INDIVIDUAL MCP TOOL

calculate_steam_fees

Runs the full list-price-gross → developer-net waterfall for a Steam game, in US dollars.

steampageanalyzer.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://www.steampageanalyzer.com/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for calculate_steam_fees and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

steampageanalyzer.com

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.steam-page-analyzer]
url = "https://www.steampageanalyzer.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "steam-page-analyzer": {
      "type": "http",
      "url": "https://www.steampageanalyzer.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: steam-page-analyzer
Remote MCP URL: https://www.steampageanalyzer.com/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "steam-page-analyzer": {
      "url": "https://www.steampageanalyzer.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "steam-page-analyzer": {
      "type": "http",
      "url": "https://www.steampageanalyzer.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "steam-page-analyzer",
  "transport": "streamable-http",
  "url": "https://www.steampageanalyzer.com/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

analyze_steam_page — Scores a live Steam store page and returns the FREE TEASER: overall score and the four subscores (capsule, description, screenshots, tags), all 0-100, issue counts by severity and category, a recommendation count, and a deep link to the full report.
analyze_steam_tags — Fetches a live Steam store page and scores its tag setup: an overall tag score 0-100 with a health status, a per-tag breakdown (rank, popularity, competition, relevance, keep/promote/demote/remove), tags worth adding, tags worth removing, reorder suggestions and a suggested tag order.
benchmark_steam_page — Fetches a live Steam store page and places its four raw facts, screenshot count, trailer count, short-description length, About-This-Game length, against the most specific cohort of our 405-page corpus (2026-02-10 to 2026-07-30) that can hold them, returning a percentile and the cohort median for each.
calculate_review_score — Maps a positive/negative review count to the Steam review label ("Mixed", "Very Positive", …) and works out what it takes to reach every better label: consecutive 100%-positive reviews needed, and total new reviews needed if future reviews run 90% or 80% positive (some targets are mathematically unreachable at a given mix and are reported as such).
calculate_wishlists_needed — Works backwards from a first-year net revenue goal (USD) to the number of wishlists needed at launch.
estimate_steam_revenue — Estimates lifetime units sold and revenue for a released Steam game using the Boxleiter method (units ≈ review count × a genre copies-per-review multiplier).
fetch — Returns the full text of one steampageanalyzer.com document by the id `search` returned (`blog:<slug>`, `tool:<slug>` or `game:<app_id>`; a bare slug, a bare App ID or a page URL also work).
get_benchmark_stats — Returns median and mean values for the four raw Steam store-page facts we benchmark, screenshot count, trailer/video count, short-description length and About-This-Game length, all measured on the store page, for a cohort of our 405-page corpus (2026-02-10 to 2026-07-30).