aggrometer
The gaming attention graph: Steam players, Twitch live viewers, aggro ratio, hype, history.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"aggrometer": {
"url": "https://aggrometer.com/mcp"
}
}
}Remote endpoints
https://aggrometer.com/mcpstreamable-httpWhat it can do
Tool inventory
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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input 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.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 2
}
},
"required": [
"query"
],
"additionalProperties": false
}Community
Evidence