@altronis/tokenmark-mcp

@altronis/tokenmark-mcp

An MCP server that gives Claude (and other agents) real local-LLM benchmark data + hardware-aware model recommendations from TokenMark.

Ask "what should I run on a Strix Halo for coding?" and the agent answers from measured configs (decode tok/s, quant, backend), each with a source link. It never invents numbers.

Add to Claude Code

claude mcp add tokenmark -- npx -y @altronis/tokenmark-mcp

Add to any MCP client

Run the server over stdio:

npx -y @altronis/tokenmark-mcp

Or in a client config:

{
  "mcpServers": {
    "tokenmark": {
      "command": "npx",
      "args": ["-y", "@altronis/tokenmark-mcp"]
    }
  }
}

Tools

• tokenmark_recommend: { hardware, tasks?, prefer?, limit? } → ranked model + best-config picks (5 by default, 10 max) with measured tok/s + why.
• tokenmark_configs: { model?, hardware?, limit? } → tracked benchmark configs, fastest first (25 by default, 50 max; matched gives the full count), with the run mode (speculative: true for MTP/DFlash/draft-model runs).
• tokenmark_hardware: { platform? } → the hardware catalogue (Strix Halo, Gorgon Halo, DGX Spark, Mac Max/Ultra). With a platform: chip specs with a source per value, the boxes that ship it, Singapore prices.
• tokenmark_search: { term } → matching models/configs.
• tokenmark_submit: { repo, source?, note? } → queues a GitHub/Hugging Face repo with benchmark numbers for human review.
• tokenmark_submission_status: { id } → where a submission is.

A speed someone measured themselves, or hardware missing from the catalogue, goes through the signed-in form at https://tokenmark.app/submit.

Data is pulled live from https://tokenmark.app (override with TOKENMARK_URL). Zero runtime dependencies.

The same data in your terminal

The CLI lives in cli/ of this repo:

npx @altronis/tokenmark-cli recommend --hardware "Strix Halo" --tasks coding

The files in bin/ are the published builds, made from the TokenMark tracker that runs https://tokenmark.app.

MIT licensed. Data aggregated from public community benchmarks with attribution.