原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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start.gg MCP Server

作者:tomo789版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.tomo789/startgg-mcp-server

安装

概览

作者提供的说明(英文原文)

MCP server for the start.gg GraphQL API: tournaments, events, entrants, sets, standings, streams

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具
  • 你需要填写:STARTGG_TOKEN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: STARTGG_TOKEN, STARTGG_ENABLE_WRITES

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "startgg": {
      "command": "npx",
      "args": [
        "-y",
        "startgg-mcp-server"
      ],
      "env": {
        "STARTGG_TOKEN": "your-value",
        "STARTGG_ENABLE_WRITES": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add startgg --env STARTGG_TOKEN=your-value --env STARTGG_ENABLE_WRITES=your-value -- npx -y startgg-mcp-server

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "startgg": {
      "command": "npx",
      "args": [
        "-y",
        "startgg-mcp-server"
      ],
      "env": {
        "STARTGG_TOKEN": "your-value",
        "STARTGG_ENABLE_WRITES": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "startgg": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "startgg-mcp-server"
      ],
      "env": {
        "STARTGG_TOKEN": "your-value",
        "STARTGG_ENABLE_WRITES": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • STARTGG_TOKEN 机密 必填 env
    start.gg API token (create at https://start.gg/admin/profile/developer)
  • STARTGG_ENABLE_WRITES env
    Reserved flag for future write (mutation) tools; keep false

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 tomo789 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 4930 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 4930 个服务器的 37% 更新
  • 基础检查结果等于或优于此分类中其他 4930 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

start.gg MCP Server 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:STARTGG_TOKEN

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

作者:github广泛使用★ 3.4万5天前更新

电脑或云端

Desktop Commander

MCP server for terminal commands, file operations, and process management

作者:wonderwhy-er广泛使用↓ 71万/周★ 1万17天前更新

在你的电脑上运行

Cloudflare MCP

Cloudflare MCP servers

作者:cloudflare正在增长★ 444614个月前更新

在云端运行✓ mcp.cloudflare.com

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

startgg-mcp-server

A Model Context Protocol server for the start.gg GraphQL API. It lets MCP clients (Claude Code, Claude Desktop, and others) discover tournaments, inspect events, entrants, sets, standings, and streams for any game on start.gg using natural language.

What is this?

start.gg exposes a powerful but complex GraphQL API: entrants vs participants vs players, integer set states, complexity-limited pagination, epoch timestamps. This server wraps that API in a small set of MCP tools with:

  • Normalized output — sets come back as { round, state: "COMPLETED", entrant1: { gamerTag, seed }, score, winnerEntrantId, ... } instead of raw GraphQL nesting
  • URL resolution — paste a start.gg URL, get tournament/event ids back
  • Built-in rate limiting, retries, and caching tuned to start.gg's documented limits

The server is game-agnostic. Game-specific logic (e.g. Smash upset detection) belongs in applications built on top — see examples/smash-ultimate-watcher.

Features

  • 16 read-only tools covering discovery, tournaments, events, players, streams, and URL resolution
  • Input validation (Zod) on every tool — bad ids, oversized page sizes, and malformed URLs never reach the API
  • Sliding-window rate limiter (default 75 req/60s vs start.gg's 80), retries with exponential backoff, and Retry-After support
  • Short-TTL in-memory cache for metadata queries
  • Typed error codes: AUTH_ERROR, RATE_LIMITED, NOT_FOUND, INVALID_INPUT, STARTGG_GRAPHQL_ERROR, NETWORK_ERROR, INTERNAL_ERROR
  • GraphQL documents kept in graphql/ files, separate from code
  • The API token never appears in output, logs, or error messages
  • Compact JSON output (no pretty-printing) to keep tool results small

Requirements

  • Node.js >= 22
  • A start.gg API token

Getting a start.gg API token

  1. Log in to start.gg
  2. Open [developer settings](https://start.gg/admin/profile/developer) (Profile → Developer Settings)
  3. Create a personal access token and copy it

Treat the token like a password. This server reads it only from the STARTGG_TOKEN environment variable.

Installation

From npm (recommended)
# run without installing

npx startgg-mcp-server

or install globally

npm install -g startgg-mcp-server

Requires STARTGG_TOKEN in the environment; MCP clients normally launch it for you (see the next section).

From source
git clone https://github.com/tomo789/startgg-mcp-server.git

cd startgg-mcp-server npm install npm run build

MCP client setup

Claude Code (CLI)
claude mcp add startgg --env STARTGG_TOKEN=YOUR_TOKEN -- npx -y startgg-mcp-server

Running from a source checkout instead:

claude mcp add startgg --env STARTGG_TOKEN=YOUR_TOKEN -- node /path/to/startgg-mcp-server/dist/cli.js
Claude Desktop

Add to claude_desktop_config.json:

{

"mcpServers": { "startgg": { "command": "npx", "args": ["-y", "startgg-mcp-server"], "env": { "STARTGG_TOKEN": "YOUR_TOKEN" } } } }

From a source checkout, use "command": "node" and "args": ["/path/to/startgg-mcp-server/dist/cli.js"] instead.

Any MCP client that supports stdio servers works the same way: run node dist/cli.js (or the startgg-mcp-server bin once installed via npm) with STARTGG_TOKEN set.

Available tools

Discovery
ToolPurpose
search_videogamesFind videogame ids by name (e.g. "Super Smash Bros. Ultimate" → 1386)
search_tournamentsGeneral tournament search: name, videogame, country/state, date range, upcoming/past, open registration
get_upcoming_tournamentsTournaments that haven't ended yet (includes in-progress), soonest first, with a days window
get_tournaments_by_videogameTournaments for one videogame id (upcoming / past / all)
Tournament
ToolPurpose
get_tournamentDetails, schedule, venue, events list, configured streams
get_tournament_eventsEvents (brackets) of a tournament, optionally filtered by videogame
get_tournament_entrantsTournament-level participants (attendees); per-event seeding lives in get_event_entrants
get_stream_queueStream queue: streams (with derived Twitch URLs) and the sets assigned to each
Event
ToolPurpose
get_eventEvent details including phases (Pools, Top 8, ...) with phase ids
get_event_entrantsEntrants with seed, players, DQ flag; pagination or fetchAll
get_event_standingsPlacements (use perPage: 8 for Top 8)
get_event_setsNormalized sets with stream; filter by state, phase, round, entrants, players, VOD; includeGames for per-game details
get_set_gamesPer-game stage / winner / character picks for one set; see coverage note
Player
ToolPurpose
get_playerPlayer by id: gamer tag, prefix, linked user
get_player_setsA player's recent sets across tournaments
Utility
ToolPurpose
resolve_startgg_urlstart.gg URL/slug → { type, tournamentId, eventId, slugs, names }

Tournament/event tools accept either a numeric id, a slug, or a full start.gg URL. Scheme-less URLs (start.gg/tournament/...) and /event/ slugs are accepted too — you rarely need resolve_startgg_url explicitly, but it is there when you want the ids.

Normalized set shape
{

"id": 106877974, "round": "Grand Final", "roundNumber": 3, "state": "COMPLETED", "stateRaw": 3, "completedAt": "2026-08-24T07:19:34.000Z", "entrant1": { "entrantId": 24480092, "name": "LittleMacMain", "seed": 5, "players": [{ "playerId": 3655189, "gamerTag": "LittleMacMain", "prefix": "" }], "score": 2 }, "entrant2": { "...": "same shape" }, "score": { "entrant1": 2, "entrant2": 3, "displayScore": "LittleMacMain 2 - RenSuø 3" }, "winnerEntrantId": 24481002, "phase": { "id": 1994001, "name": "Bracket" }, "vodUrl": null }

Notes grounded in the live API:

  • roundNumber < 0 means losers bracket; round is the human-readable name
  • a score of -1 is start.gg's disqualification marker
  • unstarted "preview" sets have string ids like "preview_3430499_2_0"
  • state names are decoded from the integer stateRaw; both are always returned
  • entrant1/entrant2 use a players array, so doubles/teams work unchanged
Games and characters

get_set_games (and get_event_sets with includeGames: true) add per-game details when start.gg has them:

{

"orderNum": 1, "winnerEntrantId": 24480092, "stage": { "id": 484, "name": "Small Battlefield" }, "selections": [{ "entrantId": 24481002, "character": { "id": 1846, "name": "Kazuya" } }] }

derivedCharacters summarizes unique character names per entrant in first-appearance order across games. This is derived, not an API field.

Character and stage data only exists when the set was reported with it. In a 2026-09 sample, late rounds (Top 8 / streamed) had it on about 90% of completed sets; early pools about 5%. An empty games array means not reported, not that no games were played. Typical flow: get_event_sets (e.g. phaseIds for Top 8) → pick set ids → get_set_games. For many sets at once, get_event_sets with includeGames: true.

Examples

Things to ask an MCP client once connected:

Find upcoming Super Smash Bros. Ultimate tournaments this week.

Get the entrants and seeds for this start.gg tournament URL: https://www.start.gg/tournament/.../event/...

Show me completed sets from Top 8 of that event.

Which streams are assigned to sets at this tournament?

What were the biggest seed upsets in this event?

A standalone example application (videogame lookup → upcoming tournaments → sets → upset candidates by seed difference) lives in examples/smash-ultimate-watcher.

Environment variables

VariableRequiredDefaultPurpose
STARTGG_TOKENyes—start.gg API token
STARTGG_ENABLE_WRITESnofalseReserved. No write tools exist yet; the flag only logs a notice
STARTGG_RATE_LIMITno75Requests per 60s window (hard-capped at 80)
STARTGG_TIMEOUT_MSno30000Per-request HTTP timeout
STARTGG_CACHEnoonSet off to disable the in-memory cache

The API endpoint is deliberately not configurable through the environment: the token is only ever sent to api.start.gg. When using the client as a library (tests, tooling), inject apiUrl/fetchFn via the StartggClient constructor.

Out-of-range or non-numeric values for STARTGG_RATE_LIMIT / STARTGG_TIMEOUT_MS fall back to the default and log a warning on stderr.

Without STARTGG_TOKEN the server still starts and lists tools, but every call returns a clear AUTH_ERROR explaining how to fix it.

Security

  • The token is read from the environment only, sent only to api.start.gg, and never included in tool output, logs, or error messages
  • All tools are read-only; no mutations are implemented
  • .env files are git-ignored; use .env.example as a template
  • User-supplied input is schema-validated before any request is built

Rate limits

start.gg allows 80 requests per 60 seconds and at most 1000 objects per request. This server:

  • keeps a sliding-window budget below the request limit (default 75/60s)
  • retries 429 (honoring Retry-After) and transient 5xx errors with exponential backoff, at most 3 retries — GraphQL errors are never retried
  • caps perPage per tool so responses stay under the 1000-object complexity limit (sets are expensive: ~26+ objects each, hence perPage <= 30)
  • caps fetchAll at 5 pages per tool (output is meant for an LLM context, so it stays around 100 KB of compact JSON) and reports truncated: true when it stops early

Development

npm run dev        # run from source (tsx)

npm run build # compile to dist/ npm run

只显示了开头部分;其余内容请在仓库中阅读

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