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Gameye

de Gameyeversión 0.4.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.Gameye/gameye-mcp

Instalar

Resumen

Descripción del creador (original en inglés)

Launch, inspect and stop multiplayer game server sessions on Gameye from any MCP client.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Otros
  • Debes completar: GAMEYE_API_TOKEN

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Los valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.

Necesitas

  • npmNode.js instalado (para el comando npx)

¿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": {
    "gameye": {
      "command": "npx",
      "args": [
        "-y",
        "gameye-mcp"
      ],
      "env": {
        "GAMEYE_API_TOKEN": "your-value",
        "GAMEYE_ENV": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add gameye --env GAMEYE_API_TOKEN=your-value --env GAMEYE_ENV=your-value -- npx -y gameye-mcp

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "gameye": {
      "command": "npx",
      "args": [
        "-y",
        "gameye-mcp"
      ],
      "env": {
        "GAMEYE_API_TOKEN": "your-value",
        "GAMEYE_ENV": "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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "gameye": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "gameye-mcp"
      ],
      "env": {
        "GAMEYE_API_TOKEN": "your-value",
        "GAMEYE_ENV": "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.

Valores que debes completar

  • GAMEYE_API_TOKEN secreto obligatorio env
    Gameye API token. Use the least-privileged scopes you need.
  • GAMEYE_ENV env
    API host: sandbox (self-serve, default) or production (enterprise).

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub Gameye, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 32476 servidores de esta categoría
  • Publicado en el registro más recientemente que el 74% de los otros 32476 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32476 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Gameye?

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.

¿Qué claves o códigos necesita?

Debes completar: GAMEYE_API_TOKEN

¿Se ejecuta en mi computadora o en la nube?

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).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.4.0) llegó al registro hace 12 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js, Docker en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, zanadir

Alternativas

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

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado ayer
Instalar

zanadir

de MustacheCase

Find what a repository's CI is missing, and which security checks cannot fail the build.

Se ejecuta en tu computadoraActualizado hoy
Instalar

README del creador

Abrir el README

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.

Gameye MCP Server

A Model Context Protocol server for the Gameye game server orchestration API. It lets an AI agent (Claude Code, Claude Desktop, Cursor, or any MCP client) launch and inspect game server sessions, check image tags and regions, and fetch logs and artifacts. You talk to it in plain language, and you don't have to leave your editor.

Status: beta (0.x). Tools, inputs and outputs may change between releases, and there may be bugs. The server says so to every client that connects, on startup, and in gameye_context. It is published on npm as gameye-mcp, as a container image at ghcr.io/gameye/gameye-mcp, and in the MCP Registry as io.github.Gameye/gameye-mcp; see the changelog for what changed in each release.

Quick start

GAMEYE_API_TOKEN=<your-token> npx -y gameye-mcp

It needs Node.js 22 or newer. The server speaks MCP over stdio. Normally your MCP client starts it for you (see Install), so you rarely need to run it by hand.

Environments

Gameye has two public API hosts. The server targets sandbox by default.

GAMEYE_ENVHostWho it is for
sandbox (default)https://api.sandbox-gameye.gameye.netSelf-serve customers. This is your permanent home and runs live matches, not just tests.
productionhttps://api.production-gameye.gameye.netEnterprise customers.

The environment is a property of the server process. No tool takes an environment argument, so an agent can't switch to production partway through a conversation. If you need both, configure two named server entries (for example gameye-sandbox and gameye-production), each with its own token.

Environment variables

VariableRequiredDefaultDescription
GAMEYE_API_TOKENYes—Gameye API token. Use the least-privileged scopes you need (see below).
GAMEYE_ENVNosandboxsandbox or production. Selects the API host.
GAMEYE_API_URLNo—Overrides the host, for testing only. Must be https. If it equals one of the two known hosts, it must match GAMEYE_ENV or the server refuses to start. Any other URL is labelled custom in every tool result.
GAMEYE_ENABLE_SKILLS_UPDATENo—Set to 1 to let gameye_update_skills run the skills updaters with apply: true. Without it the tool only checks and lists the commands.
GAMEYE_MAX_SESSIONSNo5Most sessions launched by this server that may run at once. A launch past it is refused.
GAMEYE_MAX_TTLNo4hLongest ttl a launch may ask for, at least 30m. A longer TTL, or 0, is refused.
GAMEYE_MAX_LAUNCHESNo20Launches per server run. Restart the server to reset it.
GAMEYE_STOP_OWN_ONLYNo—Set to 1 so gameye_stop_session only stops sessions this server launched.
GAMEYE_TIMEOUT_MSNo30000Per-request timeout in milliseconds, a positive whole number. Log snapshots get at least 60 s and artifact downloads at least 120 s. A request that runs out of time comes back as a tool error: Request to timed out after s.

Install

Claude Code
claude mcp add gameye --env GAMEYE_API_TOKEN=<your-token> -- npx -y gameye-mcp

For production, add --env GAMEYE_ENV=production and use a production token.

Other MCP clients

Most clients (Claude Desktop, Cursor, Windsurf and others) accept an mcpServers block:

{

"mcpServers": { "gameye": { "command": "npx", "args": ["-y", "gameye-mcp"], "env": { "GAMEYE_API_TOKEN": " ", "GAMEYE_ENV": "sandbox" } } } }

Restart the client after you change its configuration.

npx -y gameye-mcp runs the latest release. To stay on one version, name it: npx -y gameye-mcp@0.4.0 (or "args": ["-y", "gameye-mcp@0.4.0"]).

Windows

The server runs on Windows with Node.js 22 or newer. We've tested it on Windows 11, through Claude Code and over plain stdio. If something breaks on Windows, please open an issue.

  • Many Windows MCP clients can't start npx directly, because it's a .cmd script. Start it through cmd /c instead:
  "command": "cmd",

"args": ["/c", "npx", "-y", "gameye-mcp"]

With Claude Code: claude mcp add gameye --env GAMEYE_API_TOKEN= -- cmd /c npx -y gameye-mcp. Claude Code 2.1.296 and later also start plain npx.

  • In PowerShell, type npx.cmd instead of npx when you run the server by hand. A new Windows install blocks the npx PowerShell script with "running scripts is disabled on this system".
  • The first start downloads the package and can take 10 to 40 seconds. Later starts take about a second.
  • gameye_update_skills reports outdated skills on Windows but doesn't run the update. It prints the commands for you to run.
  • gameye_create_token writes the token file with owner-only permissions on macOS and Linux. On Windows those permissions don't apply, and the file gets the access rules of its folder. Write it inside your user profile.
Docker

No Node.js on the machine? Run the published image instead. It works on amd64 and arm64:

{

"mcpServers": { "gameye": { "command": "docker", "args": ["run", "-i", "--rm", "-e", "GAMEYE_API_TOKEN", "-e", "GAMEYE_ENV", "ghcr.io/gameye/gameye-mcp"], "env": { "GAMEYE_API_TOKEN": " ", "GAMEYE_ENV": "sandbox" } } } }

With Claude Code: claude mcp add gameye --env GAMEYE_API_TOKEN= -- docker run -i --rm -e GAMEYE_API_TOKEN ghcr.io/gameye/gameye-mcp.

  • Pass each variable with -e NAME (no value), so Docker copies it from the client's environment and the token never appears in the command line.
  • Keep -i and never add -t: a terminal mangles the JSON-RPC messages on stdout.
  • To stay on one version, use a version tag such as ghcr.io/gameye/gameye-mcp:0.4.0.
  • Files the server writes stay inside the container, and --rm deletes them:
  • gameye_get_artifacts saves its download under the temp directory. To keep it, mount a directory and point the temp directory at it: -v /absolute/dir:/out -e TMPDIR=/out. The path the tool reports is the container path; the file is in /absolute/dir on the host.
  • gameye_create_token writes to the outputPath you give it. Mount a directory the same way and pass an outputPath under /out.
  • The server runs as uid 1000, so on Linux the mounted directory must be writable by that user.

Token scopes

Give the server a token with only the scopes it needs.

RecipeScopesWhat the agent can do
Observersession:read logs:read artifact:read regions:read region:read application:readInspect sessions, logs, artifacts, regions and applications. No changes.
OperatorObserver + session:start session:stop session:writeAlso launch and stop sessions and update session state.
DeployerOperator + application:writeAlso create and edit applications, so the agent can set up a deployment end to end.
Token adminDeployer + token:writeAlso create API tokens.

Never pass your Gameye API token into a game server's environment. A game server doesn't need it, and anything inside the container can read it.

Available tools

Every tool result starts with the environment and host it used, for example [sandbox · api.sandbox-gameye.gameye.net].

ToolKindDescription
gameye_contextreadShow the environment, host and server version this server targets, and the guardrail defaults (session TTL, launched-by label, token expiry)
gameye_launch_sessionwrite, dryRunStart a containerized game server (billable). Default TTL and agent label applied; see Guardrails
gameye_list_sessionsreadList running sessions (filterable; all=true for every status)
gameye_describe_sessionreadGet session details, ports and players
gameye_stop_sessiondestructive, dryRunStop one session by its exact ID
gameye_player_joinwriteRegister one or more players as joined
gameye_player_leavewriteRemove one or more players from a session
gameye_get_locationsreadList locations that can host an image right now
gameye_list_regionsreadList the regions available to your organization
gameye_check_tagreadCheck whether an image tag is available in a region
gameye_list_applicationsreadList your applications with registry, resources, regions and ports
gameye_list_registry_tagsreadList an application's tags in its upstream registry (paged)
gameye_enable_tagwrite, dryRunEnable an image tag for an application so Gameye preloads it
gameye_get_logsreadFetch session logs
gameye_get_artifactsreadDownload a file or directory from a session container as a tar archive
gameye_create_applicationwrite, dryRunCreate an application
gameye_edit_applicationdestructive, dryRunChange an application; omitted fields stay unchanged
gameye_create_tokenwrite, dryRunCreate an API token and write it to a file
gameye_update_skillsread, or write with applyCompare the installed Gameye skills with the latest pack, and update them with apply: true. See Keeping the skills current

Every tool carries MCP annotations: read tools set readOnlyHint, gameye_stop_session and gameye_edit_application set destructiveHint, and every tool that calls the Gameye API sets openWorldHint.

The tool set covers every operation in the Gameye client API. tests/parity.test.ts checks this against the vendored spec in spec/.

Guardrails

These behave the same on sandbox and production, because sandbox runs live matches for self-serve customers.

  • Dry run. gameye_launch_session, gameye_stop_session, gameye_enable_tag and the application and token tools accept dryRun: true. The tool returns the exact request (method, host, path and body) with the API token masked, and sends nothing.
  • Bounded sessions. A launch without ttl gets a 30m TTL, and the result says the default was applied. Every launch sends the label launched-by: gameye-mcp, replacing any launched-by value the caller passes, so agent-launched sessions can be found with gameye_list_sessions and filter: { "launched-by": "gameye-mcp" }. When a warm pool serves the image and region, the Gameye API ignores request labels (and env and args), so warm-pool sessions do not carry this label.
  • No token in game servers. A launch is refused, with nothing sent, if any env value or name, arg, or label key or value contains this server's Gameye API token. Env values are never shown in results.
  • No token in results. Every tool result, including errors, has this server's API token replaced with ***, in case log output, labels or an error message echo it.
  • Explicit stops. gameye_stop_session stops exactly one session by its exact ID. There is no bulk stop, and empty, wildcard or list IDs are refused. With GAMEYE_STOP_OWN_ONLY=1 it also refuses any session this server did not launch.
  • Session limits. The Gameye API has no per-token budget, so the server enforces one before it sends a launch. By default an agent can have at most 5 sessions it launched running at once (GAMEYE_MAX_SESSIONS), each with a TTL of at most 4h (GAMEYE_MAX_TTL)

Solo se muestra el principio; lee el resto en el repo

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