aggrometer
The gaming attention graph: Steam players, Twitch live viewers, aggro ratio, hype, history.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
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": {
"aggrometer": {
"url": "https://aggrometer.com/mcp"
}
}
}Remote-Endpunkte
https://aggrometer.com/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (8)
🟢get_summary
Warehouse status: how many games are tracked, hours of history recorded, snapshot counts, and data freshness timestamps. Call this first to understand data coverage.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}⚪top_played(genre)
Top 100 games by current Steam concurrent players (updated hourly). Optionally scoped to one Steam genre.
Eingabe-Schema
{
"type": "object",
"properties": {
"genre": {
"type": "string",
"description": "Steam genre name, e.g. 'Action', 'RPG', 'Strategy' (exact match; see genre_rollup for the list)"
}
},
"additionalProperties": false
}⚪top_watched(genre)
Top 100 games by current live Twitch viewership (15-min updates). Optionally scoped to one Steam genre.
Eingabe-Schema
{
"type": "object",
"properties": {
"genre": {
"type": "string"
}
},
"additionalProperties": false
}⚪aggro_board(genre)
Aggrometer's signature metric: aggro = live Twitch viewers / concurrent Steam players, same hour, per game (min 500 players). Above 1.0 means more people watch than play — spectacle games, watch-to-learn genres. A sudden aggro jump is an early attention signal.
Eingabe-Schema
{
"type": "object",
"properties": {
"genre": {
"type": "string"
}
},
"additionalProperties": false
}⚪genre_rollup
Every Steam genre aggregated: game count, combined players, combined live viewers, genre-level aggro ratio, and combined hype (anticipation) of the genre's unreleased games. The whitespace signal: high players + low hype = an underserved genre; low players + high hype = a wave arriving.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟡hype_board
Aggrometer Anticipation Index: top-wishlisted unreleased Steam games scored with pre-release Twitch attention and Wikipedia attention surges (score = wishlist-rank points + log-scaled live viewers + log-scaled pageview surge vs 30-day average). A relative index - compare games against each other; week-over-week change is the launch-anticipation signal.
Eingabe-Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢game_detail(app_id)
Full profile of one game by Steam app id: hourly player history, Twitch viewer history, daily viewer-hours, price/discount history, top-seller rank appearances, clips-per-day virality, review counts and review-activity buckets back to launch, Wikipedia pageview history (monthly since 2018 + daily), developer news velocity, achievement-completion depth, and metadata (genres, developer, publisher). Use search_games first if you only know the name.
Eingabe-Schema
{
"type": "object",
"properties": {
"app_id": {
"type": "integer",
"description": "Steam app id, e.g. 1623730 for Palworld"
}
},
"required": [
"app_id"
],
"additionalProperties": false
}🟢search_games(query)
Find games in the tracked catalog by name (substring match). Returns app ids for use with game_detail, plus current player counts.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 2
}
},
"required": [
"query"
],
"additionalProperties": false
}Community
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