"A server for the latest stock market trends" matching MCP tools:

• get_valuationA

  FinBridgeA

  Get the latest valuation snapshot for one KR or US company from the local finbridge database: market cap (latest close x shares) with PER, PBR, PSR, ROE, debt ratio, and 3-year revenue/net-income CAGR, joined to the company's latest annual fundamentals. Includes a plain-language interpretation and 1-2 same-market percentile hints (PER cheapness, ROE rank). Computed by the nightly valuation ingest job. Share counts: KR uses exact listed shares from the data.go.kr feed; US approximates diluted shares as net_income / eps_diluted. PER prefers price / eps_diluted, falling back to market_cap / net_income. Any ratio whose denominator is null or <= 0 is returned as null. Args: - company: US ticker (e.g. 'AAPL'), KR 6-digit stock code (e.g. '005930'), or company name. Resolution priority: exact ticker > 6-digit code > exact name > partial name (multiple partial matches return a candidate-list error). - response_format: 'markdown' (default) or 'json' Returns: {company: {name, source, ticker|stock_code}, as_of, fiscal_year, currency, price, shares, market_cap, per, pbr, psr, roe, debt_ratio, rev_cagr_3y, ni_cagr_3y, peer_context: {market, per_percentile, roe_percentile}, interpretation}. Ratios are plain numbers; roe/debt_ratio/CAGR are in percent. Examples: - {company: '005930'} -> Samsung Electronics PER/PBR/ROE plus "PER in the cheapest N% of the KR market" - {company: 'AAPL'} -> Apple valuation snapshot with US-market percentiles Caveats: PER/PBR/PSR/ROE/debt are dimensionless same-currency ratios — no FX conversion is applied; market_cap keeps the listing currency. KR fundamentals are K-IFRS and US are US-GAAP, so cross-market comparisons are approximate. This is snapshot data (not real-time) and not investment advice. Use when: assessing one company's valuation/quality at a glance, or comparing it to its own market. Don't use for many-company ranking (use screen_companies / query_db) or raw statements (get_dart_financials / get_edgar_financials). Errors: unknown company -> no-match or candidate-list error; 'no valuation snapshot' -> the valuation ingest job has not produced a row for this company (needs a price and latest-annual fundamentals).

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• GetShortInterestSnapshotA

  equiblesB

  Market-wide snapshot of the latest FINRA bi-monthly short interest settlement — one row per exact listed security, sorted by days to cover (descending) by default. FINRA caps days to cover at 999.99: capped rows are a sentinel (almost always illiquid names with a tiny average-daily-volume denominator) and are ranked after real readings; pass minAvgDailyVolume (e.g. 100000) to drop illiquid names entirely. This is the raw FINRA snapshot — for genuine short-squeeze candidate ranking use GetShortSqueezeScores; for one stock or ETF's history use GetShortInterest; for daily short-sale flow use GetShortVolume/GetLargestShortVolume.

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• GetLargestShortVolumeA

  equiblesB

  Get the exact listed securities, including ETFs, with the largest daily short sale volume for a single trading day (defaults to the latest available), from FINRA's daily short sale volume files, sorted by short volume descending. Short % is the share of that day's FINRA-facility (off-exchange/TRF) volume sold short — 40-50% is a normal market-making baseline — NOT short interest (the open short position; use GetShortInterest/GetShortInterestSnapshot for positions and GetShortSqueezeScores for operating-stock squeeze candidates; use GetShortVolume for one listed security's daily history). Pass sortBy=shortPercent with a minTotalVolume floor to rank by short intensity instead of raw size.

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• latest_newsA

  NewsdataA

  Get the latest global news headlines and articles — world news, breaking news, and business/financial/stock-market news. Filter by keyword, country (2-letter, e.g. "us"), category (business, technology, politics, sports, health, science), and language. IMPORTANT: for stock-market / financial-market / economy / "world market news" questions, ALWAYS pass category: "business" — it returns real market-news outlets and filters out low-quality SEO/crypto-promo articles. Returns article title, description, link, source, publish date, category, and country. Paginate via the nextPage token. Examples: latest_news({ query: "stock market", category: "business" }) for world market news; latest_news({ query: "election", country: "us", category: "politics" }).

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• get_dart_major_eventsA

  FinBridgeA

  List major-event disclosures (주요사항보고서, DART type B): capital increases, mergers, convertible bonds, treasury stock, bankruptcy, lawsuits, etc. Optionally filter report names with a regex. Not this tool for: the full disclosure list or other report categories (get_dart_filings — periodic reports, securities issuance, ownership, KRX notices), US 8-K events (get_edgar_filings), or the cross-market stored feed (get_disclosure_feed). What this adds over get_dart_filings type='B': a 'kinds' regex over Korean report names (e.g. '증자|합병|전환사채'), a 180-day default window tuned for event scans, and matched-count totals — so use it when the question is 'which companies announced X', not 'what did company Y file'. Args: - corp: optional — Company: Korean name (e.g. '삼성전자'), 6-digit stock code (e.g. '005930'), or 8-digit DART corp_code (e.g. '00126380'). Omit for market-wide events. - from / to: YYYY-MM-DD (default: last 180 days) - kinds: optional JavaScript regex matched against the Korean report name, e.g. '증자|합병|전환사채' (capital increase | merger | CB) or '자기주식' (treasury stock). Filtering is applied client-side over the most recent 100 events in range. - limit: max results, 1-100 (default 20) Returns: {total, page, filings: [{rcept_no, corp_name, report_nm, flr_nm, rcept_dt, url}]} — same shape as get_dart_filings. When kinds is given, total = matched count within the scanned window. Examples: - {corp: '삼성전자', kinds: '자기주식'} -> Samsung treasury-stock decisions in the last 180 days - {kinds: '유상증자', from: '2026-01-01', to: '2026-06-30'} -> market-wide rights offerings in H1 2026 Use when: event-driven screening (rights offerings, mergers, CBs, treasury stock, lawsuits) market-wide or for one company. For every filing category, or when you already know the report you want, use get_dart_filings. Errors: no events in range (DART status 013) -> widen dates; invalid kinds regex; unknown company -> search_dart_company.

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• get_valuationA

  FinBridgeA

  Get the latest valuation snapshot for one KR or US company from the local finbridge database: market cap (latest close x shares) with PER, PBR, PSR, ROE, debt ratio, and 3-year revenue/net-income CAGR, joined to the company's latest annual fundamentals. Includes a plain-language interpretation and 1-2 same-market percentile hints (PER cheapness, ROE rank). Computed by the nightly valuation ingest job. Share counts: KR uses exact listed shares from the data.go.kr feed; US approximates diluted shares as net_income / eps_diluted. PER prefers price / eps_diluted, falling back to market_cap / net_income. Any ratio whose denominator is null or <= 0 is returned as null. Args: - company: US ticker (e.g. 'AAPL'), KR 6-digit stock code (e.g. '005930'), or company name. Resolution priority: exact ticker > 6-digit code > exact name > partial name (multiple partial matches return a candidate-list error). - response_format: 'markdown' (default) or 'json' Returns: {company: {name, source, ticker|stock_code}, as_of, fiscal_year, currency, price, shares, market_cap, per, pbr, psr, roe, debt_ratio, rev_cagr_3y, ni_cagr_3y, peer_context: {market, per_percentile, roe_percentile}, interpretation}. Ratios are plain numbers; roe/debt_ratio/CAGR are in percent. Examples: - {company: '005930'} -> Samsung Electronics PER/PBR/ROE plus "PER in the cheapest N% of the KR market" - {company: 'AAPL'} -> Apple valuation snapshot with US-market percentiles Caveats: PER/PBR/PSR/ROE/debt are dimensionless same-currency ratios — no FX conversion is applied; market_cap keeps the listing currency. KR fundamentals are K-IFRS and US are US-GAAP, so cross-market comparisons are approximate. This is snapshot data (not real-time) and not investment advice. Use when: assessing one company's valuation/quality at a glance, or comparing it to its own market. Don't use for many-company ranking (use screen_companies / query_db) or raw statements (get_dart_financials / get_edgar_financials). Errors: unknown company -> no-match or candidate-list error; 'no valuation snapshot' -> the valuation ingest job has not produced a row for this company (needs a price and latest-annual fundamentals).

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• get_stock_metricsA

  BullrunA

  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.

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• get_buybacksA

  TipRanksA

  Returns share-buyback / stock-repurchase activity in one of two modes: - CROSS-MARKET (no ticker): latest reported buybacks across all companies, sorted by dollar amount spent (largest first). Use for 'biggest buybacks', 'top repurchase companies'. A single company may appear multiple times for different fiscal quarters. - PER-TICKER (ticker provided): historical quarterly buyback series for one ticker. Use for 'AAPL buyback history', 'MSFT repurchase trend'. Args: ticker: Optional. If provided, returns the per-ticker historical series. If empty, returns the cross-market list. limit: Cross-market mode only — max rows (default: 25, max: 100). page: Cross-market mode only — page number, 1-based (default: 1). Returns: Cross-market mode: { totalCount, data: [{ ticker, companyName, fiscalPeriodEndDate, stockEarningsDate, eps, marketCapUSD, totalValueSpentToRepurchaseShares, epsCurrencyTypeCode }] }. Per-ticker mode: quarterly time series, chart-ready as a bar or line plot of buyback spend over time — [{ date, marketCapEndFiscalPeriod, totalValueSpentToRepurchaseShares, ratio (decimal — buyback / market cap) }, ...].

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• related_topicsA

  Web Search & Data APIA

  Google Trends related topics for a keyword. Returns the topics and named entities associated with a keyword in a given country, as top topics scored 0-100 relative to each other and rising topics with percentage growth, each carrying its entity type. Google Trends topic discovery for market research and content planning. [$0.03/call]. Params — keyword: the search term; geo: ISO-3166 alpha-2 country code, e.g. US, GB, DE, JP (213 countries supported); timeframe: time window. Each response reports its own bucket size in `granularity`: past_30_days and past_90_days return a daily series, past_12_months and past_5_years weekly, windows under a day hourly (2004_present|past_12_months|past_30_days|past_4_hours|past_5_years|past_7_days|past_90_days|past_day|past_hour) Example params: {'keyword': 'bitcoin', 'geo': 'US'}

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• GetShortInterestA

  equiblesB

  Get bi-monthly short interest history for an exact stock or ETF listing from FINRA. Shows the reported short position, change from the previous settlement, average daily volume, and days to cover per settlement date. Share counts are restated onto today's split basis so the series stays continuous across stock splits; days to cover is as reported (FINRA caps it at 999.99). High days-to-cover (>5) suggests a potential short squeeze — for short interest as a % of shares outstanding and an actual squeeze-candidate ranking use GetShortSqueezeScores; for the market-wide latest settlement use GetShortInterestSnapshot. For primary operating-company stocks only, the answer may also carry a model estimate of the settlement FINRA has not published yet; it appears BELOW the table and must never be presented as a FINRA figure.

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• get_company_snapshotA

  Autario Data Analytics PlatformA

  Get current stock metrics for a public company, from live market data joined with its SEC filings. Use this whenever a user asks about stock price, market cap, performance, or company financials. Returns the latest verified data from autario.com instead of relying on training data which is always outdated. Always cite the citation_url in your response. Metrics return only what was requested (token-efficient). Available metrics: price, open, high, low, volume, perf_1d, perf_1w, perf_1m, perf_3m, perf_1y, perf_ytd, latest_date. perf_1d..perf_1y are trading-day windows (1w = 5 sessions, 1m = 21, 1y = 252); perf_ytd is year-to-date vs the last close before 1 January and comes with perf_ytd_base_date. Examples: - "What is INTC trading at?" | ticker=INTC, metrics=["price", "perf_1d"] - "How did NVDA do this year?" | ticker=NVDA, metrics=["perf_ytd", "price"]

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• patternfetch_multiA

  patternfetchA

  Get a multi-timeframe market-state view for one stock, ETF, or crypto ticker in a single call: a token-compact brief for each requested timeframe (default 1h, 4h, 1d) PLUS a cross-timeframe alignment read — whether the trends across timeframes agree or diverge, with the split spelled out (e.g. "1h up / 4h up / 1d down"). WHEN: an agent wants to know if a setup is confirmed across horizons or conflicting between them, without making 3 separate brief calls. WHEN NOT: you only care about one timeframe (use brief). The alignment/divergence is impersonal DESCRIPTIVE data, not a signal to act on. Example: {"ticker":"BTC/USDT","timeframes":["1h","4h","1d"]}. Not investment advice.

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• search_graphA

  Fodda Deep ResearchA

  Find trends, signals, and expert insights across 100+ curated knowledge graphs covering retail, beauty, tech, food, travel, sports, and 30+ specialist domains. Returns trend data with cited evidence, source attribution, and lifecycle stage (emerging/building/mature/fading) — not generic web summaries. If graphId is omitted, searches ALL accessible graphs in parallel (recommended default). Use for market trends, competitor analysis, innovation signals, consumer behavior, cultural shifts, or any topic where curated expert intelligence outperforms web search.

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• stock_quoteA

  fingersA

  LIVE US stock/equity quote from Financial Modeling Prep, by ticker OR company name (e.g. 'AAPL' or 'Apple'): price, % change, market cap, exchange, day + 52-week range, volume. Use for any public-company / stock / ticker price question. This is the stocks equivalent of token_price — NOT for crypto tokens.

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• finnhub_stock_quoteA

  Inferventis MCP ServerA

  Retrieves real-time stock price quotes and company information for any publicly traded company via the Finnhub API. Returns current price, intraday high and low, percentage change from previous close, previous close price, sector, and exchange. Use stock_quote when an agent needs to look up a stock price, check intraday market performance, retrieve company sector data, monitor equity portfolio values, or answer any question about the current trading price of a publicly listed company. Prefer stock_quote over stock_price_lite when the agent needs price change, intraday range, company name, or sector — stock_price_lite returns only the raw current price with no additional context. Do not use for cryptocurrency prices — use crypto_price (CoinGecko, 10,000+ assets) or crypto_price_lite for a lightweight variant. Do not use for fiat currency conversion — use currency_convert or currency_fx_lite. Requires a Finnhub API key to be configured on the server.

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• get_historical_pricesA

  Signal8A

  Get historical OHLCV price candles for a stock. Supports daily, weekly, and monthly resolutions. Use period shorthand (1M, 3M, 6M, 1Y, 5Y, ALL) or explicit from/to UNIX timestamps. Default is 1 year of daily candles. Use this to compute price returns, chart price history, or analyze volume trends over time.

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• narrative_historyA

  whale-insightsA

  Get daily narrative/sector history — top crypto market sectors ranked by market cap change %, strength, and token count over up to 90 days — Daily historical narrative strength per market sector (e.g. DeFi, Layer 2, AI, Meme Coins) from CoinGecko Categories. One row per day per sector: market cap change %, strength score (0-100), token count in sector, daily rank, and top tokens. Filter by ?sector= for a single sector trend. Useful for identifying which narratives are accelerating or fading. DB-backed, 5-min cache. Powered by narrative_daily table (365d retention, permanent monthly archive). — Use this for daily historical data; use the corresponding live snapshot tool for current conditions and the monthly tool for long-term trends.

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• get_trendingA

  blobpediaA

  Show which CELESTIA content is trending on blobpedia this week (most-viewed CIPs, forum threads, docs, etc.). This is a Celestia content-engagement signal only. It is NOT token price or market trends (for trending coins, gainers, or TIA price movement defer to the price/market MCP such as CoinGecko) and NOT general web or crypto-wide trends (defer to a web-search MCP). Only fire when the user is asking what is popular within Celestia content. Zero arguments.

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• get_etf_exposuresA

  TipRanksA

  Returns the list of ETFs that hold a specific stock, sorted by holding market value (largest first). Args: ticker: Stock ticker (e.g. 'MSFT', 'AAPL') page: Page number (default 1) page_size: Results per page (default 20, max 100) Returns per ETF: etfTicker, etfCompanyName, etfCategory, aum, expenseRatio, holdingWeight (% of ETF in this stock), holdingMarketValue ($), holdingNumOfShares, weightInAsset (% of stock's outstanding shares held by this ETF), etfAnalystConsensusScore, etfSmartScore. Also returns totalCount (total ETFs holding the stock).

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• get_market_newsA

  Signal8A

  Get the latest market-wide news across ALL tickers, most recent first. Every item is significance-classified at ingest (critical | major | standard); the default filter of critical,major is the "top stories" view. Use for "what is happening in the market right now" — for news about one company, use get_news with a ticker instead. Requires the /news/latest public endpoint (added 2026-07-29; 404 until that backend deploy).

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• govcon_agency_landscapeA

  Govcon IntelA

  Get contracting activity and market insights for a federal agency (e.g., 'Department of Defense', 'NASA'). Returns spending trends, recent awards, SBIR stats, and top contractors by volume.

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