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io.github.jbrand0n/market-intelligence-mcp

NPM · @BULLRUNDATA/MARKET-INTELLIGENCE

Recession probability, capital rotation scoring, and economic data API

0 this week 83 Trust /100

Last scanned (2 hours ago)

Scores higher than 77% of npm servers

Category Finance and Payments

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security98
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 30 of 92 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency39
Schema Quality & AI Usability74
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 1374 tokens (~72/item across 19 items; 19 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 19 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 19 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 4 Nov 26 +1
    • Stability: 0.97 → pass security
  • 2 Nov 26 −1
    • Stability: pass → 0.93 functional
  • 27 Oct 26 +1
    • Stability: 0.97 → pass security
  • 26 Oct 26 −1
    • Stability: pass → 0.97 functional
  • 17 Oct 26 +2
    • Stability: 0.87 → pass security
  • 16 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 15 Oct 26 −3
    • Stability: pass → 0.83 functional
  • 14 Oct 26 +1
    • Stability: 0.97 → pass security
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Analysed npm/@bullrundata/market-intelligence@0.1.2

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem npm

Background: How many MCP packages publish verified provenance →

Dependencies 92 packages
Packages resolved 92
Stale 30
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 19 exposed · ~1,374 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
brrrr_analysis ~327

Analyze a BRRRR (Buy, Rehab, Rent, Refinance, Repeat) real estate deal. Returns all-in cost, ARV margin, refinance cash-out, monthly cash flow, BRRRR Score (0-100), 70% rule check, and full breakdown.

NameTypeReqDescription
annualInsurancenumber–Annual insurance
annualPropertyTaxnumber–Annual property tax
arvnumberyesAfter Repair Value in dollars
closingCostsBuyPctnumber–Closing costs percentage on purchase
holdingCostsnumber–Total holding costs during rehab
initialLoanAmountnumber–Initial loan amount if used
maintenancePctnumber–Maintenance as % of ARV per year
monthlyHoanumber–Monthly HOA
monthlyOtherExpensesnumber–Other monthly expenses
monthlyRentnumberyesExpected monthly rent in dollars
monthlyUtilitiesnumber–Monthly utilities
propertyMgmtPctnumber–Property management as % of rent
purchasePricenumberyesPurchase price in dollars
refiClosingCostsPctnumber–Refinance closing costs percentage
refiLtvPctnumber–Refinance LTV percentage
refiRatenumber–Refinance interest rate
refiTermYearsnumber–Refinance loan term
rehabCostsnumber–Total rehab costs
useInitialLoanboolean–Whether initial purchase used a loan
vacancyRatePctnumber–Vacancy rate percentage

No output schema declared.

No examples provided.

capital_rotation_instruments ~42

Get detailed scoring for all 9 macro instruments in the capital rotation model. Each instrument includes price, weighted score, signal direction, interpretation, and risk classification.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

capital_rotation_score ~70

Get the current capital rotation risk-on/risk-off composite score (-100 to +100) based on 9 macro instruments (DXY, Gold, Oil, Copper, VIX, 10Y Yield, Gold/Silver Ratio, SOFR, Bitcoin). Includes regime detection and asset allocation playbook.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

confirmation_status ~36

Check 4 coincident economic indicators that confirm or deny recession signals: Real GDP Growth, Industrial Production, Real Personal Income, Employment Level.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

divergence_alerts ~41

Get active correlation breakdowns between macro instruments (e.g., DXY and Gold both rising = systemic fear). Includes severity, implication, and momentum shift detection.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

economic_indicator ~122

Get time series data for any economic indicator by series ID (e.g., GDP, UNRATE, CPIAUCSL). Returns date-value pairs.

NameTypeReqDescription
limitnumber–Number of observations to return (default 10)
series_idstringyesEconomic indicator series ID (e.g., GDP, UNRATE, CPIAUCSL, DFF)
start_datestring–Start date (YYYY-MM-DD)
unitsstring–Data transformation: lin (levels), pch (% change), pc1 (YoY % change)

No output schema declared.

No examples provided.

employment_data ~39

Get current employment indicators: unemployment rate, nonfarm payrolls, initial claims, JOLTS openings and quits rate, participation rate, average hourly earnings.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

fed_stance ~48

Get the current Federal Reserve monetary policy stance (TIGHTENING, EASING, CRISIS, or NEUTRAL) based on fed funds rate trajectory and 6-month rate change.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

housing_data ~43

Get current housing market data: 30Y and 15Y mortgage rates, housing starts, building permits, median sales price, Case-Shiller index, existing home sales.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

inflation_data ~38

Get current inflation indicators: CPI, Core CPI, PCE, Core PCE, 10-year breakeven inflation, and consumer inflation expectations.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

interest_rates ~51

Get current interest rates: Fed funds, 2Y/5Y/10Y/30Y Treasury yields, 3M T-Bill, prime rate, 30-year and 15-year mortgage rates.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

investment_property_analysis ~211

Analyze a rental investment property. Returns cap rate, cash-on-cash ROI, monthly cash flow, NOI, DSCR, 1% rule evaluation, and full expense breakdown.

NameTypeReqDescription
annualInsurancenumber–Annual insurance
annualPropertyTaxnumber–Annual property tax
closingCostsPctnumber–Closing costs percentage
downPaymentPctnumber–Down payment percentage (default 20)
interestRatenumber–Annual interest rate (default 7.0)
loanTermYearsnumber–Loan term in years (default 30)
maintenancePctnumber–Maintenance as % of value per year
monthlyHoanumber–Monthly HOA fees
monthlyRentnumberyesExpected monthly rent in dollars
propertyMgmtPctnumber–Property management as % of rent
purchasePricenumberyesPurchase price in dollars
vacancyRatePctnumber–Vacancy rate percentage (default 8)

No output schema declared.

No examples provided.

market_regime ~51

Get the current market cycle phase: EARLY_CYCLE, MID_CYCLE, LATE_CYCLE, or RECESSION. Based on unemployment trend, ISM PMI, yield curve, and credit spreads.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

market_sentiment ~33

Get market sentiment indicators: VIX (fear index), Financial Conditions Index, Financial Stress Index, and Consumer Sentiment.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

recession_indicators ~21

Get all recession model indicators with current values and risk scores.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

recession_probability ~49

Get the current US recession probability (0-95%) from a 15-indicator weighted model with dynamic Fed stance and market regime adjustments. Includes risk level, confidence, confirmation status, and actionable recommendation.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

sahm_rule ~50

Check the Sahm Rule recession indicator. The 3-month moving average of unemployment minus the 12-month minimum. Triggers at 0.50 — has predicted every US recession since 1970.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

search_indicators ~66

Search for economic indicators by keyword. Returns matching series with ID, name, frequency, and last updated date.

NameTypeReqDescription
limitnumber–Max results (default 10)
querystringyesSearch query (e.g., "unemployment rate", "consumer price index")

No output schema declared.

No examples provided.

yield_curve ~36

Get yield curve analysis: 10Y-2Y and 10Y-3M spreads, all Treasury yields, and inversion detection.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

Install

How do I install the io.github.jbrand0n/market-intelligence-mcp server?

io.github.jbrand0n/market-intelligence-mcp runs locally as an npm package, launched with npx -y @bullrundata/market-intelligence. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · @bullrundata/market-intelligence

# add to Claude Code
claude mcp add jbrand0n-market-intelligence-mcp -- npx -y @bullrundata/market-intelligence
Common questions

What is the io.github.jbrand0n/market-intelligence-mcp server?

io.github.jbrand0n/market-intelligence-mcp is listed in the public MCP registry as io.github.jbrand0n/market-intelligence-mcp. Recession probability, capital rotation scoring, and economic data API. This page covers its npm package (@bullrundata/market-intelligence).

Is the io.github.jbrand0n/market-intelligence-mcp server safe to use?

io.github.jbrand0n/market-intelligence-mcp scores 83 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.jbrand0n/market-intelligence-mcp server expose?

io.github.jbrand0n/market-intelligence-mcp exposes 19 tools: recession_probability, recession_indicators, fed_stance, market_regime, confirmation_status, and 14 more. Their descriptions and schemas cost roughly 1,374 tokens of context every time the server is loaded.

Is the io.github.jbrand0n/market-intelligence-mcp server still maintained?

io.github.jbrand0n/market-intelligence-mcp is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.jbrand0n/market-intelligence-mcp server under?

io.github.jbrand0n/market-intelligence-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.