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510,458 tools. Updated 2026-09-04 00:41

"A platform for trading stocks and financial securities" matching MCP tools:

  • Get the stocks whose daily price returns are most (or least) correlated with one stock — Pearson correlation of daily log returns on comparable raw closes (dividends excluded), computed over the trading days both stocks priced, never on raw price levels. Scope picks the candidate universe: Industry (default) ranks the subject's direct industry peers; Sector widens to sibling industries; Market ranges across the ~1,500 largest listed names and surfaces cross-industry relationships the classification misses (suppliers, commodity proxies). direction=Negative flips the ranking to the strongest inverse movers (hedge candidates). Candidates need a $100M market cap and enough overlapping trading days with the subject; each row reports the observation count behind its coefficient. Use GetStockPrices for the underlying series and the screener for fundamentals-based peer sets.
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  • Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.
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  • Get a Chinese-metaphysics signal on a binary prediction-market question (Polymarket/Kalshi style yes/no outcomes). Use when a user — or a trading agent — wants an UNCORRELATED, for-fun read on a market: 'will X happen by date Y'. Returns a lean (yes/no/neutral), a confidence, the 五行 reasoning from the resolution date's energy, and a mandatory disclaimer. This is ENTERTAINMENT and a falsifiable ritual — NOT financial advice. Always present it as a novelty signal, never as a recommendation to place a bet.
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  • Fetch the full record for a single creator by ID or exact platform username. Use this when you already have either: - a canonical creator UUID returned by `search_creators`, `semantic_search_creators`, `autocomplete_creators`, or `find_lookalike_creators`; or - an exact platform+username pair such as platform "instagram" and username "niickjackson". Pass `include: ['profiles']` to also receive the creator's social profile summaries when using a creator UUID. For platform+username inputs, this tool resolves through the profile endpoint and returns the profile record plus the underlying creator record, so you already get the matched profile context. Examples: - User: "Get creator 123e4567-e89b-12d3-a456-426614174000" -> call with id. - User: "Get @niickjackson on Instagram" -> call with platform "instagram" and username "niickjackson", or use `get_profile` if profile metrics are the main need. - User: "Tell me about @niickjackson and include his profiles" -> use platform "instagram" and username "niickjackson"; then use `get_profile`/`get_posts` for platform-specific metrics and content if needed. Use `lookup_profiles` for batch exact profile lookups.
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  • START HERE for any 'why is the market doing this' question. One call gives the whole cross-asset board (equities, the Treasury curve, FX, volatility, commodities), every scored economic release behind it, and the Helious desk's read on what is actually driving the session: whether it is event-driven, flow-driven or quiet, the evidence that read rests on, and the regime yields and stocks have actually been trading in. Use this before the individual board tools: it saves five calls, and it characterises the session rather than leaving you to guess a cause. Market data: answers with numbers on Pro and Ultimate.
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  • Calculate the cash ratio: cash and marketable securities divided by current liabilities — the most conservative liquidity measure. Formula: Cash Ratio = (Cash + Marketable Securities) / Current Liabilities. WHEN TO USE: Use for the strictest view of liquidity, or when a company is in distress and only cash-like assets can be relied on. WHEN NOT TO USE: Do NOT use in isolation for healthy operating businesses — it ignores receivables and inventory that normally convert to cash. BEHAVIOUR: pure deterministic calculation — no side effects, no network or storage access; idempotent and non-destructive; identical inputs always produce identical outputs. Division by zero or non-finite inputs returns an explicit error instead of a number. RETURNS: JSON object { cash_ratio: number (e.g. 0.5 = 0.5x), inputs }. PARAMETERS: cash_and_equivalents (required): Cash and cash equivalents, e.g. 80000. Must be >= 0. marketable_securities (required): Short-term marketable securities, e.g. 30000. Must be >= 0. current_liabilities (required): Total current liabilities, e.g. 220000. Must be > 0.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI agents to execute stock trading operations with built-in risk controls and human approval workflows. Supports paper trading simulation, real brokerage integration (Alpaca, Tradier), backtesting, sentiment analysis, and portfolio management while maintaining strict separation between AI intelligence and trade execution.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Provides read-only MCP tools for market snapshots, position risk, order reconciliation, and daily report previews with deterministic financial calculations, evidence chains, and audit trails.
    MIT

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  • Get congressional securities transactions for a specific ticker (newest first, last year by default). Shows which members of Congress reported a purchase or sale, with transaction and filing dates; amounts are disclosed ranges, not exact values, and Asset identifies the filed instrument (such as stock, option, or bond). Use GetMemberTrades for one member's transactions across all tickers.
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  • Get the stocks 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 squeeze candidates; use GetShortVolume for one stock's daily history). Pass sortBy=shortPercent with a minTotalVolume floor to rank by short intensity instead of raw size.
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  • Validate a UK (GB) VAT number against the HMRC register. UK numbers only. Returns the trading name and address as registered with HMRC for VAT purposes. The VAT-registered trading address often differs from the Companies House registered address — that discrepancy is a due diligence signal worth noting. Non-UK (EU) VAT numbers cannot be validated here — use the EU VIES service for other member states.
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  • Searches stocks by ticker or company name and returns canonical security identities. WHEN TO USE: The user asks to find stocks, a company name is ambiguous, or a workflow specifically needs the canonical CUSIP. WHEN NOT TO USE: - Call analyze_stock directly for an ordinary ticker or CUSIP - Use find_signals when screening across stocks rather than resolving a single name RETURNS: Up to the requested limit (maximum 10) of matching securities, each with CUSIP + ticker + issuer + sector + listing status. VERIFICATION: Cite record-level `source_url` filing or disclosure links when present.
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  • Get a single company catalogue row by its TokenBel internal identifier (field name: uuid). Returns name, full_name, UNP (Belarusian tax ID), industry, logo, and activity flag. Companies are not always the same row as securities issuers; use search_by_name to discover both companies and issuers.
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  • Browse every trading and technical-analysis concept in the Library — paginated, optionally one family. Use to enumerate a topic area or find slugs for library_get_concept; for keyword lookup prefer library_search.
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  • PREFER for HISTORICAL closing prices and daily returns on a specific past date or date range — "what did the S&P 500 close at on August 7", "closing prices and daily returns for these four indices last Friday", "AAPL close on 2026-06-30". Accepts one or more Yahoo Finance symbols (indices ^GSPC/^IXIC/^DJI/^SOX/^RUT, stocks, ^TNX yields, GC=F commodities, BTC-USD crypto, EURUSD=X FX — same symbol space as get_quotes) plus start_date/end_date, and returns each trading day's close WITH the previous close and the computed daily return percent, per symbol. Keyless (Yahoo Finance). Use get_quotes for CURRENT prices; this tool is for any date in the past.
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  • Resolve an ISIN (12-character international securities identifier, e.g. "CH0038863350" or "DE0007164600") to the LEGAL ENTITY that issued the security: its LEI, registered legal name, jurisdiction, and status, via the official GLEIF ISIN-to-LEI mapping. Answers "who issued this security" / "which company is behind ISIN X" for non-US as well as US securities. An ISIN identifies one security while the issuer typically has many — the response says what it resolved TO. A valid ISIN with no mapping yet is reported as unmapped (the mapping lags new issuance), distinct from an invalid ISIN.
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  • List ALL ISINs (securities) issued by a legal entity, from the official GLEIF ISIN-to-LEI mapping. Accepts a 20-character LEI or a company NAME (resolved automatically and echoed back). Answers "what securities has this company issued" / "all ISINs for Nestlé". Returns the full set — bonds, share lines, ADRs — not a single value; an entity that exists but has no mapped ISINs returns an empty set with that stated.
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  • Generate AI-powered platform-optimized content without publishing. Uses AI to create platform-specific text, hashtags, and titles from a prompt or media URL. Respects brand voice profiles if configured. Returns generated content variants for each target platform. Use publish_content to publish the generated content, or publish_ai to generate and publish in one step.
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  • AI Agent Tokenized Stock OS: list canonical tokenized stocks (Robinhood Stock Tokens), ETFs, USDG, and WETH on Robinhood Chain ID 4663. Use for AI agents trading tokenized equities/RWAs. Do NOT use for US brokerage equities (use Robinhood Trading MCP). Only registry addresses are real tokenized stocks.
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  • Get a single token by its TokenBel internal identifier (field name: uuid). Tokens are TokenBel-native tokenized corporate securities on fintech platforms (fainex/finstore/bynex/whitebird), not BCSE-listed tickers. Returns platform, lifecycle status, pricing, coupon rate, and company info.
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  • Return a plain, structured explanation of one or more supported trading-card selling methods: who owns the listing, who fulfills, where it sells, the fee components that apply, and important caveats. Covers eBay (estimated), Pulltrader marketplace, Fulfilled by Pulltrader, branded storefront, in-person POS, and estimated competitor marketplaces (TCGplayer, Mana Pool, Misprint, Fanatics Collect, Goldin). Use this when a seller asks how a method works, what fees a platform charges, or how Pulltrader selling options differ. Do NOT use this to compute a specific payout (use compare_selling_costs) or the price needed for a target net (use calculate_required_sale_price), and do NOT use it to price cards.
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  • Get the full text of one SEC regulation — a US securities regulation codified in 17 CFR (SEC and CFTC) — by its citation or common rule name. Returns the exact regulatory wording currently in force. Answers "what does SEC Rule 10b-5 require", "what is the SEC regulation for X", "read 17 CFR 240.10b-5", "what does Regulation S-K item 303 say", "the SEC disclosure requirement for X". Forgiving input: "240.10b-5", "17 CFR 240.10b-5", "§ 229.303", "230.506(b)" (paragraph stripped to the section), "240.15l-1", "part 240". Common rule names resolve automatically: "Rule 10b-5" -> 240.10b-5, "Rule 10b5-1", "Rule 144", "Rule 506", "Rule 15c3-1" (net capital), "Regulation S-K" -> part 229, "Regulation S-X" -> part 210, "Reg FD" -> 243.100, "Reg NMS" -> part 242, "Reg SHO", "Reg D", "Reg A", "Reg S", "Regulation BI" -> 240.15l-1, "Form ADV" / Investment Advisers Act rules -> part 275, "Rule 206(4)-7". Covers securities regulation across all of Title 17: registration and offerings, disclosure requirements, insider trading, proxy rules, broker-dealer obligations, investment advisers, market structure, and CFTC commodity and derivatives regulation. Pass a whole part (e.g. "229" or "part 240") to get that part's section list. Example: sec_regulation({ citation: "240.10b-5" }) -> employment of manipulative and deceptive devices; sec_regulation({ citation: "Rule 10b-5" }) -> same section via the rule name. Keyless. This pack is the SEC RULES text; the separate `edgar` and `sec-xbrl` packs serve SEC filings data (company filings, XBRL financials).
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