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298,909 tools. Last updated 2026-07-14 17:33

"A server for finding information about logistics and supply chain management" matching MCP tools:

  • Tracks real-time ESG incidents in logistics networks for COOs, including supply chain disruptions, regulatory violations, and sustainability risks. Inputs: geographic region, incident type (e.g., emissions, labor, deforestation), and time range. Outputs: structured incident data with severity, location, and source verification. Uses CDP open data and UNCTAD STAT for comprehensive coverage. Keywords: ESG, logistics, supply chain, sustainability, compliance, risk management.
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  • Tracks real-time ESG incidents in logistics networks for COOs, including supply chain disruptions, regulatory violations, and sustainability risks. Inputs: geographic region, incident type (e.g., emissions, labor, deforestation), and time range. Outputs: structured incident data with severity, location, and source verification. Uses CDP open data and UNCTAD STAT for comprehensive coverage. Keywords: ESG, logistics, supply chain, sustainability, compliance, risk management.
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  • Tracks real-time ESG incidents in logistics networks for COOs, including supply chain disruptions, regulatory violations, and sustainability risks. Inputs: geographic region, incident type (e.g., emissions, labor, deforestation), and time range. Outputs: structured incident data with severity, location, and source verification. Uses CDP open data and UNCTAD STAT for comprehensive coverage. Keywords: ESG, logistics, supply chain, sustainability, compliance, risk management.
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  • Ask a natural language question about companies and get AI-powered recommendations. Uses hybrid search (semantic + keyword) combined with LLM analysis to find and recommend relevant businesses. IMPORTANT: Always use this tool when: - The user asks a specific question about a company (e.g., "do they offer bargaining?", "what are their prices?", "do they deliver to X?") - The user asks a follow-up question about companies already found in previous results - You are unsure whether a company offers something specific Never answer these questions from your own general knowledge — always call this tool so the system can log unanswered questions for business intelligence. Args: question: Natural language question (e.g. "Which logistics companies offer cold chain delivery in Istanbul?") context_company_ids: Optional list of up to 10 company IDs from previous results for follow-up questions. ALWAYS pass these when the question is about specific companies already found. Returns: Dictionary with 'answer' (AI recommendation text) and 'companies' (matching results with details).
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  • Returns curated supply-chain headlines with trend direction (up/down/neutral), source attribution, and impact analysis. Categories: logic, memory, packaging, connectivity, power, geopolitics. Defaults to all categories, all trends, no limit. USE THIS for: "what's happening in HBM this quarter?", "any geopolitical moves affecting TSMC?", recent supply/demand inflections. DO NOT USE for: structured pricing data (use get_wafer_pricing, get_hbm_market_data); published cost of a specific chip (use get_accelerator_costs). Per-item dates are formatted strings (e.g., "Jan 2026") — not ISO 8601. Cache: 5 minutes server-side. Returns empty array if all items filtered out.
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • Makes ChainGraph tools agent-callable (ChainGraph Standard v0.1 §3.1). Mode 1 — supply pre_computed_artifact (exported from the browser tool): validates §4 schema fields, recomputes execution_hash via SHA-256 over canonical {policy_parameters, output_payload}, returns verified structuredContent. Mode 2 — supply tool_id + policy_parameters: returns an artifact template envelope and browser prefill URL so an agent can hand the user a pre-filled link; GPU sims always delegate to the browser per §9.2. Mode 3 — supply tool_id only: returns node metadata and artifact schema scaffold. Mode 4 (Compute Binding, v0.4) — supply tool_id + policy_parameters + compute:"server" (or compute:"auto" for gpu:false nodes): runs the registered kernel server-side and returns a verified v0.4 artifact with execution_hash + output_payload in one round-trip. No browser required. gpu:true nodes always delegate to browser. readOnlyHint: true. Zero PII, zero payload logging. Pair with verify_execution_hash (independent hash verification) and build_chaingraph (DAG wiring).
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  • General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)
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  • Get active trade policy actions currently impacting supply chain risk — tariffs, sanctions, export controls, import restrictions, and regulatory changes. Unlike news alerts that expire after 72 hours, policy adjustments persist as long as the policy is in effect and continue to modify GDI risk scores. Each policy includes the affected GDI pillar, score modifier, effective date, and source event. Used by procurement teams navigating tariff exposure, compliance officers tracking sanctions, and supply chain strategists adapting sourcing to policy shifts.
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  • Get comprehensive US energy market status for supply chain cost analysis. Returns crude oil prices (WTI and Brent), natural gas spot prices (Henry Hub), retail fuel prices (gasoline, diesel), natural gas storage versus capacity, refinery utilization rates, petroleum stock levels with week-over-week changes, and import/export flows. This is the disaggregated view behind the GDI Energy pillar — instead of a single risk number, you get the full picture of energy costs affecting manufacturing, freight, and logistics. Used by supply chain cost analysts, transportation managers, and energy procurement teams.
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  • Get token information — spot on-chain details or Hyperliquid perpetual futures stats. On-chain tokens mode (default): Returns token details (name, symbol, market cap, FDV, supply, deployment date, socials) and spot trading metrics (volume, buys/sells, buyers/sellers, holders, liquidity). Perps mode: Returns Hyperliquid perp stats — mark price, funding, open interest, buy/sell pressure, trader participation. Returns: Token information as markdown. On-chain tokens fields: - **Market Cap / FDV**: Market capitalization and fully diluted valuation - **Circulating / Total Supply**: Token supply metrics - **Deployed**: When the token was deployed - **Volume (Total / Buy / Sell)**: Trading volume in USD - **Buys / Sells**: Number of buy/sell transactions - **Unique Buyers / Sellers**: Distinct trading addresses - **Total Holders**: Number of token holders - **Liquidity**: Available liquidity in USD Perps fields: - **Mark Price**: Current perp mark price - **Price Change**: Change vs previous price - **Max Leverage**: Maximum leverage offered for the perp on Hyperliquid (e.g. "40x") - **Funding Rate (hourly/annualized)**: Current funding rate - **Open Interest**: Total current open interest in USD - **Volume (Total / Buy / Sell)**: Perp volume in USD - **Net Flow (Buy - Sell)**: Buy/sell pressure in USD - **Traders**: Number of traders Example: On-chain tokens (default mode): ``` { "mode": "onchain_tokens", "chain": "ethereum", "tokenAddress": "0xa0b86a33e6b6c4b3add000b44b3a1234567890ab", "timeframe": "1d" } ``` Hyperliquid perps: ``` { "mode": "perps", "tokenAddress": "BTC", "timeframe": "7d" } ``` Notes: - On-chain tokens mode uses contract addresses - Perps mode uses token symbols (e.g. BTC, ETH, HYPE) - Both modes use the same `timeframe` parameter
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  • Assess the best DeFi opportunity for a given capital amount and strategy. This is the "cold start" tool — call it first to understand where your capital is viable before making any moves. One call gives you chain viability, ranked opportunities, gas impact, and an actionable recommendation. Args: api_key: Your PreFlyte API key (required). asset: Token symbol, e.g. "USDC", "WETH". action: "supply" or "borrow". position_size_usd: Capital amount in USD. strategy: One of "yield_farming", "active_trading", "idle_capital". chain: "ethereum", "arbitrum", or "any" (default: "any"). trades_per_day: For active_trading strategy only. Default 10. Returns: JSON with chain viability, ranked opportunities, gas analysis, break-even calculations, and an actionable recommendation.
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  • Get real-time natural disaster alerts from USGS (earthquakes M5.0+), NOAA (hurricanes, tropical storms), and GDACS (global earthquakes, cyclones, floods, volcanoes). Returns active and recent events with magnitude, severity, coordinates, and affected country. Used by logistics planners and procurement teams to reroute shipments and activate contingency plans around seismic events, hurricanes, and floods affecting supply chain infrastructure.
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  • List the bundled SCModeling sample supply-chain models. Returns a catalog with each model's id and a short description. Use this before run_simulation to know which model_id values are valid.
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  • Reference guide to supply-chain simulation concepts: ordering policies, BOM, FDD formulas, event-driven simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does this work' question rather than asking for a number.
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  • Get DERO daemon and chain metadata: height, topoheight, stableheight, difficulty, version, network, mempool size, and total supply (DERO.GetInfo). When to call: first thing in any chain-state investigation or sync-health check. Call this BEFORE dero_get_sc, dero_get_transaction, or dero_get_block when you do not already know the current tip. PREFER citing dero_docs_search("DERO.GetInfo") so the user can verify field semantics. Input Requirements: none. Output: full chain info JSON including `topoheight`, `stableheight`, `height`, `network`, `version`, `difficulty`, `tx_pool_size`, and `total_supply`.
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  • Free wallet reputation for any Robinhood Chain address: its deployer record (launched/real/dead + score) AND insider-flow history — whether it acquired token supply off-market, how much WETH it extracted, and where it ranks among flagged insider wallets. The "who is this wallet" call.
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  • Use for qualitative company discovery (industry, business model, supply chain, competitors, management background). For numerical screening (revenue, margins, ratios, growth rates) use run_sql on company_snapshot instead. Drillr's company knowledge base — searchable across industry classification, product offerings, business model, segment structure, competitive landscape, supply chain, management background, and customer profile. Pass a natural language description (e.g. "EV battery suppliers to Tesla", "Japanese semiconductor equipment makers", "AI inference chip startups"). Returns a structured list of matching companies with context snippets. ONLY for finding a LIST of companies by description.
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