Token Command Center
Free token data: revenue, net flow after emissions, supply/unlock history, catalysts, errors marked
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"token-command-center": {
"url": "https://token-command-center-gamma.vercel.app/mcp"
}
}
}遠端端點
https://token-command-center-gamma.vercel.app/mcpstreamable-http它能做什麼
工具清單
工具（16）
🟢tc_status
Freshness, size and source-agreement stats of the token universe. Call first; quote generated_at.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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).
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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).
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"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.
輸入結構描述
{
"type": "object",
"properties": {},
"required": [],
"additionalProperties": false
}社群
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