"GIS data acquisition for disaster detection and risk prediction" matching MCP tools:

• uk_compliance_intelligence

  UKDataAPI

  Assess a UK company's regulatory compliance posture across multiple domains: ICO data protection registration, gender pay gap reporting, modern slavery statements, HSE enforcement notices, environmental permits, and gambling regulation. Returns a Compliance Score (0-100) with EXCELLENT/GOOD/ADEQUATE/CONCERNING/POOR rating and per-domain signals. Use this for pre-acquisition due diligence, supplier compliance checks, or ESG assessments. Companies below regulatory thresholds (e.g., <250 employees for gender pay gap) are scored neutrally, not penalised. For financial risk assessment, use uk_entity_intelligence instead. For director-level risk, use uk_director_intelligence. Sources: ICO, Gender Pay Gap Service, Modern Slavery Registry, HSE, Environment Agency, Gambling Commission.

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• china_ecommerce_intel

  mcp-knowledge

  Chinese e-commerce intelligence for the ZH diaspora (50M+), import-export teams, brand IP enforcement, MENA/Africa entrepreneurs sourcing from China, and brand monitoring. Covers Taobao, Tmall, JD.com, Pinduoduo, 1688.com (B2B) and AliExpress (cross-border). Five modes: • product_search — search products by keyword across CN platforms. Returns title ZH/EN, price CNY + USD estimate, sales 30d, rating, seller info, product URL. • seller_profile — full seller/supplier dossier: factory vs reseller detection, certifications (ISO, BSCI, CE), rating, years in business, main categories. • price_history — 12-month price trend for a product (live current price + seasonal model for CN shopping festivals: 11.11, 6.18, CNY). • brand_monitoring — detect counterfeits and grey market listings: price anomaly detection (>50% below MSRP = suspicious), counterfeit keyword scan, risk score 0-100. • market_intel — category overview: top 5 sellers by market share, avg/median price, volume estimate, price range. Data quality note: LIVE data from Taobao/Tmall/JD/Pinduoduo REQUIRES AICI_RESEARCH_PROXY_URL with CN residential routing (Bright Data -country-cn). Without proxy: AliExpress (cross-border) + curated category fallback available. Input formats for seller_profile: 'platform:id' e.g. 'aliexpress:123456', '1688:87654321', 'tmall:apple-store-official'. Input formats for price_history: AliExpress product URL or numeric product ID.

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• get_esg_score

  DPX — Institutional Cross-Border Settlement

  Get the live counterparty risk score (ESG-denominated) for a wallet address or the protocol default. Returns Environmental, Social, and Governance risk scores (0–100 each), composite weighted average, and the compliance-adjusted settlement fee percentage this score produces. Updated hourly from 6 institutional data sources: WorldBank, IMF, OECD, UN SDG API, ClimateMonitor, and SEC EDGAR. Required by EU SFDR Principal Adverse Impact reporting and CSRD financed emissions disclosure for institutional clients.

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• get_corridor_risk

  SupplyMaven MCP Server

  Monitor risk levels across 10 major ocean freight trade corridors (China-US West Coast, China-US East Coast, China-Mexico, Taiwan-US, India-US, China-Europe, Europe-US, Middle East-Europe, Brazil-US). Each corridor chains origin ports, chokepoints, and destination ports into a single lane scored by its weakest link (highest risk waypoint). Scores combine real-time port congestion data with active natural disaster proximity. Used by logistics planners for route risk comparison, procurement teams for supply chain exposure assessment, and freight forwarders for disruption early warning.

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• audit_dependencies

  Commit — Supply Chain Risk Scoring

  Batch-score multiple npm, PyPI, Cargo, or Go packages for supply chain risk. Takes a list of package names and returns a risk table sorted by commitment score (lowest = highest risk first). Risk flags: - CRITICAL: single publisher + >10M weekly downloads (publish-access concentration risk) - HIGH: new package (<1yr) + high downloads (unproven, rapid adoption = supply chain risk) - WARN: low publisher count + high downloads Perfect for auditing a full package.json, requirements.txt, Cargo.toml, or go.mod — paste your dependency list and get a prioritized risk report. For Go: pass full module paths (e.g., "github.com/gin-gonic/gin", "golang.org/x/net") and set ecosystem="golang". The "maintainers" column shows GitHub contributor count since Go has no centralized publisher concept. Examples: score all deps in a project, compare two similar packages, identify abandonware before it becomes a CVE.

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• weather_climate_intel

  mcp-knowledge

  Physical climate intelligence for insurance underwriting, agritech, logistics, energy trading and ESG/climate risk disclosure. Three modes: (1) forecast — 14-day daily weather forecast with temperature, precipitation, wind and humidity; (2) historical — daily records and monthly aggregates for any date range since 1940, with anomaly detection (P90/P95 heat events, extreme precipitation days); (3) climate_risk — long-term physical risk scoring combining CMIP6 ensemble projections (2020-2050), altitude, FEMA flood zones (US) and historical baselines. Risk dimensions: flood, heat (days >35°C/year), drought (SPI), wildfire, sea-level. Overall score 0-100 (100 = severe). Location: city string or lat/lon coordinates. Sources: Open-Meteo (keyless, global, 1940→2050), Open-Elevation, FEMA NFHL (US), NOAA CDO (optional NOAA_API_KEY env var for US+global station data). SLA: ≤25s p95. Cache: 1h forecast / 24h historical / 7d climate_risk.

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• china_ecommerce_intel

  gapup-mcp

  Chinese e-commerce intelligence for the ZH diaspora (50M+), import-export teams, brand IP enforcement, MENA/Africa entrepreneurs sourcing from China, and brand monitoring. Covers Taobao, Tmall, JD.com, Pinduoduo, 1688.com (B2B) and AliExpress (cross-border). Five modes: • product_search — search products by keyword across CN platforms. Returns title ZH/EN, price CNY + USD estimate, sales 30d, rating, seller info, product URL. • seller_profile — full seller/supplier dossier: factory vs reseller detection, certifications (ISO, BSCI, CE), rating, years in business, main categories. • price_history — 12-month price trend for a product (live current price + seasonal model for CN shopping festivals: 11.11, 6.18, CNY). • brand_monitoring — detect counterfeits and grey market listings: price anomaly detection (>50% below MSRP = suspicious), counterfeit keyword scan, risk score 0-100. • market_intel — category overview: top 5 sellers by market share, avg/median price, volume estimate, price range. Data quality note: LIVE data from Taobao/Tmall/JD/Pinduoduo REQUIRES AICI_RESEARCH_PROXY_URL with CN residential routing (Bright Data -country-cn). Without proxy: AliExpress (cross-border) + curated category fallback available. Input formats for seller_profile: 'platform:id' e.g. 'aliexpress:123456', '1688:87654321', 'tmall:apple-store-official'. Input formats for price_history: AliExpress product URL or numeric product ID.

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• check_environmental_risks

  ReadyPermit Property Intelligence

  Run full environmental risk screening for a property using EPA, USGS, NOAA, and USDA data. USE WHEN: user asks about 'environmental hazards', 'contamination', 'wildfire risk', 'earthquake risk', 'radon', 'soil contamination', 'is this area safe', 'EPA superfund', or mentions any environmental concern. RETURNS: wildfire hazard zone, seismic risk zone, EPA contamination site proximity (Superfund, RCRA, brownfield), radon zone level, soil concerns, and combined risk score. Accepts a street address OR coordinates.

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• uk_compliance_intelligence

  ukdatapi

  Assess a UK company's regulatory compliance posture across multiple domains: ICO data protection registration, gender pay gap reporting, modern slavery statements, HSE enforcement notices, environmental permits, and gambling regulation. Returns a Compliance Score (0-100) with EXCELLENT/GOOD/ADEQUATE/CONCERNING/POOR rating and per-domain signals. Use this for pre-acquisition due diligence, supplier compliance checks, or ESG assessments. Companies below regulatory thresholds (e.g., <250 employees for gender pay gap) are scored neutrally, not penalised. For financial risk assessment, use uk_entity_intelligence instead. For director-level risk, use uk_director_intelligence. Sources: ICO, Gender Pay Gap Service, Modern Slavery Registry, HSE, Environment Agency, Gambling Commission.

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• lookup_parcel_by_address

  kolmo-mcp-server

  Address-first parcel lookup powering the /permits experience. Geocodes a Seattle-area address (King, Pierce, or Snohomish County, WA), resolves the parcel from the county GIS, and returns zoning, setbacks, overlays (shoreline / ECA / flood / historic), lot area, jurisdiction routing, and prior-permit history. Every fact is cited to the city/county source. Use for "what can be built at 123 Main St Seattle?" or before calling check_permit_requirements / estimate_permit_fee for a specific parcel.

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• get_workout_samples

  Pace

  Retrieves detailed time-series data for a workout: HR progression, speed, power, cadence, elevation profile, or GPS route. Requires workout_id from get_workout_list and sample_type ('hr', 'speed', 'power', 'cadence', 'elevation', 'gps'). Data is presented as 1-minute averages. Ideal for progression analysis and pattern detection. Parameters: - workout_id: UUID of the workout from get_workout_list - sample_type: 'hr', 'speed', 'power', 'cadence', 'elevation', or 'gps'

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• run_risk_audit

  ENTIA Entity Verification

  Run an AI-readiness and digital risk audit on any domain. Checks SSL, DNS, structured data presence, and LLM visibility signals. Returns a risk score 0-100 (lower is better, >60 means action recommended) with specific gaps identified. Slow operation (up to 30s). API key required. Rate limit: 5/min.

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• aml_screen

  AgentEconomy Compliance API

  Screen an entity against Anti-Money Laundering (AML) watchlists including OFAC SDN and UN sanctions. Returns risk level, risk score, recommendation (approve/review/reject), and sanctions match details. Uses Jaro-Winkler fuzzy name matching for accurate detection. Cost: $0.05 USDC per screening. Caller must supply a signed X-PAYMENT header on the MCP HTTP request.

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• risk.score

  Koalr

  Score a specific pull request for deployment risk using Koalr's 36-signal model. Returns a 0–100 risk score with a detailed factor breakdown covering change entropy, DDL migration detection, author file expertise, PR size, CODEOWNERS violations, blast radius, coverage delta, and more. Use this to answer "How risky is this PR?" or "Should we merge this before the release?". Read-only — scoring does not modify the PR.

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• risk_terms

  RNWY — AI Agent Trust Intelligence

  Counterparty risk intelligence for any agent. Returns risk tier (low/moderate/elevated/high/severe/critical), raw trust signals, data coverage, and methodology reference. Designed for marketplace operators and escrow providers setting transaction parameters before a deal. Full methodology: https://rnwy.com/risk-intelligence

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• helixar_inspect_mcp

  Helixar Security

  Scan an MCP server (URL or raw manifest JSON) against Helixar's Sentinel detection rules. Returns risk score, findings, and a Claude-generated security brief. Quick mode is free + authless (top 8 rules); deep mode runs all 26 rules with an api_key.

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• get_corridor_risk

  supply-chain-intelligence

  Monitor risk levels across 10 major ocean freight trade corridors (China-US West Coast, China-US East Coast, China-Mexico, Taiwan-US, India-US, China-Europe, Europe-US, Middle East-Europe, Brazil-US). Each corridor chains origin ports, chokepoints, and destination ports into a single lane scored by its weakest link (highest risk waypoint). Scores combine real-time port congestion data with active natural disaster proximity. Used by logistics planners for route risk comparison, procurement teams for supply chain exposure assessment, and freight forwarders for disruption early warning.

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• waveguard_compare

  WaveGuard

  Compare two data items for structural similarity using physics-based fingerprints. Returns cosine similarity (0–1) and Euclidean distance. Use for duplicate detection, behavioral matching, drift analysis, or checking if two tokens/wallets/contracts are structurally similar. Cosine similarity > 0.95 = very similar. < 0.80 = structurally different.

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• waveguard_token_risk

  WaveGuard

  Assess crypto token legitimacy risk. Send metrics from known-good tokens as training (price, volume, holders, liquidity, market_cap, age_days, etc.) and suspect tokens as test. Detects pump-and-dump patterns, fake metrics, and anomalous token profiles. Example: Pull CoinGecko data for 20 established tokens → train. Test a new token → get risk score and which metrics are suspicious.

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• get_trade_ideas

  simplefunctions

  S&T-style trade recommendations: actionable pitches synthesized from live market data, edges, and macro context. Each idea has conviction level, catalyst timing, direction, and risk. No auth required. START HERE when looking for what to trade.

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