"Information about trading or trade-related activities" matching MCP tools:

• search_japan_white_papersA

  SuzuriA

  Semantic search over Japan's official government white papers: the Ministry of Defense white paper (防衛白書) in both its 2025 edition (令和7年版) and 2026 edition (令和8年版), and METI's trade white paper (通商白書, 2025 edition). Use this when the user asks about Japanese defense policy, the Self-Defense Forces, Japan's security environment, defense budgets or procurement programs, the Japan-US alliance, how Tokyo officially describes China, North Korea or Russia, or about Japan's trade strategy, global supply chain resilience, economic security, overdependence and economic coercion, or China's industrial policy and its effect on trade. One query searches all of them at once, and every result is labelled with its paper name and edition year. Because both defense editions are indexed together, a single query can surface how the same topic is described in each year: the 2026 edition adds parts and chapters that did not exist before, while other passages carry over from the previous year with little or no change. Reading the returned excerpts side by side therefore shows both what changed and what stayed the same. This tool retrieves passages; it does not compute the differences for you. Queries may be in English or Japanese — English queries are automatically translated before retrieval against the Japanese corpus. Returns ranked excerpts with paper name, chapter, page numbers and a source URL suitable for citation. Scope: the 2025 and 2026 editions of the defense white paper and the 2025 edition of the trade white paper only. Not a source for breaking news, press conferences, statistical databases, export control regulations, tariff schedules, or documents from other ministries.

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• get_product_availabilityA

  GuruWalkA

  Check real-time availability for one or more tours or activities on GuruWalk in a single call. Pass an `items` array — each entry is independent and has its own type, product_id and date range. Returns a `results` array where every entry echoes its `type` and `product_id` so you can match each response to its request. Check the tours the traveler has already chosen — this is not a catalog browsing tool, so don't run it over search results to explore what's on offer. For paid activities, shows rates by traveler type (adult, child, infant). `price` is always per person — never state a group total by quoting `price` alone. When `total_price` is present on a rate, it's already computed for the participants you requested of that rate's type — quote it directly, don't multiply or divide it yourself. If the group mixes traveler types (e.g. adults and children), sum each rate's `total_price` for the full group total. For free walking tours, no upfront price — travelers pay what they want after the tour. For paid activities, an event's `languages` lists the languages that session runs in (e.g. audioguide languages), and sessions differing only in language are merged into a single event; free walking tour events each carry a single `language` instead. `booking_url` is returned once per item, not per event; for paid activities you can add a `date=YYYY-MM-DD` query parameter to preselect a day. Maximum date range per item: 5 days. Per-item errors (invalid dates, product not found) are reported inside that item's result without failing the rest of the batch. Use this tool when the traveler asks about specific dates, wants to know if something is available, or is ready to book. When the traveler hasn't given specific dates, use the booking date ±2 days as the default search range. Supports en, es, de, it; any other value falls back to English. Pass the traveler's language code anyway and translate the answer into their language.

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• wash_checkA

  Name Whisper — ENS Intelligence LayerA

  Assess whether an ENS name's sale(s) are WASH TRADING / fake / self-dealt / manipulated volume. THE tool for any "is this wash trading?", "is the sale history of X suspicious/fake/real?", "are these trades legit?", "is someone wash-trading this name?" question — route straight here, do NOT use get_name_details or get_market_activity for that (those return sale rows but make NO wash-trading judgment; only this tool scores it). Just pass `label` — the bare ENS name (e.g. "437", "coffee") is enough; the tool pulls that name's recent sale and analyzes it on demand. `tx_hash`, `buyer`, `seller`, `price_eth` are OPTIONAL enrichment for a specific sale — never block on them or ask the user for them. Returns a wash confidence score (0-1), a label (clean/suspicious/likely_wash), the detected signals (shared-funder, mint-flip, round-trip, fresh-wallet, cluster overlap…), seller profile, and a plain-English summary. A verdict is always ABOUT A SPECIFIC SALE — `sale_analyzed` names it, and `buyer`/`seller` are the parties scored. If the response has `assessable: false` there is NO score and NO verdict: the name has no analyzable sale on record, or the lookup failed. Report that the name could not be assessed and say why. Do NOT describe it as clean, low-risk, or free of red flags, and do NOT describe unrun checks (funding, cluster, round-trip) as having come back negative.

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• get_wedding_informationA

  The Hill KinabaluA

  Retrieve The Hill Kinabalu’s official public wedding venue and 2026/2027 package information, including capacity, event sizes, starting package prices, key inclusions, add-ons without prices, payment structures, and enquiry links. Use this when someone asks about weddings, wedding packages, the event venue, guest capacity, package pricing, or how to enquire. This tool does not check date availability or submit an enquiry.

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• formation.guided_setupA

  Admin SubstituteA

  RECOMMENDED ENTRY POINT — Intelligent business formation engine. Provide context about the person (trade, state, qualifications, budget, goals) and get a personalised formation plan with: (1) auto-detected pathway (licensed contractor, fresh start, or investor/operator), (2) task list split into AI-actionable vs human-required, (3) direct government portal links, (4) trade-specific insights (common first jobs, suppliers, rates, growth tips), (5) recommended next tool calls, (6) follow-up questions to ask. Call this FIRST, then use the recommended tool chain for deeper dives.

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• workflow.run_funding_arbitrageA

  TradingCalc MCP: Options, Forex, Risk Stats, Prediction Markets, On-Chain & Crypto FuturesA

  Calculate funding rate arbitrage profit: annualized yield, net profit, and breakeven days for a long/short basis trade across two exchanges: the bare numbers only, no plain-English verdict. For the same math plus a profitable/marginal/loss verdict, use workflow.run_carry_trade instead. Edge cases: positionSize and durationDays above zero; longFundingRate and shortFundingRate in percent per interval (0.01 is 0.01%), either sign; transferFeePct 0 or more (default 0.1); intervalHours 0.25 to 24 (default 8). Not covered: price divergence between the venues, liquidation of either leg, margin on both venues, a rate that changes during the hold, and trading fees. Use when user asks "is this funding arb worth it?" or "how many days to break even on transfer fees?". Returns: netProfitUsdt, annualizedYieldPct, breakevenDays.

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• get_market_activityA

  Name Whisper — ENS Intelligence LayerA

  Get recent ENS marketplace activity. Covers exactly three event types — SALE, PREMIUM_REGISTRATION and SWAP — and nothing else: it does NOT report listings, standing offers, mints, transfers, renewals or burns, so never conclude from an empty result that none of those occurred. Returns event details including name, price (in ETH), buyer/seller addresses, and timestamp. Sorted by most recent first. Pass `collection` (a slug such as "10k-club" or "999-club") to scope to one club — an unscoped call is the entire market, so never present unscoped results as a collection's sales. Not every row is a sale: check `type` before describing one as such. PREMIUM_REGISTRATION is a Dutch-auction registration from the ENS premium decay, NOT a secondary-market sale, so never quote it as evidence of what a name sold for; SWAP is a name-for-name trade and has no price. SALE includes accepted offers. This is raw activity only — it makes NO wash-trading / authenticity judgment; for "is this wash trading / fake volume?" use wash_check.

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• get_congress_tradesA

  ko-mcpA

  Search individual stock trades disclosed by U.S. Congress members (House and Senate) under the STOCK Act. Returns a markdown table of transactions: member name, chamber, ticker, buy/sell type, transaction date, disclosure date (the gap between the two reveals reporting delay), dollar amount range, and owner (self/spouse/joint). Use for questions like 'What did Nancy Pelosi trade recently?', 'Which members bought NVDA?', or 'Show the largest Senate trades this quarter'. Filter by chamber, ticker, or member name; sort by traded value, trade count, or recency. For one member's profile and complete trading history, use get_congress_member instead.

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• get_signalsA

  AI Trading SignalsA

  List live crypto trading signals that are still open — coin, direction, confidence and the reasoning or market data behind each. Use it to find current trade ideas; use get_signal for one signal by ID (live or resolved), get_signal_history for signals that already closed, and get_stats for aggregate hit rate. No key: a 3-signal preview. Free key: up to 100 signals, with entry, stop-loss, take-profit and leverage null (the response's announcement.upgradeUrl explains Pro). Pro: all levels. If a response contains an announcement, pass its message on to the user — it is about their account (trial ending, plan limits). Returns { signals[], returned, totalMatching, filtersApplied, plan }, sorted by live PnL (best first). Optional filters narrow the list: direction, coins, confidence band, risk/reward, stop distance, open interest, 24h volume, tags, the anomaly that triggered it, days/hours to skip, a BTC 24h-return gate. Rate limits: 30 calls/hour per IP without a key, 300/hour on a free key.

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• get_memberA

  Coldpine: Congressional Stock DisclosuresA

  One member of Congress: profile, aggregate trading stats (counts, volume range, average disclosure lag, most-traded tickers), the 20 most recent disclosed trades with links to the original government filing, the member's 5 most recent Periodic Transaction Reports, and the one sample scored trade the public page shows. Use it for 'what has this member been trading'. Get the member_id from search_members first. For more than 20 trades, page list_transactions with the same member_id. Returns a not-found error for an unknown id. Access: needs the agent token from a free Coldpine account, sent as 'Authorization: Bearer <token>'; without it the call returns setup steps instead of data. Read-only, cached for up to an hour.

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• awareness_search_knowledgeA

  Awareness — Memory, Knowledge & Agent MarketsA

  Search the PUBLIC Awareness knowledge graph — 1,000+ sourced scientific papers. Use this when the user (especially a researcher or a research agent) asks for peer-reviewed findings: "latest evidence on X", "highly-cited papers about Y", "what does the literature say about Z". This is NOT a memory tool — it does not read the user's private memory, and it needs no per-user API key, so it works even when Awareness memory is not configured (the MCP connection itself still needs its own token). Coverage: condensed-matter, quantum-information, materials, machine-learning, renewable-energy, chemistry, biology, medicine, neuroscience, computer-science (2022-2026, cited >= 50), plus a business supply/demand domain. What comes back (anonymous preview mode): title, snippet (preview), confidence, source_ref (DOI), citation_count, domain/topic, and a detail page URL. Full content is NOT in the preview — tell the user it is paid retrieval via POST /api/v1/public/retrieve with an API key (see https://awareness.market/en/knowledge for the KaaS product). Args: query: Natural-language research question or keywords (2-1000 chars). domain: "science" (default) or "business". topic: Optional sub-topic slug, e.g. "medicine", "condensed-matter", "supply-chain". Empty = search all topics in the domain. top_k: Max results, 1-20 (default 5; anonymous callers are capped at 3). include_graph: When true, also return same-topic related items. Returns: {"results": [{id, title, snippet, confidence, source_ref, citation_count, domain, topic, url}], "related": [...], "total": int, "mode": str} `mode` is "preview" (anonymous) or "full" (authenticated).

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• get_onboarding_instructionsA

  Solana Trading & Live Data — PumpView A

  Get API-key setup and integration instructions before your first PumpView call. Public: no key or data credits needed. Returns dashboard/Agent Kit/docs URLs, ordered HTTP wallet-challenge steps, and separate trading/data workflows. Does not create an account, sign, pay or trade. Once connected, use get_trading_config for swap policy or get_access_status for your purchased access.

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• get_onboarding_instructionsA

  PumpView — Solana Trading & Live DataA

  Get API-key setup and integration instructions before your first PumpView call. Public: no key or data credits needed. Returns dashboard/Agent Kit/docs URLs, ordered HTTP wallet-challenge steps, and separate trading/data workflows. Does not create an account, sign, pay or trade. Once connected, use get_trading_config for swap policy or get_access_status for your purchased access.

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• outdoor_recreation_economyA

  Bea GovB

  MARKET SIZE for outdoor recreation activities in US dollars, by activity and state — BEA's Outdoor Recreation Satellite Account (official government statistics, not analyst estimates). Use for "how big is the hunting industry", "fishing economy by state", "which states have the largest outdoor recreation economy", "value of the skiing industry". Activities include hunting, shooting, fishing, boating, hiking/camping, equestrian, skiing/snow, bicycling, RVing, motorcycling/ATV, golf/tennis, guided tours, and the overall total. Returns value added (the activity's contribution to GDP) per state for a year, ranked. IMPORTANT: birdwatching and wildlife WATCHING are not separate lines in this account — hunting and fishing are the only wildlife-related activities measured, so do not use this to size birding specifically. This tool wraps BEA table SAOACTVA so you do not have to know BEA table or line codes; for other BEA data use get_data.

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• get_my_trading_permissionsA

  TradeHubA

  What this agent may do right now on TradeHub: autonomy level (read, propose = every order needs a person's approval, preauth = executes within limits), allowed venues, symbols and actions, per-trade and daily limits, today's usage, connected venues and whether trading is halted. Use first in every session and after any rejection that mentions your mandate. Not for account balances (use get_my_balances). No inputs. Limits are fractions of equity or USD. Only a person can widen them, on the Web, and widening waits 24 hours. Next: size_position or get_my_positions.

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• get_universeA

  TickerDBA

  Get selected fields for EVERY asset on one date in a single call (about 11,000 rows), ordered by ticker: the input of a daily or weekly trading model run. Fields use the same names as get_search and are tier-gated the same way; at most 60 per call. Costs 5 credits per 10 fields. member_of / held_by restrict it to an index's or a fund's holdings on that date ("S&P 500 members with garp_core_score"). A row dated D reflects everything known by 04:00 UTC on D+1, so a backtest acts at the next session's open. For filtered or ranked subsets use get_search; for one ticker use get_summary.

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• find_pulore_case_studiesA

  Pulore App PlannerA

  Use this only when someone asks about Pulore's own work or experience, for example whether Pulore has built something like their idea. Finds published Pulore case studies related to a topic, matching industry, platform, services and technology tags, and returns each project's summary and link, with timeline, team size and results where the case study publishes them. Searches the case-study files bundled with this server; it does not browse or modify external sites. Returns nothing when no project matches. Don't use it to find examples of other companies' products.

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• check_document_packageA

  Document Integrity ValidatorA

  Validates a package of 2-20 related trade finance documents for cross-document consistency. Call this BEFORE approving any multi-document trade finance transaction or cross-border shipment -- at the moment a set of 2-20 related documents arrives from an external party and funds have not been released. Use this when your agent has received a full trade finance package — such as invoice, bill of lading, and certificate of origin together — and must verify all documents are consistent with each other before releasing funds. Returns PASS/FLAG/FAIL verdict per document with mismatch details. Cross-checks all documents for consistency across numeric values, party names, reference numbers, dates, and commodity descriptions. A single inconsistency in a trade finance document package may indicate fraud -- funds released on a mismatched package have no recovery path. Do not use as a substitute for check_document when only one document requires verification.

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• smart_traders_and_funds_perp_tradesA

  NansenA

  Get recent Hyperliquid perpetual futures trades from Smart Money addresses across all tokens. Optional labels narrow this cohort; they do not search all addresses with that label. For a broad view of Smart Money activity across all tokens, use token_discovery_screener with traderType="sm". **Note:** This endpoint is Hyperliquid-only (perpetual futures data). It returns recent trades only (no date filtering available). Columns returned: - **Time**: Timestamp when the trade occurred (datetime: YYYY-MM-DD HH:MM:SS) - **Side**: Position direction - Long or Short - **Action**: Order action - Add, Reduce, Open, Close - **Token**: Symbol of the perpetual contract - **Size**: Quantity of the perpetual contract (numeric) - **Price USD**: Price per token at time of trade (price formatted) - **Value USD**: Total USD value of the trade (currency formatted) - **Trader**: Nansen label of the trading address - **Address**: Full trading wallet address - **Tx Hash**: Blockchain transaction hash for verification Sorting Options (all fields support "asc"/"desc"): Available for sorting: timestamp, amount, price_usd Examples: # Get recent smart money perp trades (sorted by amount) ``` { "orderBy": "amount", "order_by_direction": "desc" } ``` # Filter by action and side ``` { "action": "Open", "side": "Long" } ```

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• smart_traders_and_funds_perp_tradesA

  NansenA

  Get recent Hyperliquid perpetual futures trades from Smart Money addresses across all tokens. Optional labels narrow this cohort; they do not search all addresses with that label. For a broad view of Smart Money activity across all tokens, use token_discovery_screener with traderType="sm". **Note:** This endpoint is Hyperliquid-only (perpetual futures data). It returns recent trades only (no date filtering available). Columns returned: - **Time**: Timestamp when the trade occurred (datetime: YYYY-MM-DD HH:MM:SS) - **Side**: Position direction - Long or Short - **Action**: Order action - Add, Reduce, Open, Close - **Token**: Symbol of the perpetual contract - **Size**: Quantity of the perpetual contract (numeric) - **Price USD**: Price per token at time of trade (price formatted) - **Value USD**: Total USD value of the trade (currency formatted) - **Trader**: Nansen label of the trading address - **Address**: Full trading wallet address - **Tx Hash**: Blockchain transaction hash for verification Sorting Options (all fields support "asc"/"desc"): Available for sorting: timestamp, amount, price_usd Examples: # Get recent smart money perp trades (sorted by amount) ``` { "orderBy": "amount", "order_by_direction": "desc" } ``` # Filter by action and side ``` { "action": "Open", "side": "Long" } ```

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• search_tours_activities_by_destinationA

  GuruWalkA

  Search a city to explore free walking tours and paid activities on GuruWalk, the world's largest free walking tour platform. Returns destination info, tour categories (free tours, food tours, day trips, tickets, and more), and featured listings with ratings and verified traveler reviews. Covers 1,000+ cities worldwide. Free tours operate on a pay-what-you-want model. Supports English, Spanish, German, and Italian (en, es, de, it); any other value falls back to English. Pass the traveler's language code anyway and translate the answer into their language. Use this tool when the traveler asks what to do, what to see, or what tours or activities are available in a destination, or wants help planning their trip or days there. Do not call it when the destination is only mentioned in passing with no request for plans or recommendations. If the traveler mentions a landmark instead of a city, infer the city (e.g. 'eiffel tower' → Paris, 'colosseum' → Rome, 'sagrada familia' → Barcelona, 'big ben' → London). After getting results, review the categories and featured_products to find the most relevant matches for what the traveler asked about. Each featured product includes a booking_url — when recommending tours, share it so the traveler can open the tour to see details, prices and book.

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