Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Launch, inspect and stop multiplayer game server sessions on Gameye from any MCP client.
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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.
GAMEYE_API_TOKEN, GAMEYE_ENVValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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": {
"gameye": {
"command": "npx",
"args": [
"-y",
"gameye-mcp"
],
"env": {
"GAMEYE_API_TOKEN": "your-value",
"GAMEYE_ENV": "your-value"
}
}
}
}Run this in your terminal
claude mcp add gameye --env GAMEYE_API_TOKEN=your-value --env GAMEYE_ENV=your-value -- npx -y gameye-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"gameye": {
"command": "npx",
"args": [
"-y",
"gameye-mcp"
],
"env": {
"GAMEYE_API_TOKEN": "your-value",
"GAMEYE_ENV": "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": {
"gameye": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"gameye-mcp"
],
"env": {
"GAMEYE_API_TOKEN": "your-value",
"GAMEYE_ENV": "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.
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GAMEYE_ENV 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 7, 2026
The registry name was verified with the GitHub account Gameye, 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: GAMEYE_API_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 (0.4.0) reached the registry 13 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Tools MCP
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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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.
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 ingameye_context. It is published on npm asgameye-mcp, as a container image atghcr.io/gameye/gameye-mcp, and in the MCP Registry asio.github.Gameye/gameye-mcp; see the changelog for what changed in each release.
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.
Gameye has two public API hosts. The server targets sandbox by default.
GAMEYE_ENV | Host | Who it is for |
|---|---|---|
sandbox (default) | https://api.sandbox-gameye.gameye.net | Self-serve customers. This is your permanent home and runs live matches, not just tests. |
production | https://api.production-gameye.gameye.net | Enterprise 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.
| Variable | Required | Default | Description |
|---|---|---|---|
GAMEYE_API_TOKEN | Yes | — | Gameye API token. Use the least-privileged scopes you need (see below). |
GAMEYE_ENV | No | sandbox | sandbox or production. Selects the API host. |
GAMEYE_API_URL | No | — | 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_UPDATE | No | — | 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_SESSIONS | No | 5 | Most sessions launched by this server that may run at once. A launch past it is refused. |
GAMEYE_MAX_TTL | No | 4h | Longest ttl a launch may ask for, at least 30m. A longer TTL, or 0, is refused. |
GAMEYE_MAX_LAUNCHES | No | 20 | Launches per server run. Restart the server to reset it. |
GAMEYE_STOP_OWN_ONLY | No | — | Set to 1 so gameye_stop_session only stops sessions this server launched. |
GAMEYE_TIMEOUT_MS | No | 30000 | Per-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. |
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.
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"]).
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.
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.
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".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.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.
-e NAME (no value), so Docker copies it from the client's environment and the token never appears in the command line.-i and never add -t: a terminal mangles the JSON-RPC messages on stdout.ghcr.io/gameye/gameye-mcp:0.4.0.--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.Give the server a token with only the scopes it needs.
| Recipe | Scopes | What the agent can do |
|---|---|---|
| Observer | session:read logs:read artifact:read regions:read region:read application:read | Inspect sessions, logs, artifacts, regions and applications. No changes. |
| Operator | Observer + session:start session:stop session:write | Also launch and stop sessions and update session state. |
| Deployer | Operator + application:write | Also create and edit applications, so the agent can set up a deployment end to end. |
| Token admin | Deployer + token:write | Also 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.
Every tool result starts with the environment and host it used, for example [sandbox · api.sandbox-gameye.gameye.net].
| Tool | Kind | Description |
|---|---|---|
gameye_context | read | Show the environment, host and server version this server targets, and the guardrail defaults (session TTL, launched-by label, token expiry) |
gameye_launch_session | write, dryRun | Start a containerized game server (billable). Default TTL and agent label applied; see Guardrails |
gameye_list_sessions | read | List running sessions (filterable; all=true for every status) |
gameye_describe_session | read | Get session details, ports and players |
gameye_stop_session | destructive, dryRun | Stop one session by its exact ID |
gameye_player_join | write | Register one or more players as joined |
gameye_player_leave | write | Remove one or more players from a session |
gameye_get_locations | read | List locations that can host an image right now |
gameye_list_regions | read | List the regions available to your organization |
gameye_check_tag | read | Check whether an image tag is available in a region |
gameye_list_applications | read | List your applications with registry, resources, regions and ports |
gameye_list_registry_tags | read | List an application's tags in its upstream registry (paged) |
gameye_enable_tag | write, dryRun | Enable an image tag for an application so Gameye preloads it |
gameye_get_logs | read | Fetch session logs |
gameye_get_artifacts | read | Download a file or directory from a session container as a tar archive |
gameye_create_application | write, dryRun | Create an application |
gameye_edit_application | destructive, dryRun | Change an application; omitted fields stay unchanged |
gameye_create_token | write, dryRun | Create an API token and write it to a file |
gameye_update_skills | read, or write with apply | Compare 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/.
These behave the same on sandbox and production, because sandbox runs live matches for self-serve customers.
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.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.***, in case log output, labels or an error message echo it.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.GAMEYE_MAX_SESSIONS), each with a TTL of at most 4h (GAMEYE_MAX_TTL)Only the beginning is shown; read the rest in the repo