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start.gg MCP Server

by tomo789version 0.1.0i★ –iRuns on your computer
Registry nameio.github.tomo789/startgg-mcp-server

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools
  • You need to fill in: STARTGG_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: STARTGG_TOKEN, STARTGG_ENABLE_WRITES

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • STARTGG_TOKEN secret required 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

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account tomo789, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 4929 servers in this category
  • Published to the registry more recently than 37% of the other 4929 servers in this category
  • Basic checks equal to or better than 100% of the other 4929 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is start.gg MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: STARTGG_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

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