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758,510 tools. Updated 2026-11-08 00:44

"A server for retrieving historical commodity data" matching MCP tools:

  • [RECEIPTS] Per-non-crypto-asset-class forward-return scoreboard (asset_class = stock | index | metal | commodity). Measured on that class's own rows + baseline (stock excess vs SP500; index/metal/commodity absolute). Intel-only: the tradeable badge is informational, non-crypto is not auto-traded yet. status=accruing until a (type,direction) reaches the min sample. Same data as REST /proof?asset_class=. For the crypto board use get_performance or REST /proof. Not financial advice.
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  • Get Total Value Locked for one or many DeFi protocols from DeFiLlama: current USD TVL, 7/30-day change, fees and revenue when reported, per-chain breakdown, and optional daily historical series. Batch multiple protocols via protocols=[...] — batch responses return one compact economic summary per protocol; single-protocol calls add chain and historical detail. Supports 3,000+ protocols; use DeFiLlama slugs ('aave-v3', 'uniswap-v3'); common aliases are auto-corrected. Use when: Use for protocol-level economic questions — size, growth, fees, or revenue of a specific protocol. For 2+ protocols always batch in one call rather than calling per-protocol. Pass include_historical=true with days when a trend is needed; without it the response is a current TVL scalar. For ecosystem-level chain comparisons use get_chain_metrics instead. Limitations: Third-party DeFiLlama analytics, not on-chain truth. Upstream revenue failures surface as revenue_error_type and null economic fields are data gaps — never fabricate values for them. Alternatives: get_chain_metrics, get_yield_rates, get_dex_volume
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  • [RECEIPTS] Per-non-crypto-asset-class forward-return scoreboard (asset_class = stock | index | metal | commodity). Measured on that class's own rows + baseline (stock excess vs SP500; index/metal/commodity absolute). Intel-only: the tradeable badge is informational, non-crypto is not auto-traded yet. status=accruing until a (type,direction) reaches the min sample. Same data as REST /proof?asset_class=. For the crypto board use get_performance or REST /proof. Not financial advice.
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  • Weather data from a global weather data provider — current conditions, short-range forecast, astronomy, historical, marine, and location search. Free, read-only, no wallet needed. Every action requires `q`, a location: a city name (e.g. "Paris"), "lat,lon" (e.g. "48.85,2.35"), a US/UK/Canadian postal code, or an IATA airport code. Pick one `action`: - current: current conditions for `q`. Optional `aqi` (default false) adds basic air quality data. - forecast: forecast for `q`. Optional `days` — this deployment runs on a data plan capped at 3 days, so only 1-3 is accepted; omit for the provider default. Optional `aqi`, `alerts` (default false, adds active weather alerts for the location where available). - astronomy: sunrise/sunset/moonrise/moonset/moon phase for `q` on `date` (required, YYYY-MM-DD). - search: resolve a fuzzy `q` into matching locations (name, region, country, lat/lon) — use this first if you only have an approximate place name and need to disambiguate. - history: past weather for `q` on `date` (required, YYYY-MM-DD, must be yesterday). This deployment enforces a free-tier data plan that only allows yesterday's date — any other date is rejected before a provider call is made. - marine: marine/sailing conditions for `q`. This deployment runs on a data plan limited to 1 day of data with no tide information. Results are for general informational purposes only — do not use them as the sole basis for decisions involving personal safety, aviation, marine navigation, or emergency planning.
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  • Weather data from a global weather data provider — current conditions, short-range forecast, astronomy, historical, marine, and location search. Free, read-only, no wallet needed. Every action requires `q`, a location: a city name (e.g. "Paris"), "lat,lon" (e.g. "48.85,2.35"), a US/UK/Canadian postal code, or an IATA airport code. Pick one `action`: - current: current conditions for `q`. Optional `aqi` (default false) adds basic air quality data. - forecast: forecast for `q`. Optional `days` — this deployment runs on a data plan capped at 3 days, so only 1-3 is accepted; omit for the provider default. Optional `aqi`, `alerts` (default false, adds active weather alerts for the location where available). - astronomy: sunrise/sunset/moonrise/moonset/moon phase for `q` on `date` (required, YYYY-MM-DD). - search: resolve a fuzzy `q` into matching locations (name, region, country, lat/lon) — use this first if you only have an approximate place name and need to disambiguate. - history: past weather for `q` on `date` (required, YYYY-MM-DD, must be yesterday). This deployment enforces a free-tier data plan that only allows yesterday's date — any other date is rejected before a provider call is made. - marine: marine/sailing conditions for `q`. This deployment runs on a data plan limited to 1 day of data with no tide information. Results are for general informational purposes only — do not use them as the sole basis for decisions involving personal safety, aviation, marine navigation, or emergency planning.
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  • Get Total Value Locked for one or many DeFi protocols from DeFiLlama: current USD TVL, 7/30-day change, fees and revenue when reported, per-chain breakdown, and optional daily historical series. Batch multiple protocols via protocols=[...] — batch responses return one compact economic summary per protocol; single-protocol calls add chain and historical detail. Supports 3,000+ protocols; use DeFiLlama slugs ('aave-v3', 'uniswap-v3'); common aliases are auto-corrected. Use when: Use for protocol-level economic questions — size, growth, fees, or revenue of a specific protocol. For 2+ protocols always batch in one call rather than calling per-protocol. Pass include_historical=true with days when a trend is needed; without it the response is a current TVL scalar. For ecosystem-level chain comparisons use get_chain_metrics instead. Limitations: Third-party DeFiLlama analytics, not on-chain truth. Upstream revenue failures surface as revenue_error_type and null economic fields are data gaps — never fabricate values for them. Alternatives: get_chain_metrics, get_yield_rates, get_dex_volume
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server providing global soft-commodity data (cocoa, coffee, sugar, cotton, cashew) with per-call billing in USDC, offering tools for farmgate prices, ICE futures, CFTC COT positioning, and historical series.
    11 npm
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    Stores and retrieves completed defect-triage analyses to find similar past defects during new ticket triage. Provides tools for storing, searching, updating, and listing historical defect records with hybrid retrieval (dense + BM25).
    7
    -

Matching MCP Connectors

  • historical-baseball -- MLB history from Retrosheet game logs and the SABR Lahman Baseball Database…

  • Commodity futures bottom/top signals: 28 futures, verdict + score, scans. Pay-per-call x402.

  • Get reference documentation for the Orderly Public Info API — a zero-auth single endpoint (POST /v1/public/query) for market, account, and platform data selected by a `type` field. Covers 24 query types (marketSummary, accountState, orderbook, candles, topAddresses, whaleContext, etc.); `queryType` accepts exact, partial, or fuzzy names and returns params, response fields, example, weight, and freshness; `category` lists a group (queryType wins if both are supplied); omit both for the overview and rate-limit rules. Read-only bundled docs — it does not call the endpoint. Use instead of get_api_info for zero-auth public data; use get_api_info for authenticated trading, get_indexer_api_info for historical analytics, and get_strategy_vault_api_info for vault data.
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  • Get the wiring instructions for connecting an MCP client to ~alter. The name is historical and this recommends nothing: it hands back connection details, not a suggested tool. Use it when adding ~alter to a new MCP client, or when passing the endpoint to another agent so it can connect for itself. Returns the MCP endpoint URL, a ready-to-paste JSON configuration snippet, and how many tools are callable at each tier. Takes no parameters and reads no member data. Free L0, no authentication required.
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  • 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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  • Returns instructions for migrating from an existing auth provider to PropelAuth in a fullstack Nextjs App Router or Nextjs Pages Router application. If the user is using Next.js as just a frontend (e.g. client-side rendered with or without server routes), use the migrate_to_propelauth_frontend tool. Guidance includes installation and configuration, retrieving user or org information, logging users out, redirecting users to login, and more. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc
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  • Historical arbitrage opportunities — top 5 per day (MCP-compatible) — Returns a daily history of the top 5 cross-exchange arbitrage opportunities detected by the platform. Each day entry lists the 5 highest-spread opportunities saved by the cron job, including token symbol, spread percentage, buy/sell exchanges, and average USD volume. Useful for AI agents answering questions like 'which tokens appear most frequently in arbitrage?' or 'what is the average daily spread?'. Data is accumulated daily; older than 180 days is automatically purged. Response: { days, history: [{date, opportunities: [{symbol, spreadPct, buyExchange, sellExchange, usdVolume}]}], total, updatedAt }. Query parameter: ?days=7 (default 7, max 180). No authentication required. 60 requests/min rate limit. 5-min in-process cache. — 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 historical daily AI analyst summaries — query by date or by analyst+days (max 90 days; use analyst_daily_summary for today's data) — Returns a paginated history of daily AI analyst summaries. Query by specific date (?date=YYYY-MM-DD) to see all analyst summaries for one day, or by analystId (?analystId=chain_hawk&days=30) to get the last N days for one analyst. Maximum 90 days. Only shortSummary is returned (full commentary is Pro-only). Fields per record: analystId, analystName, summaryDate (YYYY-MM-DD), shortSummary, summaryAr, summaryHi, summaryZh, summaryRu, signalCount, confluenceScore, fearGreedScore, btcTrend. No auth required. 60 req/min. — 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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  • Quote an LTL shipment — returns Warp's all-inclusive rate FAST (~1-2s) so the user sees a price immediately. The inline quote card shows the Warp rate plus a 'finding other carrier rates…' loading indicator. IMMEDIATELY follow up by calling ltl_market_options with the same parameters to fill in the multi-carrier comparison (~15s). Provide dims + commodity for an exact firm quote; if you don't have dims, quote anyway — it assumes a standard 48x40x48 pallet (FAK, no freight class) for an instant price. Don't block on asking for pallet dimensions; quote first, then pass real dims for an exact rate. When a palletized load could also move by box truck or van, quote LTL alongside those and show the cheapest valid mode. Do not editorialize the results. Do not declare a winner or recommend a specific carrier. Present Warp's quote first, then list market options as context. Let the user decide.
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  • Put two subjects on the same axis over the same months and compute the difference: two origin countries, two commodity chapters (or HS6 codes), or two US gateways, measured on trade weight, value, unit value, tariff burden or duty paid. Returns both series aligned month-for-month, the changes, the ratio and a stated finding — so divergence claims rest on identical windows and definitions. Use for "is trade shifting from China to Vietnam", "do Indian goods pay more than Mexican goods", "is Houston growing faster than Savannah". For two ORIGINS on a specific commodity it ALSO returns `landed_cost` — the duty-inclusive $/kg for each origin AND the FOB price premium the lower-duty origin can carry at the factory and still match landed customs cost. That headroom % is the exact number to put in front of a buyer ("we can be N% pricier than China and you pay the same landed"); it also reports which origin actually lands cheaper today, so the duty gap is never oversold. Both subjects must be the same kind; to compare more than two, call twice. burden_pct/duty_usd come from nationwide receipts and are not available for kind "gateway". No API key required.
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  • Put two subjects on the same axis over the same months and compute the difference: two origin countries, two commodity chapters (or HS6 codes), or two US gateways, measured on trade weight, value, unit value, tariff burden or duty paid. Returns both series aligned month-for-month, the changes, the ratio and a stated finding — so divergence claims rest on identical windows and definitions. Use for "is trade shifting from China to Vietnam", "do Indian goods pay more than Mexican goods", "is Houston growing faster than Savannah". For two ORIGINS on a specific commodity it ALSO returns `landed_cost` — the duty-inclusive $/kg for each origin AND the FOB price premium the lower-duty origin can carry at the factory and still match landed customs cost. That headroom % is the exact number to put in front of a buyer ("we can be N% pricier than China and you pay the same landed"); it also reports which origin actually lands cheaper today, so the duty gap is never oversold. Both subjects must be the same kind; to compare more than two, call twice. burden_pct/duty_usd come from nationwide receipts and are not available for kind "gateway". No API key required.
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  • Forecast future periods with a linear trend and honest fit quality. PREMIUM (license). For quick planning, not statistical modeling. Typical input {"values": [100, 120, 138, 161], "periods_ahead": 3} returns {"trend_per_period": 20.2, "r_squared": 0.998, "forecast": [180.9, 201.1, 221.3], "caveat": "..."}. Use when a series is roughly linear and fit quality matters as much as the projection. Not for seasonal or cyclical data, and not for measuring growth already observed (growth_rates). Errors: on invalid, missing, or malformed input this tool never raises a protocol error; it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "need at least 4 historical values"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
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  • Get one page of decoded transaction history for an EVM wallet across DeBank-supported chains. Returns send, receive, and approval categories with protocol, token, exchange, gas, and USD metadata. Use the returned next_cursor as start_time to page backward. Use when: Use for wallet activity discovery, protocol interaction history, exchange exposure, and gas analysis. Page backward with next_cursor for older activity. Use get_transaction or decode_transaction when one known transaction needs block-level details. Limitations: DeBank returns at most 20 entries per call and the data may be stale. This tool is not a complete ledger, PnL engine, or cost-basis calculator because historical execution prices and all transfer semantics are not guaranteed. Alternatives: get_transaction, decode_transaction
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  • Forecast future periods with a linear trend and honest fit quality. PREMIUM (license). For quick planning, not statistical modeling. Typical input {"values": [100, 120, 138, 161], "periods_ahead": 3} returns {"trend_per_period": 20.2, "r_squared": 0.998, "forecast": [180.9, 201.1, 221.3], "caveat": "..."}. Use when a series is roughly linear and fit quality matters as much as the projection. Not for seasonal or cyclical data, and not for measuring growth already observed (growth_rates). Errors: on invalid, missing, or malformed input this tool never raises a protocol error; it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "need at least 4 historical values"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
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  • Check the selected service's current runtime readiness, input limits, pricing and retention before use. Returns service and details; ready=false means the underlying service is unavailable. Free cached runtime read; no external probe, payment, analysis or historical document retrieval. Use get_utility_example for a fixed integration sample instead.
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  • Get one page of decoded transaction history for an EVM wallet across DeBank-supported chains. Returns send, receive, and approval categories with protocol, token, exchange, gas, and USD metadata. Use the returned next_cursor as start_time to page backward. Use when: Use for wallet activity discovery, protocol interaction history, exchange exposure, and gas analysis. Page backward with next_cursor for older activity. Use get_transaction or decode_transaction when one known transaction needs block-level details. Limitations: DeBank returns at most 20 entries per call and the data may be stale. This tool is not a complete ledger, PnL engine, or cost-basis calculator because historical execution prices and all transfer semantics are not guaranteed. Alternatives: get_transaction, decode_transaction
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  • Use this when the user wants weather history, historical weather data, historical weather by date and location, or a daily weather data download. Reads station observations and generates Excel and CSV weather logs with rain days for construction delay and thresholds. US only; up to five sites and 366 days, from 1900 through today UTC. Files expire in about an hour. Do not use for forecasts, current conditions or certified weather reports.
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