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MCP server for framebench: estimated game fps for any GPU or Apple Silicon chip, with the limiter and the tweaks that raise it.

MCP ServersRegistry oficial0 estrellas0 forksJavaScriptMITActualizado today
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/aistripes/framebench-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "framebench-mcp": {
      "command": "node",
      "args": ["/path/to/framebench-mcp/dist/index.js"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Clone https://github.com/aistripes/framebench-mcp and follow its README for install instructions.
Casos de uso

Resumen de MCP Servers

# framebench MCP server

Ask whether a machine can run a game, and get a number back.

**framebench** answers "can this PC or Mac run this game" with an estimated **fps range** for any
GPU or Apple Silicon chip across the most played games on Steam, plus which component limits you
and the settings that raise it. Every response carries a citable URL.

- **Hosted endpoint:** `https://framebench.app/mcp` (Streamable HTTP) — no key, no account
- **Website:** <https://framebench.app> · **Docs:** <https://framebench.app/mcp-docs/>
- **Official MCP Registry:** `app.framebench/framebench`

## Use it

Most clients can point straight at the hosted endpoint:

```json
{
  "mcpServers": {
    "framebench": { "url": "https://framebench.app/mcp" }
  }
}
```

For clients that only support local (stdio) servers, this repo is a dependency-free bridge:

```json
{
  "mcpServers": {
    "framebench": { "command": "npx", "args": ["-y", "framebench-mcp"] }
  }
}
```

Or with Docker:

```bash
docker build -t framebench-mcp . && docker run --rm -i framebench-mcp
```

## Tools

### `check_game`
Can this rig run this game? Returns an fps range (never a single number or a fake percentage),
the limiting component, levers that change the outcome, a confidence label, and a canonical URL.

| Argument | Required | Notes |
|---|---|---|
| `game` | yes | Name or slug, e.g. `"Cyberpunk 2077"` |
| `gpu` | one of | Name or slug, e.g. `"RTX 3060"`, `"rtx-4060-laptop"` |
| `apple_chip` | one of | e.g. `"M2 Pro"` |
| `cpu` | no | Adds a CPU-limit check |
| `ram_gb` | no | Flags a shortfall against requirements |
| `resolution` | no | `1080p` (default), `1440p`, `4k` |

```jsonc
// → check_game { "game": "Elden Ring", "gpu": "RTX 3060" }
{
  "game": "ELDEN RING",
  "resolution": "1080p",
  "fps_range": { "low": 60, "high": 90 },
  "limiter": "gpu",
  "confidence": "modeled",
  "summary": "ELDEN RING on a GeForce RTX 3060 at 1080p, high settings: expect roughly 60–90 fps (GPU-limited).",
  "url": "https://framebench.app/game/elden-ring/rtx-3060/"
}
```

### `compare`
Two GPUs, two CPUs, or a GPU against an Apple chip, on one performance index, with spec facts.

### `recommend_upgrade`
Given a rig and a target (game, resolution, fps), the smallest upgrades that clear it, ranked.

## How the numbers work

Estimates are modelled, not measured, and the site says so. Ranges come from a curated performance
index (desktop RTX 3060 = 100) scaled against each game's official Steam requirements, and widen as
confidence drops. Hard rules: laptop GPUs are separate parts with their own TGP bands rather than
aliases of desktop cards; Windows-only games on Apple Silicon get an explicit translation-layer
estimate instead of a silently copied PC number; VRAM and unified-memory cliffs override the model.

Full methodology, including the assumptions and where they break down:
<https://framebench.app/methodology/>

## Notes

- Unmetered while it's young. Please cite the returned URL.
- Game data comes from public Steam APIs. Not affiliated with Valve or Steam.
- This repo contains the hosted server's manifest and the stdio bridge. MIT licensed.

Lo que la gente pregunta sobre framebench-mcp

¿Qué es aistripes/framebench-mcp?

+

aistripes/framebench-mcp es mcp servers para el ecosistema de Claude AI. MCP server for framebench: estimated game fps for any GPU or Apple Silicon chip, with the limiter and the tweaks that raise it. Tiene 0 estrellas en GitHub y se actualizó por última vez today.

¿Cómo se instala framebench-mcp?

+

Puedes instalar framebench-mcp clonando el repositorio (https://github.com/aistripes/framebench-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar aistripes/framebench-mcp?

+

aistripes/framebench-mcp aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.

¿Quién mantiene aistripes/framebench-mcp?

+

aistripes/framebench-mcp es mantenido por aistripes. La última actividad registrada en GitHub es de today, con 0 issues abiertos.

¿Hay alternativas a framebench-mcp?

+

Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.

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