mcpbeat

Bullrun MCP Server

org.bull-run/bullrun
answering

Bullrun is answering right now. Last checked 9 min ago. It exposes 16 tools. Last commit 30 Jun 2026.

Global stock research, ML forecasts, valuation signals, screeners & portfolio tracking in Claude

Uptime history 41 hours of history
41 hours agonow
100.0%
Uptime 24h
91 of 91 checks
16
Tools
read from the server
207 ms
Response time
average over 24h
0
Stars
last commit 30 Jun 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

run in your terminal
claude mcp add bullrun --transport http https://mcp.bull-run.org/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "bullrun": {
      "url": "https://mcp.bull-run.org/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.bullrun]
url = "https://mcp.bull-run.org/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "bullrun": {
      "url": "https://mcp.bull-run.org/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "bullrun": {
      "url": "https://mcp.bull-run.org/mcp"
    }
  }
}

Available tools 16

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

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 Bullrun user from a natural-language brief (e.g. "a diversified European dividend portfolio"). Requires OAuth with the write:drafts scope and a Bullrun Pro account. This is DRAFT-ONLY and never changes any live position: the draft is saved to the user's account and appears in the Bullrun Portfolio tab under "Pending AI drafts", where the user reviews it and explicitly accepts it to create a new portfolio (or discards it). To suggest additions to an EXISTING portfolio instead, use create_position_draft. Tickers are chosen only from Bullrun's priced stock/ETF universe; pass instrumentUniverse for stocks only, ETFs only, or a mix. If the brief is vague, first ask ONE quick round of up to three multiple-choice questions (investing style, region focus, and size), each with a default the user can accept with "just pick for me", then build; skip any dimension the user already specified and do not interrogate across multiple turns.
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 by explicit USD amount. Unlike create_portfolio_draft this does NOT use the LLM and NEVER re-selects tickers: your basket lands exactly as given. It is NOT Pro-gated (it mirrors manual position entry, which is free) and needs only OAuth with the write:drafts scope. DRAFT-ONLY: the draft is saved to the user's Bullrun account and appears in the Portfolio tab under "Pending AI drafts", where the user reviews it and explicitly accepts it (creating a NEW portfolio) or discards it — it never changes any live position. Tickers must exist in Bullrun's priced stock/ETF universe; any that cannot be priced are returned in `unresolved` and skipped (use query_etfs / screen_stocks / get_stock_metrics to confirm exact tickers first). For a vague brief where the model should pick, use create_portfolio_draft instead.
get_portfolio_analytics
Use when the user asks about THEIR portfolio's risk, diversification, or concentration, or whether to add a stock — e.g. "is my portfolio diversified", "how risky is my portfolio", "am I too concentrated", "what's my exposure to X", "should I add NVDA", "would AAPL improve my diversification". Fetches portfolio-level relationship analytics for one signed-in user's portfolio: correlation and annualized covariance matrices across holdings, contribution-to-risk, concentration by weight and risk, currency/sector/country exposures, value/growth/momentum/quality/size proxy factor scores, scenario/stress tests (rates +100bp, oil -20%, USD +10%), and optional candidateTicker fit analysis showing correlation to the current portfolio plus pro-forma volatility (set candidateTicker when the user asks whether to add a specific stock). Pass a portfolioId from list_portfolios. The risk math only covers holdings with enough price history, dropping unpriced/unmatched ones (ETFs, funds, untracked tickers) and renormalizing all percentages over what remains; the response leads with a `coverage` banner (first text block) stating how many holdings were excluded, so never read these figures as the whole portfolio. For a plain holdings/value snapshot and the full matched/unmatched breakdown use get_portfolio_context instead. Requires OAuth (read:portfolios) and returns the caller's own data only. privacyMode defaults to "full"; "weights_only" hides absolute USD amounts while keeping weights, percentages, correlations and scores.
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 the signed-in user's portfolios: the summary (value, day change, total return), every holding (with position weight %, sector and return) and Bullrun's computed insights (benchmark comparison, concentration, diversification, dividend income). Pass a portfolioId from list_portfolios (call that first if the user hasn't named a portfolio). The response ALWAYS returns the complete holdings list with each position flagged matched/unmatched, plus a `coverage` summary: holdings that Bullrun can't link to its universe (ETFs, funds, untracked tickers) carry no weight, sector, insight or ML score, so weights/insights/ML below describe ONLY the matched subset. Read the coverage banner (the first text block) and never present matched-only figures as the whole portfolio. For risk/diversification math, correlations, factor exposure, or whether to add a specific stock, use get_portfolio_analytics instead. Requires OAuth (read:portfolios) and returns the caller's own data only. privacyMode defaults to "full" (absolute $ included); "weights_only" returns only relative figures. Read-only.
capabilities
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), whether the account has Bullrun Pro and why (subscription / trial / admin), the granted OAuth scopes, portfolio usage vs the free/max limits, and a per-tool entitlement map: create_portfolio_from_positions (free), create_portfolio_draft and create_position_draft (Pro-only), and whether another portfolio can be created now. Call this first when a draft/write tool might be gated, or to confirm which account a request will act on. Read-only.
earnings
get_earnings_call_transcript
Fetch speaker-tagged earnings-call transcript chunks for one exact Bullrun ticker, optionally filtered by fiscal period or search text. Use this for management guidance language, analyst Q&A, and qualitative judgment that is not visible in financial statements. Read-only.
etfs
query_etfs
Search the Bullrun ETF universe by ticker/fund name plus ETF asset class, exposure, domicile, exchange and currency. For an exact ticker, returns ETF profile details, recent historical price rows, and latest holdings. Read-only.
financial
get_financial_history
Fetch 1-15 years of historical financial statements for one exact Bullrun ticker. Returns annual and/or quarterly rows grouped into income statement, balance sheet, cash flow, per-share metrics, margins, source currency, and annual growth/CAGR consistency checks. Use this when evaluating multi-year revenue/net-income growth, margin trajectories, leverage, cash flow quality, or whether a stock passed a rule such as 10% revenue and net-income growth every year.
forward
get_forward_estimates
Fetch forward consensus revenue/EPS/EBITDA estimates, management guidance ranges, and estimate-revision percentages for one exact Bullrun ticker. Also derives simple forward P/E and PEG-style context from the latest close when EPS estimates are available. Read-only.
operating
get_operating_kpis
Fetch period-specific operating KPIs and unit-economics metrics for one exact Bullrun ticker: ARR, net revenue retention, RPO, billings, customer counts, payments volume, cross-border volume, processed transactions, or other domain-specific metrics when populated. Read-only.
portfolios
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, total value (USD), day change, cost basis and total return, plus position counts. Start here when a portfolio question doesn't name a specific portfolio, then pass a portfolioId to get_portfolio_context or get_portfolio_analytics. Requires connecting this server to a Bullrun account (OAuth, read:portfolios scope) — it returns that user's own data only. privacyMode defaults to "full" (includes absolute $ amounts); pass "weights_only" to hide absolute money and return only relative figures (returns %, counts). Read-only.
position
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 existing Bullrun portfolio. Requires OAuth with the write:drafts scope and a Bullrun Pro account. This is DRAFT-ONLY: the suggested position(s) are saved to the user's account and appear in the Bullrun Portfolio tab under Pending AI drafts, where the user reviews and accepts them into the target portfolio or discards them. It never changes live holdings by itself. To draft a whole new portfolio from scratch use create_portfolio_draft; to test whether a specific named ticker fits, use get_portfolio_analytics with candidateTicker. Pass instrumentUniverse for stocks only, ETFs only, or a mix. If it is unclear, first confirm which portfolio (use list_portfolios when the user has more than one) and how many ideas (a single best idea or a few) in ONE quick step; otherwise just build.
quality
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, and a buyback proxy. Read-only.
revenue
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.
screen
screen_stocks
Screen the global Bullrun stock universe with the same rule engine as the app screener. Filter by sector, industry, country/countries, primary vs secondary listings, active vs inactive listings, lookback mode, AND/OR rule groups, comparison operators, money units, growth metrics and latest-value metrics. Returns a compact table of matching stocks. Read-only.
stock
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 financials (revenue, gross/operating income, EBITDA, net income, diluted EPS, free & operating cash flow, total debt, cash, total assets, equity) and a short company description. Use the exact ticker as listed on Bullrun - the native local-exchange symbol (e.g. AAPL, BMW, ABBN, NESN, or a numeric code like 005930), NOT Yahoo-style country suffixes like BMW.DE or ABBN.SW. If a ticker returns no data, use screen_stocks (by sector/country) to find the exact symbol. Read-only.

Endpoints

URLTransportStateLatencyChecked
https://mcp.bull-run.org/mcp streamable-http answering 183 ms 9 min ago

Bullrun — questions

Answers built from our own checks of this server.

What can Bullrun do?
It exposes 16 tools, read directly from the server on our last check. Among them: create_portfolio_draft, create_portfolio_from_positions, create_position_draft, get_capabilities, get_earnings_call_transcript, get_financial_history and 10 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Bullrun working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 207 ms. The bar chart above shows every period we have measured.
How do I connect Bullrun?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Bullrun need an API key?
No. Bullrun completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 16 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Bullrun?
It answers our handshake in 207 ms on average, which is faster than 61% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Bullrun open source?
Yes — it is published under the MIT licence, written in TypeScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.