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TokenMark

Measured local-LLM speeds and model picks for Strix Halo, DGX Spark, Mac and GPU cards.

Connector by sypherin · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/sypherin-tokenmark-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Measured local-LLM speeds and model picks for Strix Halo, DGX Spark, Mac and GPU cards.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
4 read · 2 write · 0 delete · 1 not yet classified
Secrets
None asked for
Install scripts
Not scanned yet
Runs as
Node.js package

Tools by what they do 7

Read from the source code; the running server may list different tools.

Read 4 · Look things up without changing anything.

  • tokenmark_configs
  • tokenmark_recommend
  • tokenmark_search
  • tokenmark_submission_status

Write 2 · Create, change, send or run things.

  • tokenmark_submit
  • tokenmark_submit_result

Not yet classified 1 · We could not tell from the name and description.

  • tokenmark_hardware

Files it touches

  • Any path the agent passes to its tools

Tools (7)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • tokenmark_configs

    List tracked benchmark configs, optionally filtered by model and/or hardware. Returns measured decode tok/s, quant, backend, run mode (speculative=true for MTP/DFlash/draft-model runs), author, and source. Reads one lane: the AI boxes, or the GPU cards when cards=true or hardware names a card; `other_lane` counts what the same filters match in the other lane.

  • tokenmark_hardware

    The TokenMark hardware catalogue: unified-memory platforms for local LLMs (AMD Strix Halo, AMD Gorgon Halo, NVIDIA DGX Spark, Apple M Max / M Ultra), plus the GPU cards with measured runs (gpu_cards: RTX 5090, RTX PRO 6000), which rank in their own lane. Without platform: one row per platform (memory, bandwidth, box count, tracked configs) and one per card. With platform: chip specs with a source link per value, the boxes that ship it, Singapore prices, and what no source states; for a card, its VRAM and bandwidth with sources and its tracked config count. Specs only, no speed numbers; use tok…

  • tokenmark_recommend

    Recommend the best local-LLM model + config for given hardware and tasks, from real tracked benchmarks. Returns ranked picks with measured tok/s and a source link. Never invents numbers. config.speculative=true means the tok/s came from speculative decoding (MTP, DFlash, a draft model), not a plain run of the same quant; say so when quoting it. AI boxes (unified memory, up to 128 GB+) and GPU cards (own VRAM) are separate lanes: `lane` says which one the picks came from; never present a card pick and a box pick as one ranking.

  • tokenmark_search

    Search the tracker for models/configs matching a term (model name, quant, backend, author). AI-box matches are models/matches; GPU-card matches, when there are any, come apart under gpu_cards.

  • tokenmark_submission_status

    Check a TokenMark submission: queued, extracting, extracted (awaiting review), no_configs, failed, approved or rejected — with the extracted configs and reviewer flags.

  • tokenmark_submit

    Submit a GitHub or Hugging Face repo whose README/model card contains local-LLM benchmark numbers (tok/s on Strix Halo, DGX Spark, Mac, etc.) to TokenMark. Configs are extracted on the tracker, then a human reviews before anything goes live. Returns a submission id to poll with tokenmark_submission_status. A speed the user measured themselves (no repo) goes through tokenmark_submit_result; hardware the catalogue is missing goes through the signed-in form at https://tokenmark.app/submit.

  • tokenmark_submit_result

    Send a local-LLM speed the user measured themselves to TokenMark's review queue, under their account. Pass raw llama-bench output (-o json, jsonl, csv or the markdown table) or vllm bench serve output as bench_output and it is read directly; typed fields override what it says. Needs a one-time sign-in on this machine: the user runs `npx @altronis/tokenmark-cli login` in a terminal and approves the code in their browser (or TOKENMARK_TOKEN is set). Call it with dry_run=true first: that returns a one-line summary and a confirm code. Show the user the summary and get their ok, then call again wit…

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Stars
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Forks
0
Open issues
0
Weekly downloads
43
Last commit
Oct 19, 2026 (11 days ago)
Last release
Oct 23, 2026 (7 days ago)
Last package publish
Oct 19, 2026 (11 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.sypherin/tokenmark-mcp
Version
0.4.1
Auth
No auth
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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TokenMark MCP server. Agent Mart. https://agentmart.dev/connectors/sypherin-tokenmark-mcp (last updated 2026-10-24)