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Descripción del creador (original en inglés)
MCP server for the start.gg GraphQL API: tournaments, events, entrants, sets, standings, streams
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
STARTGG_TOKEN, STARTGG_ENABLE_WRITESLos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"startgg": {
"command": "npx",
"args": [
"-y",
"startgg-mcp-server"
],
"env": {
"STARTGG_TOKEN": "your-value",
"STARTGG_ENABLE_WRITES": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add startgg --env STARTGG_TOKEN=your-value --env STARTGG_ENABLE_WRITES=your-value -- npx -y startgg-mcp-serverCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"startgg": {
"command": "npx",
"args": [
"-y",
"startgg-mcp-server"
],
"env": {
"STARTGG_TOKEN": "your-value",
"STARTGG_ENABLE_WRITES": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"startgg": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"startgg-mcp-server"
],
"env": {
"STARTGG_TOKEN": "your-value",
"STARTGG_ENABLE_WRITES": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
STARTGG_ENABLE_WRITES envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub tomo789, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: STARTGG_TOKEN
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.1.0) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo