Jawz

安装

选择你使用的 AI 应用，然后复制设置。

通过 2/3 项检查 · 你的提问会经过开发者的服务器（jawz.ai） · ✓ 命令已检查 2026年11月13日

claude mcp add --transport http --scope user jawz https://jawz.ai/api/mcp

{
  "mcpServers": {
    "jawz": {
      "url": "https://jawz.ai/api/mcp"
    }
  }
}

{
  "servers": {
    "jawz": {
      "type": "http",
      "url": "https://jawz.ai/api/mcp"
    }
  }
}

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档，检查于 2026年11月10日。

通过互联网连接，适用于

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月15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。

• get_started

  Orientation for a new Jawz connection, and for questions about what Jawz is, what it covers, or how it is used. Returns where to start (start_here: get_dashboard, the Jawz Dashboard, which gives the state of the world in six readings), a description of the Jawz Loop, example open

• get_dashboard

  The Jawz Dashboard: where the world stands, in six readings. Regime (GREEN / YELLOW / RED: consumer mood and money together), Money (PLENTIFUL / STEADY / SCARCER: the Fed, ECB, Bank of Japan and PBoC balance sheets in dollars), Business cycle (SPRING / SUMMER / FALL / WINTER: gro

• get_world_brief

  Read the Jawz World Brief — the weekly Mako-bylined market read published at jawz.ai/brief. Returns the latest edition by default, or a specific one by slug (YYYY-MM-DD). Every claim in a brief traces to a Jawz tool read from its week. Setting list_only:true returns the available

• get_prices

  Live prices for one or more holdings, and the answer shows its work. Resolves raw tickers (stocks, ETFs, crypto, international listings) and returns price, value, and day change per symbol, plus per holding: what it resolved to (asset: type, exchange, ISIN, provider id; asset.isi

• get_macro_regime

  The current macro regime (GREEN / YELLOW / RED) and business cycle (SPRING / SUMMER / FALL / WINTER) with the evidence behind them: the detail behind the Regime and Business cycle cards of get_dashboard. The regime combines consumer mood (U Michigan sentiment) with money (the glo

• get_regime_history

  Macro regime read-history — a timeseries of how the regime and its drivers have moved over recent weeks. Returns one row per sample date (regime color, business-cycle quadrant, growth + inflation class, consumer sentiment, global liquidity, dominant risk, confidence) plus the tra

• get_liquidity_history

  Global-liquidity read-history — a timeseries of central-bank liquidity over recent weeks. Returns one row per sample date with the full decomposition (Fed / ECB / BoJ / PBoC in USD trillions), the active basis (g4/g3/us_fallback), the supportive/neutral/draining classification of

• get_conditions_history

  Financial-conditions read-history — a timeseries of how conditions have moved over recent weeks. Returns one row per sample date with the composite (loose/neutral/tight), direction (easing/stable/tightening), and every pillar's value + class: 10Y real yield, HY/IG credit spreads,

• get_indicator_history

  Any card of the Jawz Dashboard (get_dashboard), or one of its rows, over time, each at its own print dates: the weekly reads for the weekly cards, the release dates of the series behind a row for the rest. With no arguments it returns the catalogue: every card and indicator key w

• get_data_health

  Freshness status for every data source Jawz reads: per-source release date, latest observation date, expected cadence, age in days, and whether any source is stale or unavailable. Also reports whether the ingestion pipeline is keeping up, and carries plain-language notices when a

• get_financial_conditions

  Full financial conditions read, the detail behind the Money and Financial conditions cards of get_dashboard (and the regime's Money row): global liquidity (Fed + ECB + BoJ central-bank balance sheets, FX-converted to USD; PBoC included when a fresh Mako-curated publication is ava

• get_growth_indicators

  Growth pillar indicators, the detail behind the Business cycle card of get_dashboard (its Growth, Jobs and Investment rows) and the regime's Mood row: industrial production (IPMAN, the ISM proxy), consumer sentiment (U Michigan), the 2s10s yield curve, initial claims, plus the At

• get_inflation_indicators

  Inflation pillar indicators, the detail behind the Prices row of the Business cycle card of get_dashboard: headline + core CPI, headline + core PCE (YoY and MoM), 5Y/10Y breakevens, wage growth. Returns classification (supportive/neutral/headwind).

• get_event_calendar

  Scheduled US macro events (FOMC + CPI + NFP + PCE) with dates and consensus. Consensus values are Mako-curated and arrive with provenance (source, source_url, published_at, age_days). An event with no curated consensus carries consensus: null, which means the value is not publish

• get_weekly_data_releases

  Past week's data releases with H.4.1 net liquidity update. Anchored to Friday — most current when run Friday morning or later. Each release classifies actual vs consensus where BOTH are on file (both Mako-curated): `surprise` is hot / modestly hot / in-line / modestly cool / cool

• get_etf_profile

  ETF look-through for Chapter 2 Mode 2.2 (Concentration Check). Given ETF ticker(s), returns each fund's top holdings with weights so the AI can overlay them with the user's direct positions and surface hidden single-name concentration. Each profile carries source='live' (Vanguard

• score_position_drift

  Score how a single position's regime fit has drifted since entry. Returns regime_at_entry, regime_now, fit_score_at_entry, fit_score_now, drift_score (now - entry), drift_label (improved/stable/deteriorated/review_now), explanation, and review_questions. No buy/sell recommendatio

• get_drift_alerts

  Portfolio-wide drift scan. Iterates Decision Records, calls score_position_drift on each, returns flagged positions with severity + why_flagged + review_questions. Flag types: drift_severe (review_now), drift_meaningful (deteriorated), fit_low_structural (score ≤2 but unchanged s

• list_loops

  List all available Jawz loops. Returns loop metadata, access status, and which loop is currently active for this user. Every published loop is free and open. Deprecated loops you are entitled to are included with deprecated: true.

• get_loop

  Get metadata and chapter manifest for a loop by slug. Returns loop info and the list of chapter nodes with titles — no chapter content. All active loops are navigable by anyone.

• get_chapter

  Fetch the full content of a chapter by loop slug and node. Loops not marked open require entitlement; every published loop is currently open and free. Does not log an invocation; run_chapter is the variant that runs the framework and logs.

• run_chapter

  Returns a chapter's published framework text: its modes, the questions each asks, and the output format it describes. The framework is reference material for the assistant to apply as it judges appropriate. Repeat calls return the same chapter content — the text is not regenerate

• run_mode

  Returns the published framework text for one named mode within a chapter, rather than the full chapter. Repeat calls return the same mode content — the text is not regenerated per call. Each call appends one usage-counter row and returns a new invocation_id used for feedback.

• get_china_liquidity

  Read the latest Mako-curated PBoC balance-sheet publication (CNY trillions + source URL + as_of_month + note). Public read — suitable for surfacing directly when explaining the China leg of global liquidity. The same value is also embedded in get_financial_conditions.pillars.glob

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16日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（jawz.ai）与代码对应起来

• … 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 930 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 24 个工具描述，未发现针对 AI 的隐藏指令

我们检查什么 → · JSON

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与“其他”中的其他服务器比较i

• 星标数多于此分类中其他 19963 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 19963 个服务器的 26% 更新
• 基础检查结果等于或优于此分类中其他 19963 个服务器的 45%

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。

功能相近的其他选择

同一分类、其他作者、命令已通过检查。官方的排在前面，再按星标排序。

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

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.

作者：koala73·广泛使用·★ 9.1万·前天更新

在云端运行✓ 服务方 · worldmonitor.app

接入方法

openstatus

Manage monitors, status pages, incidents and maintenances in your openstatus workspace.

作者：openstatusHQ·广泛使用·★ 9269·2个月前更新

在云端运行✓ 服务方 · openstatus.dev

接入方法

Oh My Posh Validator

Validate oh-my-posh configurations and segment snippets against the official schema.

作者：JanDeDobbeleer·广泛使用·★ 2.4万 整个仓库的星标·27天前更新

在云端运行✓ 服务方 · ohmyposh.dev

接入方法

Strata

MCP server for progressive tool usage at any scale (see https://klavis.ai)

作者：Klavis-AI·正在增长·★ 5827·14个月前更新

在云端运行仓库已归档✓ klavis.ai

接入方法

Jitsu

Manage Jitsu data pipelines: destinations, streams, connections, functions, live events.

作者：jitsucom·广泛使用·★ 5135·4个月前更新

在云端运行✓ 服务方 · jitsu.com

接入方法

• World Monitor — 在云端运行，无需安装 · 不需要密钥
• openstatus — 在云端运行，无需安装 · 不需要密钥
• Oh My Posh Validator — 在云端运行，无需安装 · 不需要密钥
• Strata — 在云端运行，无需安装 · 不需要密钥
• Jitsu — 在云端运行，无需安装 · 不需要密钥

作者的 README

仓库中没有找到 README