framebench
Server Details
Estimated game fps for any GPU or Apple Silicon chip, with the limiter and tweaks.
Glama couldn't complete the latest health check. If this server requires authentication, missing or expired test credentials may be the cause. A test profile lets Glama authenticate for health checks and discover tools; it is separate from your personal connections.
If you are the author, claim ownership, then add or update a test profile under Admin → Test Profile.
- Status
- Unhealthy
- Uptime
- 0.0% over 58 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- aistripes/framebench-mcp
- GitHub Stars
- 1
- Server Listing
- framebench MCP server
TDQS
Scored across 3 tools
Each tool has a clear, non-overlapping purpose: check_game checks rig-game compatibility, compare compares hardware components, and recommend_upgrade suggests GPU upgrades. No ambiguity.
Two tools follow verb_noun pattern (check_game, recommend_upgrade), but 'compare' is just a verb, breaking the pattern slightly. Overall consistent and readable.
With 3 tools, the server is focused but covers the core workflows. While slightly low, it's appropriate for the domain of performance benchmarking and upgrade advice.
The tools cover checking compatibility, comparing hardware, and recommending upgrades. Minor gaps exist (e.g., no tool to view rig specs alone), but the main use cases are addressed.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
3 tool updates
- First observed
check_game - First observed
compare - First observed
recommend_upgrade
Related MCP Connectors
Read-only: which local LLMs a GPU or Mac can run - VRAM fit, tokens/sec, model specs.
Can this LLM run on my GPU? VRAM, speed ceiling and what fits instead, for any model and GPU.
Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only.
GPU and LLM inference benchmarks, hardware evidence, deployment recommendations, and launch configs.
Related MCP Servers
- AlicenseAqualityCmaintenanceEnables recording a Wine or macOS program on an Apple silicon Mac and analyzing its GPU usage — GPU milliseconds per frame, frame pacing, FPS and memory — through Instruments' Metal System Trace, and also reads Metal .gputrace captures without Xcode and reports Apple's published GPU family facts. Recording, listing, comparing, and paging through traces and captures are exposed as tools that a shell or an AI coding agent can call directly.8MIT
- AlicenseNot gradedqualityAmaintenanceVendor-neutral local LLM inference benchmark and hardware-config advisor for mlx and llama.cpp. Exposes an MCP tool that measures real tokens/second on your own hardware.15 npmApache 2.0
- AlicenseAqualityAmaintenanceLLM deployment planner: given a model and a GPU, answers will it fit, will it hit your SLO, and what will it cost. Sizes VRAM and KV-cache from the model's real architecture, and labels every number measured, estimated, or unknown.51,576 PyPI2MIT
- AlicenseNot gradedqualityBmaintenanceProvides read-only visibility into local CPU pools and Apple GPU lane usage inside Claude Code and Codex.1Apache 2.0
Glama MCP Gateway
Add one secure layer between your agents and this server.