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Description from the maker (original English)
MCP server for the start.gg GraphQL API: tournaments, events, entrants, sets, standings, streams
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
STARTGG_TOKEN, STARTGG_ENABLE_WRITESValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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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-serverFill in the empty values before running it.
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.
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.
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STARTGG_ENABLE_WRITES envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account tomo789, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: STARTGG_TOKEN
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).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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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.
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:
{ round, state: "COMPLETED", entrant1: { gamerTag, seed }, score, winnerEntrantId, ... } instead of raw GraphQL nestingThe server is game-agnostic. Game-specific logic (e.g. Smash upset detection) belongs in applications built on top — see examples/smash-ultimate-watcher.
Retry-After supportAUTH_ERROR, RATE_LIMITED, NOT_FOUND, INVALID_INPUT, STARTGG_GRAPHQL_ERROR, NETWORK_ERROR, INTERNAL_ERRORgraphql/ files, separate from codeTreat the token like a password. This server reads it only from the STARTGG_TOKEN environment variable.
# run without installing
npx startgg-mcp-server
npm install -g startgg-mcp-server
Requires STARTGG_TOKEN in the environment; MCP clients normally launch it for you (see the next section).
git clone https://github.com/tomo789/startgg-mcp-server.git
cd startgg-mcp-server npm install npm run build
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
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.
| Tool | Purpose |
|---|---|
search_videogames | Find videogame ids by name (e.g. "Super Smash Bros. Ultimate" → 1386) |
search_tournaments | General tournament search: name, videogame, country/state, date range, upcoming/past, open registration |
get_upcoming_tournaments | Tournaments that haven't ended yet (includes in-progress), soonest first, with a days window |
get_tournaments_by_videogame | Tournaments for one videogame id (upcoming / past / all) |
| Tool | Purpose |
|---|---|
get_tournament | Details, schedule, venue, events list, configured streams |
get_tournament_events | Events (brackets) of a tournament, optionally filtered by videogame |
get_tournament_entrants | Tournament-level participants (attendees); per-event seeding lives in get_event_entrants |
get_stream_queue | Stream queue: streams (with derived Twitch URLs) and the sets assigned to each |
| Tool | Purpose |
|---|---|
get_event | Event details including phases (Pools, Top 8, ...) with phase ids |
get_event_entrants | Entrants with seed, players, DQ flag; pagination or fetchAll |
get_event_standings | Placements (use perPage: 8 for Top 8) |
get_event_sets | Normalized sets with stream; filter by state, phase, round, entrants, players, VOD; includeGames for per-game details |
get_set_games | Per-game stage / winner / character picks for one set; see coverage note |
| Tool | Purpose |
|---|---|
get_player | Player by id: gamer tag, prefix, linked user |
get_player_sets | A player's recent sets across tournaments |
| Tool | Purpose |
|---|---|
resolve_startgg_url | start.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.
{
"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-1 is start.gg's disqualification marker"preview_3430499_2_0"state names are decoded from the integer stateRaw; both are always returnedentrant1/entrant2 use a players array, so doubles/teams work unchangedget_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.
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.
| Variable | Required | Default | Purpose |
|---|---|---|---|
STARTGG_TOKEN | yes | — | start.gg API token |
STARTGG_ENABLE_WRITES | no | false | Reserved. No write tools exist yet; the flag only logs a notice |
STARTGG_RATE_LIMIT | no | 75 | Requests per 60s window (hard-capped at 80) |
STARTGG_TIMEOUT_MS | no | 30000 | Per-request HTTP timeout |
STARTGG_CACHE | no | on | Set 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.
api.start.gg, and never included in tool output, logs, or error messages.env files are git-ignored; use .env.example as a templatestart.gg allows 80 requests per 60 seconds and at most 1000 objects per request. This server:
429 (honoring Retry-After) and transient 5xx errors with exponential backoff, at most 3 retries — GraphQL errors are never retriedperPage per tool so responses stay under the 1000-object complexity limit (sets are expensive: ~26+ objects each, hence perPage <= 30)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 earlynpm run dev # run from source (tsx)
npm run build # compile to dist/ npm run
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