Prototipo · Versión preliminar: todos los servidores del registro oficial, sincronizados cada 30 minutos. Las reseñas y las cuentas llegarán en una etapa posterior.
PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

Bullrun: Global Stock & UCITS ETF Research

de ferinatorversión 0.9.0i★ –iSe ejecuta en la nube
Nombre en el registroorg.bull-run/bullrun

Instalar

Resumen

Descripción del creador (original en inglés)

Free, no sign-up: global stocks, UCITS ETF costs and overlap, company risk and macro, all dated.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en la nube
  • Transporte: Streamable HTTP
  • Categoría: Búsqueda y memoria de IA

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Funciona en Claude para web, escritorio y móvil:

  1. Abre Settings → Connectors
  2. Presiona Add custom connector
  3. Pega la dirección de abajo y presiona Add
  4. Si te pide iniciar sesión, inicia sesión en el servicio del creador
SettingsConnectors1+ Add2https://…3
https://mcp.bull-run.org/mcp

Ejecuta esto en tu terminal

claude mcp add --transport http bullrun https://mcp.bull-run.org/mcp

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "bullrun": {
      "url": "https://mcp.bull-run.org/mcp"
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "bullrun": {
      "type": "http",
      "url": "https://mcp.bull-run.org/mcp"
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

ChatGPT solo se conecta a servidores en internet:

  1. Abre ChatGPT en la web → Settings → Connectors (Apps)
  2. Presiona Create o Add (en algunos planes primero hay que activar Developer mode en Advanced)
  3. Pega la dirección de abajo, ponle un nombre y guarda
  4. Si te pide iniciar sesión, inicia sesión en el servicio del creador
SettingsConnectors1+ Create2https://…3
https://mcp.bull-run.org/mcp

Los nombres de los menús pueden variar un poco según el plan y con el tiempo.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Nombres y descripciones de las herramientas tal como los informó el servidor el 7 nov 2026. Los escribió el creador, no nosotros; los mostramos como texto sin formato.

  • screen_stocks

    Screen the global Bullrun stock universe with the app rule engine using custom fundamental rules or named presets: profitable value, dividend income, growth and cash flow, cash generators, dividend growth. action=list_presets discloses exact thresholds, units, annual lookback and

  • search_stocks

    Resolve a company name, native ticker, ISIN or exchange-qualified symbol to Bullrun listings before calling exact-ticker research tools. Supports exchange/MIC, country, currency and instrument-type filters. Recognized exchange suffixes are checked against compatible stored venues

  • find_stock_peers

    Discover stock comparison candidates for one exact Bullrun ticker using stored industry or sector classification. Discloses the chosen classification, country preference, deterministic selection order, scan cap and issuer/listing exclusions. Excludes the subject, secondary listin

  • get_stock_price_history

    Read bounded stored stock OHLCV history, ascending by trade date, as daily, weekly or monthly bars, with close-based price returns/drawdown and optional deterministic SMA, EMA, Wilder RSI and MACD. Useful for price trends, volatility context and technical analysis; use get_stock_

  • get_company_news

    Get cached company news for one exact Bullrun ticker, newest publication first, with publisher, source URL, publication date and stored-fetch freshness when recorded. Optional since cutoff and limit up to 50; only the newest 50 stored articles are searched. Useful for company hea

  • search_etfs

    Look up ETFs by name, ticker or ISIN, with classification, listing, index, distribution-policy, AUM, expense-ratio and yield filters. Best for finding a known fund. For ranking questions ("cheapest", "largest", "best performing", "most liquid") prefer screen_etfs, which evaluates

  • screen_etfs

    Screen the WHOLE ETF universe by numeric rules and fund attributes in one pass — expense ratio, AUM, yield, trailing returns, volatility, liquidity, top-10 concentration, fund age and holdings count — combined with issuer, index, domicile, UCITS status, distribution policy, curre

  • get_etf_index_group

    Answer "what is the cheapest way to track ?". Returns every fund tracking one index ordered cheapest fee first, deduplicated to one row per FUND rather than per venue listing (a five-venue UCITS fund is one choice, not five) with its listingCount and venues. Defaults to UCITS-buy

  • get_etf_fund

    Resolve one FUND rather than one listing. Given an ISIN (or any venue ticker of the fund) it returns the fund's identity, costs, index, distribution policy, wrapper type and every venue it is listed on with exchange and trading currency. Use this when the user quotes an ISIN, ask

  • get_etf_filter_options

    List the exact values accepted by the categorical filters on search_etfs and screen_etfs — asset classes, categories, index keys, product/wrapper types, regions, domiciles, currencies, exchanges, and (on request) issuers and focus strings. Those filters match exactly, so a guesse

  • get_etf_snapshot

    Fetch a modular snapshot for one exact ETF listing. The include array controls which of identity, classification, market, fund_data (NAV/AUM), costs, income, and benchmark are fetched and returned. Unrequested modules are omitted; requested-but-unavailable modules are named expli

  • get_etf_holdings

    Return the latest stored ETF holdings snapshot with opaque cursor pagination. The response reports the provider's stated holdings count, stored row count, covered weight, and whether the stored rows appear complete. Treat isComplete=false or null as partial look-through data. His

  • get_etf_timeseries

    Fetch ETF price or price-return history at daily, weekly, or monthly intervals. NAV, true total-return, benchmark, and premium/discount series are returned only when their required source data or an explicit benchmark ticker exists; unavailable requested series are named explicit

  • get_etf_exposures

    Calculate sector, country, currency, and broad asset exposure from the latest stored ETF holdings. Sector and country come from the fund provider's own holdings file where it states them (normalized to Bullrun's sector and country names), otherwise from the Bullrun instrument the

  • get_etf_risk

    Calculate drawdown, annualized volatility, downside volatility, historical VaR, Sharpe, Sortino and Calmar ratios from stored daily close prices. With benchmarkTicker, also calculates beta, correlation, tracking error, active return and information ratio on aligned dates. Results

  • compare_etfs

    Return a normalized side-by-side comparison of two to ten ETFs across selected classification, market, fund-data, cost, income, benchmark, price-performance, price-risk, holdings, and optional overlap modules. Include overlap to measure pairwise shared securities and weighted ove

  • simulate_etf_cost

    Simulate expense-ratio, assumed bid/ask spread, commissions, and recurring contributions over a holding period. Compares the same gross-return path with and without costs and reports direct charges plus ending-value drag. Taxes, FX, market impact and brokerage-specific fees are e

  • get_stock_metrics

    Fetch a consolidated metrics snapshot for a single stock by ticker: identity (company, exchange, currency, sector, industry, country, ISIN), latest daily price (OHLCV), latest valuation (market cap, P/E, dividend yield, annual dividend per share), the most recent reported financi

  • compare_stocks

    Compare two to five stock tickers in one compact structured response: annual fundamentals and growth, quality ratios, stored valuation and Bullrun model context, and measured risk dials. Reports each fiscal year, source date, native quote/reporting currency and missing coverage.

  • get_financial_history

    Read historical financial statements for one exact Bullrun ticker, with growth/CAGR consistency checks first, then income, balance sheet, cash flow, per-share metrics, margins and source currency. Defaults to a five-fiscal-year window of annual rows; request years=1-15 and period

  • get_quality_moat_metrics

    Compute annual quality, moat, earnings-quality, and capital-allocation metrics for one exact Bullrun ticker from existing financial statements: ROIC, ROE/ROA, ROIC-vs-supplied-WACC, accruals, cash conversion, capex intensity, dividend payout/growth, diluted share-count changes, a

  • get_forward_estimates

    Read cached analyst consensus revenue/EPS estimates and available EPS revision percentages for one exact Bullrun ticker. A free background refresh checks supported symbols on demand, storing at most one snapshot per day; the first read may be empty. Fiscal periods and source curr

  • get_operating_kpis

    Read curated, source-linked operating KPI observations for one exact Bullrun ticker. Coverage is sparse and no automatic KPI feed is configured: do not assume ARR, retention, customer counts or payments metrics are available. Check get_company_data_coverage first. Returns stored

  • get_revenue_breakdown

    Fetch segment, geography, product, customer, or other revenue breakdown rows for one exact Bullrun ticker. Use this to separate cyclical businesses from recurring segments or inspect geographic exposure instead of relying on blended revenue. Read-only.

  • get_earnings_call_transcript

    Read cached earnings-call paragraphs for one exact Bullrun ticker, optionally filtered by fiscal period or search text. A best-effort free background import collects at most the two latest retained calls for supported US listings, with a 24-hour stored-data cooldown; the first re

  • list_research_shortlist

    Read the signed-in user's saved Research Shortlist of stock and ETF listing tickers, with dated stored prices. Requires OAuth read:shortlist. Use after the user asks for their saved research queue. Read-only; does not evaluate a screen, schedule monitoring or send notifications.

  • save_research_shortlist

    Add 1-20 exact Bullrun stock or ETF listing tickers to the signed-in user's Research Shortlist when the user asks to save them. Requires OAuth write:shortlist; reconnect if this scope was not granted. Resolve ambiguous names with search_stocks/search_etfs first. Existing entries

  • list_portfolios

    Use when the user refers to THEIR portfolio(s) or holdings — e.g. "my portfolios", "what portfolios do I have", "how are my investments doing", "show my holdings", "my account". Lists the signed-in Bullrun user's virtual portfolios with computed summaries: name, base currency, to

  • get_portfolio_context

    Use when the user asks to look at, review, or analyze THEIR portfolio / holdings / positions — e.g. "analyze my portfolio", "how is my portfolio doing", "what's in my portfolio", "review my holdings", "how am I invested", "what should I improve". Fetches a deep snapshot of ONE of

  • get_portfolio_analytics

    Analyze the signed-in user's portfolio risk, diversification, concentration or a candidate stock/ETF. Returns correlation/covariance, risk contributions, country/sector/currency exposures, proxy factors and stress scenarios. Use portfolioId from list_portfolios; use get_portfolio

  • create_portfolio_draft

    Use when the user wants you to BUILD or PROPOSE a brand-new portfolio for them — e.g. "build me a portfolio", "put together a dividend portfolio", "draft a portfolio of AI stocks", "create a new portfolio for $10k". Generates a REVIEWABLE paper-portfolio draft for the signed-in B

  • create_position_draft

    Use when the user asks what to BUY or ADD to an EXISTING portfolio — e.g. "what should I buy next", "suggest a stock or ETF for my portfolio", "what should I add", "recommend a position", "any ideas to round out my holdings". Generates REVIEWABLE suggested additions for one exist

  • create_portfolio_from_positions

    Use when YOU (or the user) have ALREADY decided the exact holdings and want them saved as-is — e.g. after researching and settling on a specific basket with target weights. Persists a REVIEWABLE paper-portfolio draft built from the tickers you supply, sized by weight (percent) or

  • get_capabilities

    Discover what the connected Bullrun account can do BEFORE attempting an action, so you can plan instead of learning by hitting a 403. Reports whether you are authenticated and as WHICH identity (email + userId), the account's Pro/trial status and why (subscription / trial / admin

  • get_company_risk

    Bullrun's company risk read for one stock: a 0-100 composite risk score and six mechanism dials (market expectation, operating pressure, cash conversion, leverage & coverage, competitive position, concentration) with band (Contained/Normal/Elevated/Stretched/Acute), direction vs

  • get_company_relationships

    Bullrun's company relationship graph for one stock: named competitors, suppliers, customers and partners, each with its Bullrun ticker when the counterparty is listed, verification status (VERIFIED against a primary filing/source vs search-SUGGESTED), confidence, sole-source flag

  • compare_company_exposures

    Compare the cached company relationship graphs of two to five stock tickers. Finds shared suppliers, customers, competitors and partners, including cross-role overlaps, using stable company entity IDs or exact tickers only. Returns directed direct relationships with VERIFIED vs S

  • get_corporate_calendar

    Read stored upcoming earnings and ex-dividend dates, plus recent equity listings. Supports ticker/company search and explicit effective windows, market-cap filters, native listing quote currencies, available source metadata and partial coverage. Recent first-trade dates are not c

  • get_company_risk_history

    Stored historical company risk category readings and their observed input changes. Shows dates, computation times, formula versions, score changes, changing input coverage and measurement bases. Use for 'how has X's risk changed?' and 'which inputs changed?'. These are retained c

  • get_company_data_coverage

    A cheap stored-data manifest for one exact company: available datasets, latest reporting periods, actual ingestion/computation timestamps where stored, and cached relationship graph status. Call before deeper research when coverage or freshness is uncertain. This reads indexed me

  • screen_risk_board

    Rank Bullrun's scored stock universe (~9,000 companies) by company risk: the composite risk score or any one mechanism dial (market expectation, operating pressure, cash conversion, leverage, competitive position, concentration), filtered by band, sector, country and dial coverag

  • get_risk_movers

    Companies whose Bullrun composite risk score crossed into a different band (e.g. Elevated -> Stretched, or Acute -> Stretched) within the last N days, with prior and current score, the move in points, and the input driving the reading. Use for "what got riskier this week", "any r

  • get_global_markets_overview

    Bullrun's Global Markets dashboard in one call: world equity indices (S&P 500, Nasdaq-100, MSCI World, DAX, FTSE 100, Nikkei, Hang Seng, Nifty...), central-bank policy rates and next rate decisions (Fed, ECB, BoE, BoJ, SNB, BoC), 16 sovereign 10-year yields, 20 FX pairs, oil/gas/

  • get_country_macro

    One country's macro dashboard from Bullrun's Global Markets warehouse: a 0-100 macro stress score (higher = more stress) built from six pillars - labour (unemployment, its change, youth unemployment), housing (real house prices, price-to-income and price-to-rent vs history), cred

  • get_macro_indicators

    Cross-country macro comparison from Bullrun's Global Markets warehouse: rank up to ~200 countries on one indicator (GDP growth annual or quarterly, CPI inflation, government debt/GDP, unemployment, youth unemployment, real house-price growth, house price-to-income and price-to-re

  • get_macro_history

    Historical time series behind the Global Markets dashboard, often decades long: equity indices, central-bank policy rates, 10-year government bond yields, FX rates, oil/gas/gold/copper, VIX, DXY, the US 2s10s curve, and per-country macro indicators (GDP growth, inflation, unemplo

  • get_valuation_model

    Bullrun's proprietary machine-learning valuation and forecast scores for 1-10 stocks, recomputed nightly. Valuation: a LightGBM model predicts the P/E (or price/sales for loss-makers) that companies with similar fundamentals typically command a year out; the gap = typical / curre

  • screen_valuation_model

    Rank the whole scored stock universe (market cap >= $100M) by Bullrun's proprietary ML models: the stocks trading furthest below (or above) the P/E or price/sales multiple their fundamentals typically command, or the strongest/weakest relative 1-year forecast signals. Filter by s

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con el dominio bull-run.org (el registro comprueba quién es dueño del dominio)

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • ✓ Superada

    El endpoint responde

    Respondió en 368 ms (HTTP 200)

  • – No aplica

    Inicio de sesión con OAuth

    No hace falta iniciar sesión

  • ✓ Superada

    Sin instrucciones ocultas en las descripciones de herramientas

    Leímos 48 descripciones de herramientas y no encontramos instrucciones ocultas para la IA

Comparado con otros en Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 5714 servidores de esta categoría
  • Publicado en el registro más recientemente que el 80% de los otros 5714 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 5714 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro Bullrun: Global Stock & UCITS ETF Research?

Superó 3 de 3 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.9.0) llegó al registro hace 10 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Context7

Up-to-date docs for AI agents

de upstashMuy usado↓ 972,7 mil/sem★ 64,2 milActualizado anteayer

Computadora o nube

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

de DeusDataMuy usado↓ 18 mil/sem★ 48,1 milActualizado hace 22 días

Se ejecuta en tu computadora

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

de exa-labsMuy usado★ 5,2 milActualizado hace 2 meses

Se ejecuta en la nube✓ exa.ai

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

Bullrun: Global Stock & UCITS ETF Research

An MCP server for researching stocks and ETFs beyond the US. Find global stock candidates, compare UCITS ETF costs and overlap, and inspect company risks from your MCP client. Every figure shows its date, reporting period and native currency, and missing data is reported as unknown. Public research needs no API key or Bullrun account. Connect your free Bullrun account when you want to save research, read your portfolios or create a reviewable paper-portfolio draft.

Free: 700 successful MCP tool calls per rolling 30 days. Pro and active trials: 1,000 successful tool calls per rolling 5 hours. Bullrun Pro costs CHF 5/month or CHF 50/year. See plans and subscription details, then connect the account endpoint through OAuth to use your Pro allowance. Website screening and manual research have separate allowances.

Public researchhttps://mcp.bull-run.org/mcp (Streamable HTTP)
Personal research and portfolioshttps://mcp.bull-run.org/account/mcp (OAuth)
Research tools only, no sign-inhttps://mcp.bull-run.org/research/mcp (the 39 research tools, no account tools or prompts)
Web appbull-run.org
Registryorg.bull-run/bullrun
GlamaServer · Connector
mcprushBullrun MCP · Bullrun Research (research tools only, with quotas per installation)
ClaudeBullrun research connector · Setup guide
PrivacyPrivacy policy

Connect

Add the hosted endpoint as a remote MCP server in your client. Public market research is anonymous. To save a research shortlist or work with your portfolios, add the account endpoint above and authorize the requested OAuth scopes. These features, including AI-generated drafts, are available to signed-in free accounts. Free use includes 700 successful MCP tool calls per rolling 30 days, per free account or anonymous network, shared across the official public, research and OAuth endpoints. Connected Pro and active-trial accounts get 1,000 successful tool calls per rolling 5 hours. Each successful call counts once, regardless of how much data it loads; failed calls use no allowance. Allowances refill automatically as earlier calls leave the rolling window. Temporary capacity limits and tool pacing may ask you to wait; follow the reply's retry guidance. Website and marketplace allowances are unchanged. Your shortlist persists in Research Shortlist, and paper drafts remain pending until you review and accept them. Saving never enables monitoring or email.

{

"mcpServers": { "bullrun": { "url": "https://mcp.bull-run.org/mcp" } } }

Configuration formats vary by client. See the connection guide.

Start with a research question

  • “Find Nestlé's stock listing and show the available company data.”
  • “List your preset stock screens, then find European companies with positive earnings and free cash flow.”
  • “Show six months of Apple's daily prices, RSI and moving averages.”
  • “Find peers for Microsoft and compare their fundamentals.”
  • “Show recent company news for NVIDIA, with publication dates and freshness.”
  • “Which UCITS funds track the S&P 500 at the lowest ongoing cost?”
  • “Compare the underlying overlap of these two ETFs.”
  • “Which companies share suppliers or customers with Apple?”

Use the prompt menu for find_ml_candidates (compare model candidates with business fundamentals), compare_ucits_costs (fund-level cost comparison) and research_shortlist_briefing (review your saved queue). These workflows retrieve research; saving requires your instruction.

Tools

Version 0.9.0 exposes 48 focused tools in both hosted and local builds (39 research tools on the research-only and marketplace connections). The exact tools and parameters are available through MCP tools/list.

The hosted server and local stdio build support MCP 2026-07-28 and older initialization-based clients. Existing server URLs and OAuth requirements stay the same; reconnect if your client caches the catalog. Server guidance is shorter, and get_financial_history defaults to five fiscal years of annual statements. Request years (1-15) and periodType: "quarterly" or "both" explicitly when you need more detail. Responses retain dates, currencies, coverage and growth summaries.

WorkflowTools
Find stocks and screensearch_stocks, screen_stocks, find_stock_peers
Prices and newsget_stock_price_history, get_company_news, get_stock_metrics
Fundamentalscompare_stocks, get_financial_history, get_quality_moat_metrics, get_revenue_breakdown
Coverage and optional datasetsget_company_data_coverage, get_forward_estimates, get_operating_kpis, get_earnings_call_transcript
Company risk and dependenciesget_company_risk, get_company_relationships, compare_company_exposures, get_company_risk_history, screen_risk_board, get_risk_movers
Corporate calendarget_corporate_calendar
ETF discoverysearch_etfs, screen_etfs, get_etf_filter_options, get_etf_index_group, get_etf_fund
ETF researchget_etf_snapshot, get_etf_holdings, get_etf_timeseries, get_etf_exposures, get_etf_risk, compare_etfs, simulate_etf_cost
Macroget_global_markets_overview, get_country_macro, get_macro_indicators, get_macro_history
Bullrun valuation modelsget_valuation_model, screen_valuation_model
Research Shortlist (sign-in)save_research_shortlist, list_research_shortlist
Personal portfolios (sign-in)list_portfolios, get_portfolio_context, get_portfolio_analytics, get_capabilities
Reviewable paper drafts (sign-in)create_portfolio_from_positions, create_portfolio_draft, create_position_draft

The consolidated tools preserve existing defaults and fetch extra analysis only when requested:

  • screen_stocks({action: "list_presets"}) lists transparent rules without running a screen. Pass a preset such as profitable_value to run it, or supply custom rules; do not combine preset and custom rule inputs.
  • compare_etfs({tickers: [...], include: ["overlap"]}) returns pairwise shared holdings, weighted overlap, snapshot dates and partial-coverage warnings. Other comparison modules can be requested alongside overlap.
  • get_portfolio_analytics({portfolioId, candidateTicker, includeLookThrough: true}) adds ETF/direct-holding duplicate exposure. It requires portfolio access and retains the selected privacyMode; ordinary analytics does not fetch holdings look-through.
Migrating older clients

The four retired names remain available in the opt-in compatibility catalog at https://mcp.bull-run.org/legacy/mcp. OAuth clients that need a login challenge can use https://mcp.bull-run.org/account/legacy/mcp. Both retain the existing authentication rules. The modern endpoints omit these aliases:

Legacy nameModern call
screen_stock_presetsscreen_stocks with action: "list_presets" or a named preset
analyze_etf_overlapcompare_etfs with include: ["overlap"]
analyze_portfolio_fitget_portfolio_analytics with candidateTicker and includeLookThrough: true
query_etfssearch_etfs, get_etf_snapshot, get_etf_holdings, and get_etf_timeseries, according to the requested operation

Reconnect after changing endpoints; modern and compatibility sessions cannot be shared. For local compatibility, run node dist/stdio.js --legacy-tools. Legacy responses retain their existing fields and units, including raw fractional ratios in query_etfs; modern ETF ratios use percentage points.

Read the returned coverage and dates. Stored prices are daily observations, not live stock quotes. Technical indicators and price returns use stored closes; an adjusted total-return series is not implied. Weekly/monthly bars are aggregated from daily data. News reads return cached articles and, except on the research endpoint, can request a bounded background refresh; an empty result is not proof that no news exists.

Consensus estimates use available Yahoo revenue/EPS targets and EPS revisions; EBITDA, management guidance and revenue revisions are not supplied by this feed. Estimate reads can queue a free consensus refresh, and US transcript reads a bounded import of the latest two calls from the existing free DefeatBeta source; the first cached response may be empty while that runs. The research endpoint (/research/mcp) queues nothing: its news, estimate and transcript reads return stored rows only, so every tool there is read-only. Non-US transcript coverage is not configured. Operating KPI observations remain limited to stored rows, with no broad KPI ingestion pipeline. Use get_company_data_coverage before relying on an optional dataset. Missing data is unknown. A risk band describes measured strain, and a model valuation gap describes relative pricing; neither is a price target or buy/sell recommendation.

The same UCITS fund can trade on several venues under different symbols. Resolve ISINs with get_etf_fund and treat those listings as one holding when evaluating overlap.

Shortlist access uses read:shortlist and write:shortlist. Reconnect the account endpoint to grant these scopes if you connected an older version. save_research_shortlist takes 1-20 exact stock or ETF listing tickers; confirmed saves and individual failures are returned separately.

Successful answers offer an optional contextual link to Bullrun's charts, screens, company networks or saved draft. Link descriptions identify settings that the app cannot reproduce. Opening a draft link never accepts it or changes holdings.

Local stdio build

The remote endpoint is the simplest connection. To build the connector for local clients or directory inspection:

npm ci

npm run build node dist/stdio.js

The stdio build reads public data from https://bull-run.org by default. Set BULLRUN_API_BASE to use another Bullrun API deployment. Anonymous stdio clients cannot read personal portfolios or create drafts.

Release verification

npm test

npm run test:catalog

The public repository contains the MCP connector, not the application database or data services. The connector source, version and catalog are synchronized from the application repository's release process. MIT license.

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