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
Chalk Labs
Need help deploying TokenMark?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
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.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo 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_configstokenmark_recommendtokenmark_searchtokenmark_submission_status
Write 2 · Create, change, send or run things.
tokenmark_submittokenmark_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_configsList 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_hardwareThe 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_recommendRecommend 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_searchSearch 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_statusCheck a TokenMark submission: queued, extracting, extracted (awaiting review), no_configs, failed, approved or rejected — with the extracted configs and reviewer flags.
tokenmark_submitSubmit 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_resultSend 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…
Signals
- Stars
- 0
- 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
- Packages
- npm @altronis/tokenmark-mcp
- License
- MIT
- Repository
- github.com/sypherin/tokenmark-mcp
- Website
- tokenmark.app
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
More from sypherin
- 0.577score
Altronis MCP
sypherin
Ask the Altronis AI consultant, estimate AI cost (cloud vs own box), SG AI events, news.
ConnectorAFreshness: ALocal↓ 32/wkClaude Code +5 - 0.541score
Sgdata MCP
sypherin
Singapore government data for AI agents: ACRA, HDB, COE, URA, SingStat, MAS, IRAS.
ConnectorBFreshness: BLocal↓ 38/wkClaude Code +5 - 0.427score
gsd-help
sypherin
Execution-first workflow for GSD command `help`.
SkillDFreshness: D★ 1Claude Code +9 - 0.427score
gsd-list-phase-assumptions
sypherin
Execution-first workflow for GSD command `list-phase-assumptions`.
SkillDFreshness: D★ 1Claude Code +9 - 0.427score
gsd-plan-milestone-gaps
sypherin
Execution-first workflow for GSD command `plan-milestone-gaps`.
SkillDFreshness: D★ 1Claude Code +9 - 0.427score
gsd-progress
sypherin
Execution-first workflow for GSD command `progress`.
SkillDFreshness: D★ 1Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get TokenMark running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
TokenMark MCP server. Agent Mart. https://agentmart.dev/connectors/sypherin-tokenmark-mcp (last updated 2026-10-24)