Token Command Center

Free token data: revenue, net flow after emissions, supply/unlock history, catalysts, errors marked

使うべきか

品質と安全性

B
説明の品質
96%
スキーマの完全性
68%
命名の品質
80%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~2,676トークン数(ツール定義)
~837 B一般的なレスポンスサイズ
注意への影響は大きい(128k コンテキストの 2.09%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

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

リモートエンドポイント

https://token-command-center-gamma.vercel.app/mcpstreamable-http

できること

ツール一覧

ツール(16)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢tc_status

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

入力スキーマ

{
  "type": "object",
  "properties": {},
  "required": [],
  "additionalProperties": false
}
🟢tc_list_tokens(query, category, verdict, tier, sort, ...)

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

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Substring of slug, symbol or name."
    },
    "category": {
      "type": "string"
    },
    "verdict": {
      "type": "string",
      "description": "Real, Mid or Theater."
    },
    "tier": {
      "type": "string"
    },
    "sort": {
      "type": "string",
      "enum": [
        "alerts",
        "health",
        "mcap",
        "name",
        "net_flow",
        "ps",
        "revenue",
        "unlock_30d"
      ]
    },
    "descending": {
      "type": "boolean"
    },
    "offset": {
      "type": "integer",
      "minimum": 0
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 100
    }
  },
  "required": [],
  "additionalProperties": false
}
🟢tc_get_token(slug)

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_digest lacks what the user asked for.

入力スキーマ

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Token slug, e.g. geodnet."
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}
🟢tc_get_token_digest(slug)

One token in about 1 KB: latest price, valuation, revenue and flows, 7- and 30-day changes, health score with its six pillar scores and verdict, supply unlocks, lens, and data-quality counts. Prefer this over tc_get_token.

入力スキーマ

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Token slug, e.g. geodnet."
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}
🟢tc_search_tokens(query, limit)

Find slugs by symbol or name before calling tc_get_token_digest.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢tc_alerts(token, severity, limit)

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

入力スキーマ

{
  "type": "object",
  "properties": {
    "token": {
      "type": "string"
    },
    "severity": {
      "type": "string"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    }
  },
  "required": [],
  "additionalProperties": false
}
🟢tc_categories

Token counts per category.

入力スキーマ

{
  "type": "object",
  "properties": {},
  "required": [],
  "additionalProperties": false
}
🟢tc_resolve(query, limit)

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.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 10
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢tc_screen(lens, verdict, tier, category, flow_model, ...)

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": 1000000}, "max": {"ps": 20}}. Fields: alerts, arr (annualized revenue, USD), arr_30d (ARR change over 30 days, %), arr_7d (ARR change over 7 days, %), category, conflicts, date, fdv, flow_model, health (0-100 health score, set when the scorecard is written), health_change, holders_rev (annualized revenue to holders, USD), lens (long, short or no-edge), mcap, name, net_flow (holders revenue minus emissions, USD/yr), nf_yield (net flow / market cap, %), pct_unlocked, price, price_frozen_days, ps (market cap / annualized revenue), scorecard_age_days, stale, symbol, tier, unlock_30d (% of supply unlocking in the next 30 days), verdict (value accrual: Real, Mid or Theater). Tokens with no value for a ranged field are excluded, never counted as zero.

入力スキーマ

{
  "type": "object",
  "properties": {
    "lens": {
      "type": "string"
    },
    "verdict": {
      "type": "string"
    },
    "tier": {
      "type": "string"
    },
    "category": {
      "type": "string"
    },
    "flow_model": {
      "type": "string"
    },
    "stale": {
      "type": "boolean"
    },
    "query": {
      "type": "string",
      "description": "Substring of slug, symbol or name."
    },
    "min": {
      "type": "object",
      "additionalProperties": {
        "type": "number"
      },
      "description": "Lower bounds by numeric field."
    },
    "max": {
      "type": "object",
      "additionalProperties": {
        "type": "number"
      },
      "description": "Upper bounds by numeric field."
    },
    "sort": {
      "type": "string",
      "enum": [
        "alerts",
        "arr",
        "arr_30d",
        "arr_7d",
        "category",
        "conflicts",
        "date",
        "fdv",
        "flow_model",
        "health",
        "health_change",
        "holders_rev",
        "lens",
        "mcap",
        "name",
        "net_flow",
        "nf_yield",
        "pct_unlocked",
        "price",
        "price_frozen_days",
        "ps",
        "scorecard_age_days",
        "stale",
        "symbol",
        "tier",
        "unlock_30d",
        "verdict"
      ]
    },
    "order": {
      "type": "string",
      "enum": [
        "desc",
        "asc"
      ]
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    },
    "fields": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "alerts",
          "arr",
          "arr_30d",
          "arr_7d",
          "category",
          "conflicts",
          "date",
          "fdv",
          "flow_model",
          "health",
          "health_change",
          "holders_rev",
          "lens",
          "mcap",
          "name",
          "net_flow",
          "nf_yield",
          "pct_unlocked",
          "price",
          "price_frozen_days",
          "ps",
          "scorecard_age_days",
          "stale",
          "symbol",
          "tier",
          "unlock_30d",
          "verdict"
        ]
      },
      "maxItems": 12
    }
  },
  "required": [],
  "additionalProperties": false
}
🟢tc_compare(tokens, fields)

Two to six tokens side by side: price, valuation, revenue and its 7/30-day change, holders revenue, net-flow yield, P/S, unlocks, health with six pillar scores, verdict, lens, and any frozen-price or old-scorecard flags. Accepts slugs or unambiguous symbols.

入力スキーマ

{
  "type": "object",
  "properties": {
    "tokens": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "minItems": 1,
      "maxItems": 6
    },
    "fields": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "alerts",
          "arr",
          "arr_30d",
          "arr_7d",
          "category",
          "conflicts",
          "date",
          "fdv",
          "flow_model",
          "health",
          "health_change",
          "holders_rev",
          "lens",
          "mcap",
          "name",
          "net_flow",
          "nf_yield",
          "pct_unlocked",
          "price",
          "price_frozen_days",
          "ps",
          "scorecard_age_days",
          "stale",
          "symbol",
          "tier",
          "unlock_30d",
          "verdict"
        ]
      },
      "maxItems": 18
    }
  },
  "required": [
    "tokens"
  ],
  "additionalProperties": false
}
🟢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.

入力スキーマ

{
  "type": "object",
  "properties": {},
  "required": [],
  "additionalProperties": false
}
🟢tc_get_report(slug)

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

入力スキーマ

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string"
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}
🟢tc_series(slug, metrics, range, interval)

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. Metrics: price, mcap, fdv, ann_fees, ann_revenue, ann_holders_rev, net_flow_usd, ps_ratio, health_score, ann_emissions_usd, circ_supply, total_supply, pct_unlocked, daily_fees, daily_revenue, daily_holders_rev, price_llama (daily_* and price_llama are DefiLlama, years deep; the rest are TCC snapshots).

入力スキーマ

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "description": "Token slug, e.g. geodnet. Use tc_resolve first for a symbol."
    },
    "metrics": {
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "ann_emissions_usd",
          "ann_fees",
          "ann_holders_rev",
          "ann_revenue",
          "circ_supply",
          "daily_fees",
          "daily_holders_rev",
          "daily_revenue",
          "fdv",
          "health_score",
          "mcap",
          "net_flow_usd",
          "pct_unlocked",
          "price",
          "price_llama",
          "ps_ratio",
          "total_supply"
        ]
      },
      "maxItems": 6
    },
    "range": {
      "type": "string",
      "enum": [
        "30d",
        "90d",
        "1y",
        "all"
      ]
    },
    "interval": {
      "type": "string",
      "enum": [
        "1d",
        "1w",
        "1m"
      ]
    }
  },
  "required": [
    "slug"
  ],
  "additionalProperties": false
}
🟢tc_calendar(days, token)

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.

入力スキーマ

{
  "type": "object",
  "properties": {
    "days": {
      "type": "integer",
      "minimum": 0,
      "maximum": 180
    },
    "token": {
      "type": "string",
      "description": "Token slug to filter to."
    }
  },
  "required": [],
  "additionalProperties": false
}
🟢tc_moves(kind)

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.

入力スキーマ

{
  "type": "object",
  "properties": {
    "kind": {
      "type": "string",
      "enum": [
        "movers",
        "momentum"
      ]
    }
  },
  "required": [],
  "additionalProperties": false
}
🟢tc_ledger

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

入力スキーマ

{
  "type": "object",
  "properties": {},
  "required": [],
  "additionalProperties": false
}

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