Jawz is an MCP server with 22 tools an agent can call, among them get_chapter, get_china_liquidity, get_conditions_history. It answers at https://jawz.ai/api/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 17 October 2026, succeeded.
Live macro data for AI agents: regime, conditions, liquidity, with input provenance. No signup.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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. Inputs: loop_slug, node |
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 |
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 + clas Inputs: lookback_weeks, interval |
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, a |
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_ Inputs: portfolio |
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 Inputs: tickers |
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: nu Inputs: lookahead_days, event_types |
get_financial_conditions | Full financial conditions read: global liquidity (Fed + ECB + BoJ central-bank balance sheets, FX-converted to USD; PBoC included when a fresh Mako-curated publication is available — basis 'g4' vs 'g3'), real yields, HY/IG credit spreads, D Inputs: summary_only |
get_growth_indicators | Growth pillar indicators: industrial production (ISM proxy), consumer sentiment, yield curve, initial claims, plus the Atlanta Fed GDPNow nowcast of the quarter in progress. GDPNow carries its own reference_quarter, the publication date of |
get_inflation_indicators | Inflation pillar indicators: headline + core CPI, headline + core PCE (YoY and MoM), 5Y/10Y breakevens, wage growth. Returns classification (supportive/neutral/headwind). |
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), and the s Inputs: lookback_weeks, interval |
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. Inputs: loop_slug |
get_macro_regime | Get current macro regime (GREEN/YELLOW/RED) with business cycle positioning. The response carries the same values three ways: 'presentation.display_markdown' is a pre-formatted rendering with tables, 'tables' is the structured form of those |
get_prices | Live prices for one or more holdings. Resolves raw tickers (stocks, ETFs, crypto, international listings) and returns price, value, and day change per symbol. Takes symbol + quantity pairs. When a US stock or ETF ticker collides with a cryp Inputs: holdings |
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, Inputs: lookback_weeks, interval |
get_started | Orientation for a new Jawz connection, and for questions about what Jawz is, what it covers, or how it is used. Returns a description of the Jawz Loop, example opening prompts, a one-line live market read drawn from the current data layer, |
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 / modes Inputs: week_ending |
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. Sett Inputs: slug, list_only |
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. |
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 chap Inputs: loop_slug, node, context |
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 Inputs: loop_slug, node, mode_slug, context |
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 rev Inputs: symbol, asset_class, symbol_type, entry_date, thesis, conviction |
Every block below points at https://jawz.ai/api/mcp. Pick your client and copy.
claude mcp add --transport http jawz https://jawz.ai/api/mcp
{
"mcpServers": {
"jawz": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://jawz.ai/api/mcp"]
}
}
}{
"mcpServers": {
"jawz": {
"url": "https://jawz.ai/api/mcp"
}
}
}{
"servers": {
"jawz": {
"type": "http",
"url": "https://jawz.ai/api/mcp"
}
}
}{
"context_servers": {
"jawz": {
"url": "https://jawz.ai/api/mcp"
}
}
}{
"mcpServers": {
"jawz": {
"serverUrl": "https://jawz.ai/api/mcp"
}
}
}{
"mcpServers": {
"jawz": {
"url": "https://jawz.ai/api/mcp"
}
}
}name: Jawz
version: 0.0.1
schema: v1
mcpServers:
- name: Jawz
type: streamable-http
url: https://jawz.ai/api/mcp{
"mcpServers": {
"jawz": {
"httpUrl": "https://jawz.ai/api/mcp"
}
}
}{
"mcpServers": {
"jawz": {
"type": "http",
"url": "https://jawz.ai/api/mcp"
}
}
}{
"mcpServers": {
"jawz": {
"url": "https://jawz.ai/api/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fjawz.ai%2Fapi%2Fmcp&type=streamable_http&id=jawz&name=Jawz
It answered our last check on 17 October 2026 in 198 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by jawz.ai and served from jawz.ai, the vendor's own domain: https://jawz.ai/api/mcp.
22, as returned by the server's own tools/list on 8 September 2026: get_chapter, get_china_liquidity, get_conditions_history, get_data_health, get_drift_alerts, get_etf_profile, get_event_calendar, get_financial_conditions, and 14 more.
It answered our last check on 17 October 2026 in 198 ms. Over 10 checks since 4 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://jawz.ai/api/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: ai.jawz. Endpoint host: jawz.ai. ARD identifier: urn:air:ai.jawz:mcp:jawz.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.