# steam_charts_concurrent

Get Steam's live games-by-concurrent-players leaderboard. Returns the live leaderboard of games ranked by current concurrent players (rank, appid, current concurrent, peak). By default each row is enriched with the game name and review summary; pass enrich=false for raw ranked app ids. Credential-free public Steam WebAPI JSON.

Agent View of the PolicyLayer registry record for `steam_charts_concurrent`. HTML page: https://policylayer.com/tools/crawlora-mcp/steam-charts-concurrent

## Facts

- Tool: `steam_charts_concurrent`
- Server: Crawlora (`crawlora-mcp`) — https://policylayer.com/tools/crawlora-mcp.md
- Install: `npx -y crawlora-mcp`
- Homepage: https://www.npmjs.com/package/crawlora-mcp
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 3
- Recommended policy verdict: Allowed

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `l` | string | no | Steam store language name for name enrichment |
| `cc` | string | no | Store country code (ISO) for name enrichment |
| `enrich` | boolean | no | Attach game name and review summary to each rank |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "steam_charts_concurrent",
    "arguments": {}
  }
}
```

## Why steam_charts_concurrent is rated Low

Even though steam_charts_concurrent only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

## Use case

AI agents call steam_charts_concurrent to retrieve information from Crawlora without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Crawlora:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "steam_charts_concurrent": {}
  }
}
```

## Other tools on Crawlora (727)

- `anime_title` — Execute — https://policylayer.com/tools/crawlora-mcp/anime-title.md
- `coingecko_new_coins` — Execute — https://policylayer.com/tools/crawlora-mcp/coingecko-new-coins.md
- `justwatch_discover` — Execute — https://policylayer.com/tools/crawlora-mcp/justwatch-discover.md
- `justwatch_new` — Execute — https://policylayer.com/tools/crawlora-mcp/justwatch-new.md
- `manga_title` — Execute — https://policylayer.com/tools/crawlora-mcp/manga-title.md
- `steam_charts_top_releases` — Execute — https://policylayer.com/tools/crawlora-mcp/steam-charts-top-releases.md
- `yahoo_finance_ticker_history` — Execute — https://policylayer.com/tools/crawlora-mcp/yahoo-finance-ticker-history.md
- `airbnb_host` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-host.md
- `airbnb_host_listings` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-host-listings.md
- `airbnb_host_reviews` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-host-reviews.md
- `airbnb_room` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-room.md
- `airbnb_room_calendar` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-room-calendar.md
- `airbnb_room_reviews` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-room-reviews.md
- `airbnb_search` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-search.md
- `amazon_product` — Read — https://policylayer.com/tools/crawlora-mcp/amazon-product.md
- `amazon_search` — Read — https://policylayer.com/tools/crawlora-mcp/amazon-search.md
- `amazon_suggest` — Read — https://policylayer.com/tools/crawlora-mcp/amazon-suggest.md
- `anime_character` — Read — https://policylayer.com/tools/crawlora-mcp/anime-character.md
- `anime_character_search` — Read — https://policylayer.com/tools/crawlora-mcp/anime-character-search.md
- `anime_rankings` — Read — https://policylayer.com/tools/crawlora-mcp/anime-rankings.md
- `anime_search` — Read — https://policylayer.com/tools/crawlora-mcp/anime-search.md
- `anime_title_characters` — Read — https://policylayer.com/tools/crawlora-mcp/anime-title-characters.md
- `anime_title_recommendations` — Read — https://policylayer.com/tools/crawlora-mcp/anime-title-recommendations.md
- `anime_title_staff` — Read — https://policylayer.com/tools/crawlora-mcp/anime-title-staff.md
- `apple_podcasts_charts` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-charts.md
- `apple_podcasts_episodes_search` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-episodes-search.md
- `apple_podcasts_search` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-search.md
- `apple_podcasts_show` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-show.md
- `apple_podcasts_show_episodes` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-show-episodes.md
- `appstore_app` — Read — https://policylayer.com/tools/crawlora-mcp/appstore-app.md
- …and 697 more: https://policylayer.com/tools/crawlora-mcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=crawlora-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/crawlora-mcp