Isoba — Dollar & Crisis Index

io.github.nickarstrong由 GitHub 账号 nickarstrong 发布v0.5.1更新于 Nov 7, 2026

Dollar index, crisis meter, market shock, recession risk since 1990; your money in your currency.

已验证Streamable HTTP可网页运行金融数据与分析

概览

AI 生成的概览

Isoba 是美元体系与金融压力的每日晴雨表,让助手读取当前与历史指数、比较历史时期,并查询汇率与资产价格。

可以做什么
  • 读取当日的美元指数、危机计、市场冲击、市场异常、市场顶部与衰退风险,并附数据日期
  • 查询 1990 年以来任一工作日的同类读数,以及两个日期之间的变化
  • 找出与某日最相似的历史日期及其后 12 个月发生的情况
  • 查看各指标距下一区间边界多少点、哪些传感器最接近触发
  • 获取市场隐含预期(利率路径、盈亏平衡通胀、收益率)与月度均值趋势
  • 查看逐日时点回测记录,并把美元换算为指定货币,同时给出黄金、布伦特原油、比特币与现金通胀
适用场景
适合在用户询问美元体系或金融压力现状、今天与 2008 或 2000 年是否相似、自某日起有何变化,或某货币、黄金、原油、比特币的价格及现金购买力损失时使用。
运行要求
远程 streamable HTTP 端点;未声明任何软件包、账户、API 密钥或环境变量。需要能访问该托管服务的网络。
安装前请注意
仅做只读查询,但读数是金融指标与历史频率,并非预测或投资建议;服务器本身要求助手以历史方式呈现,并说明这不构成投资建议。数据每日更新一次,来自公开官方数据。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Isoba — Dollar & Crisis Index,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.nickarstrong%2Fisoba/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "isoba-dollar-crisis-index": {
      "type": "http",
      "url": "https://isoba.lokio.org/mcp"
    }
  }
}

工具

9

get_current_readings

Isoba: today's readings

Today's readings with the data date: Dollar System Index (where the dollar system stands and what it is made of), Crisis meter (stress already present in credit and funding, four sensors with week-ago and month-ago values), Market shock (a hit to markets that does not go through credit: Treasury turbulence, a policy-uncertainty jump, an oil collapse, a jump in financial stress — with what followed such shocks since 1990), market anomalies (how many of 18 public series made an unusual two-week move), market-top risk and US recession risk (how often an S&P 500 bear market or a US recession followed the same zone since 1990, with the number of independent episodes behind each number), what changed this week, and a link to the public daily record. Say the data date and credit "Isoba (LOKIO)". Describe readings as where things stand now and as history ("in similar periods since 1990, X happened in N of M cases"), never as a forecast, a signal, or advice to buy or sell. If someone asks what to do with their own money, give the readings and say that this is not investment advice.

无需输入参数。

get_readings_on_date

Isoba: readings on a date

What Isoba showed on any working day since 1990-01-01: the dollar index, crisis meter, market shock, market-top and recession risk with zones, the market-anomalies share, every sensor, the eight filters (since 2006), the yield curve and the four credit inputs — computed point-in-time from data published by that day. Use for "what did it show before 2008 / on the day of COVID?".

输入参数date必填

get_changes_since

Isoba: what changed since a date

What moved between two dates and why: each instrument including market shock (from → to, zone change), the market-anomalies share, the sensors that moved most and any that switched on or off, and the filters. Use when the user asked before ("since last week / since I last checked") or asks why a reading changed.

输入参数tosince必填

find_similar_days

Isoba: similar days in history

Days since 1990 when the 14 sensors of the crisis meter, market-top risk and recession risk stood closest to a given day (default: today), at least half a year apart and at least a year before the given day, and what followed within 12 months: the crisis meter peak, a US recession (NBER), an S&P 500 bear market, the dollar index. History, not a forecast — always show the spread of outcomes.

输入参数datecount

what_to_watch

Isoba: what is closest to changing

How many points each instrument is from the next zone boundary up or down, which sensors are closest to switching on or off (threshold 80), and the freshest and stalest inputs. Use for "what would change the picture?".

无需输入参数。

get_expectations

Isoba: 12-month expectations

What markets price now (Fed rate path from the 2-year Treasury yield, 5-year breakeven inflation, yields) and what happened over the next 12 months after the 10 days since 1990 most similar to today (same 14 sensors as find_similar_days, at least half a year apart), with the number of distinct cycles behind them: US dollar, US stocks (market value of companies, Fed Z.1), 10-year Treasury return, Fed rate, core inflation, unemployment, WTI oil, yield curve, corporate bond spread, cash vs inflation, M2 money growth, and the crypto backdrop (dollar and M2 — there is no open crypto price history since 1990). Report counts ("rose in 9 of 10"), the median and the range, and how many cycles stand behind them. History and market prices, not a forecast. Say the data date and credit "Isoba (LOKIO)". Describe readings as where things stand now and as history ("in similar periods since 1990, X happened in N of M cases"), never as a forecast, a signal, or advice to buy or sell. If someone asks what to do with their own money, give the readings and say that this is not investment advice.

无需输入参数。

get_monthly_history

Isoba: monthly history

Monthly averages of one or several instruments between two months (DSI since 2006, the others since 1990), with the zone of each month: dollar index, crisis meter, market shock, market anomalies, market-top and recession risk. Use for trends and to see what the instruments showed around past events.

输入参数tofrominstrumentinstruments

get_track_record

Isoba: tested on history

How Isoba behaved when run point-in-time over every working day since 1990 (only data published by each day, checked for look-ahead). Default section "summary" is short; ask for a section (crisis_events, recessions, market_tops, false_alarms, by_year, methods, all) or one event (gulf, ltcm, dotcom, sept11, worldcom, bnp, lehman, euro, downgrade, china, oil2016, q4_2018, covid, bear2022, svb, tariffs — or its year). Call it before claiming reliability.

输入参数eventsectionto_yearfrom_year

get_money

Isoba: money in your currency

The "Your money" card of the Isoba app for one currency: what 1 US dollar costs in it (for USD — what 1 euro costs), gold (US dollars per troy ounce, and per gram in the currency), Brent oil and bitcoin in US dollars, and cash — inflation and how much buying power it lost over 1 and 5 years. For each: the price with its date and source, the change over a month and a year, and what happened over the next month (for cash — the next year) in similar past moments: number of cases since when, the usual outcome, 1 in 10 worse than, the worst and the best; the risk for someone who holds it (bad outcomes now vs all days), and for the currency "wait a week?" (how often the rate was higher a week later in similar moments vs on all days). History, not a forecast. Say the data date and credit "Isoba (LOKIO)". Describe readings as where things stand now and as history ("in similar periods since 1990, X happened in N of M cases"), never as a forecast, a signal, or advice to buy or sell. If someone asks what to do with their own money, give the readings and say that this is not investment advice.

输入参数currency

版本历史

6
  1. v0.5.1最新Nov 7, 2026
  2. v0.5.0Nov 4, 2026
  3. v0.4.0Nov 4, 2026
  4. v0.3.0Oct 20, 2026
  5. v0.2.0Oct 20, 2026
  6. v0.1.0Oct 16, 2026

评分

已满足适用检查项的 83%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

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  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分

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  • 许可证不适用

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