Isoba — Dollar & Crisis Index

io.github.nickarstrongPublished by GitHub account nickarstrongv0.5.1Updated Nov 7, 2026

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

VerifiedStreamable HTTPWeb executableFinanceData & Analytics

Overview

AI-generated overview

Isoba is a daily barometer of the US dollar system and financial stress, letting an assistant read current and historical index values, compare past periods…

What you can do
  • Read today's dollar index, crisis meter, market shock, market anomalies, market-top and recession risk, with the data date
  • Look up the same readings for any working day since 1990, and what changed between two dates
  • Find historical days most similar to a given day and what followed within 12 months
  • See how far each instrument is from its next zone boundary and which sensors are closest to switching
  • Get market-implied expectations (rate path, breakeven inflation, yields) and monthly averages for trends
  • Check the point-in-time track record, and convert the dollar into a chosen currency alongside gold, Brent oil, bitcoin and cash inflation
When to use it
Useful when someone asks where the dollar system or financial stress stands, how today compares with 2008 or 2000, what changed since a past date, or what a currency, gold, oil or bitcoin costs and how much cash buying power has eroded.
Requirements
Remote streamable HTTP endpoint; no package, account, API key or environment variable is declared. Network access to the hosted service is needed.
Before you install
Read-only lookups, but the readings are financial indicators and historical frequencies, not forecasts or investment advice; the server itself asks assistants to present them as history and to state that this is not investment advice. Data is once a day and built from public official sources.

Installation

In SourceWeft

  1. Open Isoba — Dollar & Crisis Index in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.nickarstrong%2Fisoba/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

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

Tools

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.

Takes no parameters.

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?".

Parametersdaterequired

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.

Parameterstosincerequired

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.

Parametersdatecount

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?".

Takes no parameters.

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.

Takes no parameters.

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.

Parameterstofrominstrumentinstruments

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.

Parameterseventsectionto_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.

Parameterscurrency

Version history

6
  1. v0.5.1LatestNov 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

Score

83% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.