Market Intelligence MCP
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| BULLRUNDATA_API_KEY | Yes | Your API key from bullrundata.com |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| recession_probabilityA | 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. |
| recession_indicatorsA | Get all recession model indicators with current values and risk scores. |
| fed_stanceA | Get the current Federal Reserve monetary policy stance (TIGHTENING, EASING, CRISIS, or NEUTRAL) based on fed funds rate trajectory and 6-month rate change. |
| market_regimeA | 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. |
| confirmation_statusA | Check 4 coincident economic indicators that confirm or deny recession signals: Real GDP Growth, Industrial Production, Real Personal Income, Employment Level. |
| sahm_ruleA | 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. |
| capital_rotation_scoreA | 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. |
| capital_rotation_instrumentsA | 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. |
| divergence_alertsA | Get active correlation breakdowns between macro instruments (e.g., DXY and Gold both rising = systemic fear). Includes severity, implication, and momentum shift detection. |
| investment_property_analysisA | Analyze a rental investment property. Returns cap rate, cash-on-cash ROI, monthly cash flow, NOI, DSCR, 1% rule evaluation, and full expense breakdown. |
| brrrr_analysisA | 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. |
| economic_indicatorB | Get time series data for any economic indicator by series ID (e.g., GDP, UNRATE, CPIAUCSL). Returns date-value pairs. |
| search_indicatorsA | Search for economic indicators by keyword. Returns matching series with ID, name, frequency, and last updated date. |
| interest_ratesA | Get current interest rates: Fed funds, 2Y/5Y/10Y/30Y Treasury yields, 3M T-Bill, prime rate, 30-year and 15-year mortgage rates. |
| inflation_dataA | Get current inflation indicators: CPI, Core CPI, PCE, Core PCE, 10-year breakeven inflation, and consumer inflation expectations. |
| employment_dataA | Get current employment indicators: unemployment rate, nonfarm payrolls, initial claims, JOLTS openings and quits rate, participation rate, average hourly earnings. |
| housing_dataA | Get current housing market data: 30Y and 15Y mortgage rates, housing starts, building permits, median sales price, Case-Shiller index, existing home sales. |
| yield_curveA | Get yield curve analysis: 10Y-2Y and 10Y-3M spreads, all Treasury yields, and inversion detection. |
| market_sentimentA | Get market sentiment indicators: VIX (fear index), Financial Conditions Index, Financial Stress Index, and Consumer Sentiment. |
| cascade_listA | List all available macro catalyst scenarios in the Cascade Engine. Returns catalyst IDs, names, categories, and severity levels. Use a catalyst ID with cascade_analysis for the full chain reaction. |
| cascade_analysisA | Get the full chain reaction cascade for a macro catalyst scenario. Maps cause-effect chains across markets, regions, and asset classes with confidence levels, historical precedents, and live market data enrichment. Use cascade_list to see available catalysts. |
| cascade_searchA | Search catalyst scenarios by keyword. Matches against catalyst names, descriptions, categories, and trigger conditions. Use this when you're not sure which catalyst applies to a given situation. |
| cascade_by_categoryA | Get all catalyst scenarios in a specific category. Categories: geopolitical, monetary, credit, commodity, currency, contagion, structural. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 23 tools
Each tool targets a distinct aspect of market intelligence—real estate, macro indicators, recession models, yield curves, etc. Potential overlaps like recession_indicators and recession_probability are differentiated by their outputs, with one listing raw indicators and the other providing a composite probability. The cascade suite is clearly organized with separate tools for listing, searching, and analyzing by category.
Most tools follow a noun_noun pattern (e.g., housing_data, recession_probability), but there are deviations: search_indicators uses a verb_noun pattern, and cascade_by_category includes a preposition. This inconsistency is minor and does not impede readability, but a uniform verb_noun or noun_noun convention would improve predictability.
With 23 tools, the server covers a broad domain without being overwhelming. Each tool serves a clearly defined function, and the count aligns well with the scope of market intelligence. Slightly towards the upper end of reasonable, but justified by the diversity of macroeconomic and real estate analysis subdomains.
The toolset thoroughly covers macroeconomic indicators, recession prediction, yield curves, and real estate investment analysis. However, it lacks certain areas like sector-level stock analysis, commodity prices beyond the capital rotation model, or detailed forex data. Overall, core workflows are well-supported, with only minor gaps.