
framebench
app.framebenchv1.0.1Updated Sep 30, 2026
Estimated game fps for any GPU or Apple Silicon chip, with the limiter and tweaks.
Installation
In SourceWeft
- Open framebench in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"framebench": {
"type": "http",
"url": "https://framebench.app/mcp"
}
}
}README
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:
For clients that only support local (stdio) servers, this repo is a dependency-free bridge:
Or with Docker:
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.
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.
Source: README.md at commit 992755f
Tools
0Version history
1- v1.0.1LatestSep 16, 2026

