Track Podcasts
Podcast sponsorship data from transcribed audio: who sponsors which shows, brand ad history, trends.
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Calidad y seguridad
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"podcast-sponsors": {
"url": "https://trackpodcasts.com/api/mcp"
}
}
}Puntos de conexión remotos
https://trackpodcasts.com/api/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (5)
🟢get_show_sponsors(show)
Who sponsors a given podcast. Returns every brand whose ad read was detected in that show's transcribed episodes, with how many reads, whether they were host-read or network-inserted, and when they were first and last heard. Accepts a show title, a trackpodcasts.com slug or a URL. If the title is ambiguous it returns candidate shows to choose from instead of guessing. Detected ad reads only — brands that were merely mentioned are not included.
Esquema de entrada
{
"type": "object",
"properties": {
"show": {
"type": "string",
"description": "Podcast title, slug or trackpodcasts.com URL, e.g. \"The Glenn Beck Program\"."
}
},
"required": [
"show"
],
"additionalProperties": false
}🟢get_brand_podcasts(brand)
Which podcasts a brand advertises on. Returns the shows where that brand's ad reads were detected, newest first, with the exact total even when the list itself is truncated for the plan. Accepts a brand name, slug or domain (a domain is the most reliable). Returns candidate brands when the name is ambiguous.
Esquema de entrada
{
"type": "object",
"properties": {
"brand": {
"type": "string",
"description": "Brand name, slug or domain, e.g. \"Squarespace\" or \"squarespace.com\"."
}
},
"required": [
"brand"
],
"additionalProperties": false
}🟢get_sponsor_activity_summary(brand, months)
How a brand’s podcast advertising has moved month by month: shows reached, ad reads detected and organic mentions, for up to 36 months. Use this for trend questions ("is this brand spending more?", "when did they start?"). Months with no detections are returned as zero, which means nothing was detected rather than that the brand stopped.
Esquema de entrada
{
"type": "object",
"properties": {
"brand": {
"type": "string",
"description": "Brand name, slug or domain."
},
"months": {
"type": "integer",
"minimum": 1,
"maximum": 36,
"description": "Months of history to return. Defaults to 12."
}
},
"required": [
"brand"
],
"additionalProperties": false
}🟢get_coverage_info
How much of podcasting this dataset actually covers: shows indexed, episodes transcribed, and the real number of brands and shows with detected ad reads. Call this before stating any sponsor finding as complete, and to explain why a show or brand might be missing.
Esquema de entrada
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢get_busiest_categories(days)
Which advertiser categories are buying the most podcast ads right now, by ad reads detected, with the number of brands and shows behind each. Aggregate only — it does not list the brands in a category.
Esquema de entrada
{
"type": "object",
"properties": {
"days": {
"type": "integer",
"enum": [
30,
90,
365
],
"description": "Lookback window in days. Defaults to 30."
}
},
"additionalProperties": false
}Comunidad
Evidencia