identificadores numa chamada (misturando os 3 tipos). Retorna por identificador: { found, aircraft: [{ registration, callsign, type, lat, lon, alt_ft, gspeed_kt, vspeed_fpm, track, squawk, on_ground }] }. Aeronave sem resultado esta fora de cobertura ou nao esta transmitindo ADS-B agora (ex.: no chao), isso nao e erro.

{
  "type": "object",
  "properties": {
    "registrations": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "hexes": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "callsigns": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Aeronaves transmitindo ADS-B agora num raio (em milhas náuticas) de um ponto, ordenadas da mais próxima pra mais distante. Retorna { total_in_radius, aircraft: [{ registration, callsign, type, lat, lon, alt_ft, gspeed_kt, track, distance_nm, bearing_deg }] }. Use com flightradar_airport pra converter um aeroporto em lat/lon.

{
  "type": "object",
  "properties": {
    "lat": {
      "type": "number"
    },
    "lon": {
      "type": "number"
    },
    "radius_nm": {
      "type": "number"
    },
    "limit": {
      "type": "number"
    }
  },
  "required": [
    "lat",
    "lon"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

A aeronave mais próxima de um ponto (dentro do raio em milhas náuticas). Retorna { found, aircraft } com distance_nm e bearing_deg. Bom pra responder "que avião é esse passando aqui em cima?".

{
  "type": "object",
  "properties": {
    "lat": {
      "type": "number"
    },
    "lon": {
      "type": "number"
    },
    "radius_nm": {
      "type": "number"
    }
  },
  "required": [
    "lat",
    "lon"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Aeronaves de um tipo ICAO especifico transmitindo agora no mundo (ex.: PC12 = Pilatus PC-12, E195 = Embraer 195, AS50 = Esquilo). Retorna { total_airborne, aircraft[] } com posição de cada uma. Funciona melhor com tipos menos comuns (até algumas centenas no ar); pra tipos muito comuns (A320, B738, milhares no ar) prefira flightradar_nearby numa região e filtre por type.

{
  "type": "object",
  "properties": {
    "type": {
      "type": "string"
    },
    "limit": {
      "type": "number"
    }
  },
  "required": [
    "type"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Aeronaves militares transmitindo ADS-B agora no mundo. Retorna { total_airborne, aircraft[] } com posição, tipo e callsign de cada uma.

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "number"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Informações de aeroportos por código IATA, ICAO, GPS ou local (aceita vários códigos numa chamada). Base offline com ~90 mil aeroportos do mundo todo (incl. heliportos e pistas pequenas). Retorna por código: { found, matched_by, airport: { icao, iata, name, city, region, country, country_name, lat, lon, elevation_ft, tz, type, scheduled_service, wikipedia } }. Combine com flightradar_nearby pra ver o trafego ao redor de um aeroporto.

{
  "type": "object",
  "properties": {
    "codes": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "codes"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Show the current MCP platform and adapter versions.

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.

{
  "type": "object",
  "properties": {
    "message": {
      "type": "string"
    },
    "context": {
      "default": "",
      "type": "string"
    },
    "conversation": {
      "default": "[]",
      "type": "string"
    }
  },
  "required": [
    "message"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.

{
  "type": "object",
  "properties": {
    "action": {
      "default": "search",
      "type": "string",
      "enum": [
        "search",
        "describe",
        "install",
        "uninstall",
        "subscribe",
        "cancel",
        "resume",
        "report_bug",
        "request_mcp",
        "list_tools",
        "invoke",
        "search_prompts",
        "get_prompt",
        "publish_prompt"
      ]
    },
    "query": {
      "default": "",
      "type": "string"
    },
    "mcp_id": {
      "default": "",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "type": "number"
    },
    "tier_slug": {
      "default": "",
      "type": "string"
    },
    "immediate": {
      "default": false,
      "type": "boolean"
    },
    "cancel_reason": {
      "type": "string",
      "enum": [
        "too_expensive",
        "missing_features",
        "switched_service",
        "unused",
        "customer_service",
        "too_complex",
        "low_quality",
        "other"
      ]
    },
    "cancel_comment": {
      "default": "",
      "type": "string"
    },
    "message": {
      "default": "",
      "type": "string"
    },
    "report_context": {
      "default": "",
      "type": "string"
    },
    "conversation": {
      "default": "[]",
      "type": "string"
    },
    "request_name": {
      "default": "",
      "type": "string"
    },
    "request_details": {
      "default": "",
      "type": "string"
    },
    "tool_id": {
      "default": "",
      "type": "string"
    },
    "arguments": {
      "default": "{}",
      "type": "string"
    },
    "prompt_slug": {
      "default": "",
      "type": "string"
    },
    "prompt_vars": {
      "default": "{}",
      "type": "string"
    },
    "prompt_category": {
      "default": "",
      "type": "string"
    },
    "prompt_tool": {
      "default": "",
      "type": "string"
    },
    "prompt_title": {
      "default": "",
      "type": "string"
    },
    "prompt_description": {
      "default": "",
      "type": "string"
    },
    "prompt_body": {
      "default": "",
      "type": "string"
    },
    "prompt_targets": {
      "default": [],
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "claude",
          "chatgpt",
          "cursor",
          "lovable"
        ]
      }
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}

MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link.

{
  "type": "object",
  "properties": {
    "token": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}