Token Command Center

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 其他

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://token-command-center-gamma.vercel.app/mcp

claude mcp add --transport http token-command-center https://token-command-center-gamma.vercel.app/mcp

{
  "mcpServers": {
    "token-command-center": {
      "url": "https://token-command-center-gamma.vercel.app/mcp"
    }
  }
}

{
  "servers": {
    "token-command-center": {
      "type": "http",
      "url": "https://token-command-center-gamma.vercel.app/mcp"
    }
  }
}

https://token-command-center-gamma.vercel.app/mcp

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月8日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• tc_status

  Freshness, size and source-agreement stats of the token universe. Call first; quote generated_at.

• tc_list_tokens

  Page through scored tokens with optional filters. Sorts: health, mcap, revenue, net_flow, ps, unlock_30d, alerts, name.

• tc_get_token

  One token's full scorecard (about 8 KB): six pillar scores, the stat grid with a provenance tag per figure, ARR change over 1D/7D/30D/1Y, 30-point history, revenue basis, analyst facts, lens, links, gaps, and this token's alerts and source conflicts. Use only when tc_get_token_di

• tc_get_token_digest

  One token in about 2 KB: latest price, valuation, revenue and flows, 7- and 30-day changes, revenue_figures (the 30-day annualized pace AND the real last-12-months revenue, P/S on both, one-line notes on how each is formed), health score with its six pillar scores and verdict, su

• tc_search_tokens

  Find slugs by symbol or name before calling tc_get_token_digest.

• tc_alerts

  Recent threshold alerts (revenue deterioration, emission acceleration, unlock cliffs, flow flips).

• tc_categories

  Token counts per category.

• tc_resolve

  Turn a symbol, $cashtag, name or slug into Token Command Center slugs. Returns exact (one slug) or ambiguous=true with every candidate when tokens share a symbol (e.g. POL); never guess between them. Call before a digest when the user names a token.

• tc_screen

  Screen the whole Book (all scored tokens) and get compact ranked rows. Filters: lens (long, short, no-edge), verdict (Real, Mid, Theater), tier, category, flow_model (comma-separated for several), stale, query; numeric ranges via min/max objects, e.g. {"min": {"health": 60, "arr"

• tc_compare

  Two to six tokens side by side: price, valuation, revenue and its 7/30-day change, revenue_figures per token (30-day annualized pace and real last-12-months revenue, P/S on both), holders revenue, net-flow yield, P/S, unlocks, health with six pillar scores, verdict, lens, and any

• tc_brief

  The whole Book in about 1.5 KB: freshness and caveats, verdict and lens mix, biggest 30-day revenue movers, highest health, latest high alerts, plus a plain-text version. Use for market-wide questions.

• tc_get_report

  Newest markdown scorecard for a slug (clipped). Long; prefer tc_get_token unless the user asks for the write-up.

• tc_series

  One token's history as chartable series from TCC's daily snapshots (since 2026-06-09). Each metric returns `summary` {first, last, change_pct, min, max} first — answer trend questions from it — then at most 60 points (weekly by default). Frozen price feeds are null, not flat. Met

• tc_calendar

  Upcoming dated catalysts (unlocks, emission steps, votes, launches) across the Book, soonest first, at most 20. Optional token slug and horizon in days (default 30, max 180). Text is analyst notes.

• tc_moves

  Biggest movers: kind=movers ranks 30-day revenue change against price change (divergence); kind=momentum ranks a 14-day composite of revenue, net-flow yield and health changes. Up to 8 up and 8 down. Rows marked base_effect started from almost zero.

• tc_ledger

  Prediction ledger tallies: open and graded call counts, next grading date, calls by side. Counts only; individual calls are not published.

• tc_projects

  Revenue-earning projects with NO token (wallets, trading bots, apps, launchpads, stablecoin issuers, listed companies): yearly revenue on the 30-day pace, last 12 months, 30-day change, category, chains, token_status (none, points, announced, public_equity with a stock ticker, la

• tc_get_project

  One coinless project by slug (from tc_projects): revenue figures, products, chains, token_status, source link and date.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日

• ! 注意

  作者与仓库一致

  发布者（ysgjay）不是仓库所有者（ysgjay）；可能是其他人代为上架的

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 648 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 18 个工具描述，未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

• 星标数多于此分类中其他 18652 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 18652 个服务器的 57% 更新
• 基础检查结果等于或优于此分类中其他 18652 个服务器的 36%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

仓库中没有找到 README