Boothcheck vs Yfinance MCP
A side-by-side look at the Boothcheck and Yfinance MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Boothcheck for finance & fintech work over a hosted endpoint; choose Yfinance MCP for finance & fintech as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Boothcheck when
- You need dedicated capabilities in the Finance & Fintech domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
whats_priced_in, most_stretched, compare_priced_in.
Choose Yfinance MCP when
- You need dedicated capabilities in the Finance & Fintech domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
yfinance_get_ticker_info, yfinance_get_analyst_price_targets, yfinance_get_analyst_estimates.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Finance & Fintech | Finance & Fintech |
| Quality signal | 57/100 · Good | 64/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 204 |
| Directory activity | 0 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | 5 | 15 |
| Full listing | View Boothcheck | View Yfinance MCP |
Tools & capabilities
Boothcheck tools 5
whats_priced_inInvert a US stock's current price into the bet it implies: the operating-income growth rate, how many years it must be sustained, and (where the route holds one as an input) the terminal operating margin assumption, versus what the company has actually delivered (from SEC EDGAR filings, reverse-DCF). boothcheck does not return a Boothcheck house fair value, price target, or buy/sell rating — it shows what the price assumes so the user can judge the bet. Covers about 2,000 US tickers.most_stretchedRank US stocks by how much growth is already baked into their price (implied operating-income growth from a reverse-DCF read of the current price). Returns the top N with the growth and duration each price assumes (plus any held margin input). Not a sell list — a ranking of where the bar to clear is highest.compare_priced_inSide-by-side of what two US stock prices are each betting on: implied growth and duration (plus any held margin input) from a reverse-DCF inversion of each price. No Boothcheck house fair value or rating — a comparison of the assumptions embedded in the two prices.list_coverageInventory of US tickers with an implied-expectations model record, with its resolution level (whole-company, segment, financials, REIT, and kin). Model-record coverage does not guarantee a published priced-in decomposition or completed narrative report. Paginated at 100; inventory cached for up to one hour.get_report_summaryThe bullet takeaways of a boothcheck narrative research report plus which sections exist. Public reports are summarized keylessly; a signed-in Founding Access account key opens the full cached library. Never a fair value, target, or rating.
Yfinance MCP tools 15
yfinance_get_ticker_infoRetrieve comprehensive stock data including company information, financials, trading metrics and governance. Returns JSON object with fields including: - Company: symbol, longName, sector, industry, longBusinessSummary, website, city, country - Price: currentPrice, previousClose, open, dayHigh, dayLow, fiftyTwoWeekHigh, fiftyTwoWeekLow - Valuation: marketCap, enterpriseValue, trailingPE, forwardPE, priceToBook, pegRatio - Trading: volume, averageVolume, averageVolume10days, bid, ask, bidSize, askSize - Dividends: dividendRate, dividendYield, exDividendDate, payoutRatio - Financials: totalRevenue, revenueGrowth, earningsGrowth, profitMargins, operatingMargins - Performance: beta, fiftyDayAverage, twoHundredDayAverage, trailingEps, forwardEps Note: Available fields vary by security type. Timestamps are converted to readable dates.yfinance_get_analyst_price_targetsFetch the current price and analyst consensus price targets for a stock. Returns a JSON object with the fields supplied by Yahoo Finance: - current: Current market price - low: Lowest analyst price target - high: Highest analyst price target - mean: Mean analyst price target - median: Median analyst price target Analyst coverage and available fields vary by symbol.yfinance_get_analyst_estimatesFetch consensus estimates, EPS/revenue trends, revisions, recommendations, and earnings history.yfinance_get_fund_dataFetch ETF or mutual-fund composition, holdings, exposures, ratings, and operating details.yfinance_get_upgrades_downgradesFetch analyst upgrades, downgrades, initiations, and price target changes. Returns analyst actions newest first. Fields supplied by Yahoo Finance can include: - GradeDate: Date and time of the analyst action - Firm: Analyst firm name - ToGrade and FromGrade: New and previous ratings - Action: Rating action, such as upgrade, downgrade, initiation, or reiteration - priceTargetAction: Price target action, such as Raises, Lowers, or Maintains - currentPriceTarget and priorPriceTarget: New and previous price targets Available fields vary by symbol and analyst action.yfinance_get_ticker_newsFetch recent news articles and press releases for a specific stock. Returns JSON array where each news item has: - id: Unique article identifier - content: Object containing: - title: Article headline - summary: Brief article summary - pubDate: Publication date (ISO 8601 format) - provider: Object with displayName (e.g., "Yahoo Finance") and url - canonicalUrl: Object with article url, site, region, lang - thumbnail: Object with image URLs and resolutions - contentType: Type of content (e.g., "STORY", "VIDEO") Use this to track company announcements, market sentiment, and breaking news.yfinance_searchSearch Yahoo Finance for stocks, ETFs, and news articles. Returns JSON with search results based on search_type: - 'quotes': Array of securities with: - symbol: Ticker symbol - shortname/longname: Company name - quoteType: Security type (EQUITY, ETF, MUTUALFUND, etc.) - exchange: Exchange code - sector: Business sector - industry: Industry classification - score: Search relevance score - 'news': Array of articles with: - uuid: Article identifier - title: Headline - publisher: News source - link: Article URL - providerPublishTime: Unix timestamp - relatedTickers: Array of related symbols - thumbnail: Image URLs - 'all': Object with both 'quotes' and 'news' arrays Use this to find ticker symbols, discover related securities, or search financial news.yfinance_screenRun a Yahoo Finance screener query. Supports predefined Yahoo screener keys and custom equity, mutual-fund, or ETF query trees.yfinance_screen_gappersRun a custom equity screener tuned for opening-session stock gappers.yfinance_get_topGet top-ranked financial entities within a sector. This unified tool provides access to various rankings: - ETFs and mutual funds focused on the sector - Largest companies by market capitalization - Fastest-growing companies by revenue/earnings - Best-performing stocks by price appreciation Returns JSON data with relevant metrics for each entity type.yfinance_get_price_historyFetch historical price data and optionally generate technical analysis charts. When chart_type is None, returns Markdown table with columns: - Date: Trading date (index) - Open: Opening price - High: Highest price - Low: Lowest price - Close: Closing price - Volume: Trading volume - Dividends: Dividend payments (if any) - Stock Splits: Split events (if any) When chart_type is specified, returns a chart image: - 'price_volume': Candlestick chart with volume bars - 'vwap': Price with Volume Weighted Average Price overlay - 'volume_profile': Volume distribution by price level Set prepost=True to include pre-market and post-market data when available. Note: Not all period/interval combinations are valid. Minute intervals (1m, 5m, etc.) only work with short periods (1d, 5d).yfinance_get_financialsFetch financial statements (income statement, balance sheet, and cash flow) with historical data. Returns JSON with income statement, balance sheet, and cash flow data across reporting periods. Use the data to analyze trends, calculate ratios, or compare periods.- +3 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Boothcheck
{
"mcpServers": {
"boothcheck": {
"url": "https://boothcheck.com/api/mcp"
}
}
}
Yfinance MCP
{
"mcpServers": {
"narumiruna-yfinance-mcp": {
"command": "uvx",
"args": [
"yfmcp@latest"
]
}
}
}
Frequently asked questions
Boothcheck is categorized under Finance & Fintech and uses a remote HTTP/SSE transport. Yfinance MCP belongs to Finance & Fintech and uses a local stdio subprocess. Pick Boothcheck for finance & fintech work and Yfinance MCP for finance & fintech.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Boothcheck has no declared pricing — check the project's own site. Yfinance MCP is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add boothcheck and narumiruna-yfinance-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Boothcheck has a quality signal of 57/100 (Good) with 0 views, 0 installs and 0 GitHub stars. Yfinance MCP has 64/100 (Good) with 3 views, 0 installs and 204 GitHub stars.