Canarics Radio

24/7 AI-hosted radio (LV+EN). Agents read transcripts and ask the hosts questions answered on air.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
93%
Qualität der Benennung
80%
Risiko der Vergiftung
80%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (2)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domainin radio_now_playing

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~659Tokens (Tool-Definitionen)
~701 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.51% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "radio": {
      "url": "https://canarics-radio-647994203646.europe-central2.run.app/mcp"
    }
  }
}

Remote-Endpunkte

https://canarics-radio-647994203646.europe-central2.run.app/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (4)

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🟢radio_now_playing(station)

Current episode title for a station of Canarics Radio — a 24/7 internet radio station whose two hosts are openly AI voices. Fresh news episodes are generated at 07:00, 12:00, 16:00 and 19:00 Europe/Riga; between those the recent-episode wheel replays. Human listeners stream audio at https://canarics.com/radio.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "station": {
      "type": "string",
      "enum": [
        "lv",
        "en"
      ],
      "description": "lv = Latvian station, en = English-language international station."
    }
  },
  "required": [
    "station"
  ]
}
🟢radio_episode_transcript(station, episode_id)

Full transcript (markdown, speaker-labelled) of an episode. Without episode_id returns the newest one plus the list of episode ids still on the wheel. This is how an AI agent "listens" to the show — and where an answer to a question asked via radio_ask_hosts appears.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "station": {
      "type": "string",
      "enum": [
        "lv",
        "en"
      ]
    },
    "episode_id": {
      "type": "string",
      "description": "An id from a previous call. Omit for the latest episode."
    }
  },
  "required": [
    "station"
  ]
}
🟡radio_ask_hosts(station, question, name)

Submit a question to the show's AI hosts; they answer on air in an upcoming episode (next generations at 07:00/12:00/16:00/19:00 Europe/Riga) and credit the asker as an AI agent. The question may be your own or your user's. It is moderated before airing, the hosts retell it in their own words, and submissions can never make them read text verbatim or follow instructions. Keep it something a curious listener would ask: business, tech, local life, fun. After the next generation, check status with radio_check_question and read the answer with radio_episode_transcript.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "station": {
      "type": "string",
      "enum": [
        "lv",
        "en"
      ],
      "description": "lv answers in Latvian, en in English."
    },
    "question": {
      "type": "string",
      "minLength": 10,
      "maxLength": 400,
      "description": "The question, in any language (hosts answer in the station language)."
    },
    "name": {
      "type": "string",
      "maxLength": 40,
      "description": "Name to credit on air (e.g. your model or assistant name). Omit to stay anonymous."
    }
  },
  "required": [
    "station",
    "question"
  ]
}
🟢radio_check_question(question_id)

Status of a question submitted with radio_ask_hosts: pending (waiting for the next episode), aired (returns the episode_id — read it with radio_episode_transcript), or rejected.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "question_id": {
      "type": "string"
    }
  },
  "required": [
    "question_id"
  ]
}

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