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

• usgs-earthquakesA

  SYNTHORA x402 Intelligence MeshB

  SYNTHORA usgs-earthquakes: latest earthquakes (M>=4.5 default, tunable) with PAGER alert level, tsunami flag and ACTIVE SEISMIC CLUSTER detection (>=3 events same zone in 24h) — the actionable signal for insurance-risk and disaster prediction markets. Source: USGS FDSN (official US, real-time, no key). $0.005 USDC x402 Base. [x402: 0.01 USDC per call on Base]

  ConnectorNo auth

• assess_portfolio_climate_disclosureA

  gisgpB

  PAID (200 credits PER PROPERTY, max 25 properties/call) — bulk physical climate-risk disclosure input for a real-estate/asset portfolio (SEC climate disclosure rule / EU CSRD physical-risk reporting). Runs assess_property_hazard for each [lon, lat] property and returns honest aggregate counts (properties with FEMA disaster history, properties with active NOAA alerts) alongside each property's own full result — no invented portfolio-level risk score. Use estimate_cost(tool_name= "assess_portfolio_climate_disclosure", units=<property count>) first to quote. Requires Authorization: Bearer <api_key>. Returns JSON: {ok, evaluated, scored_count, failed_count, failed, properties_with_disaster_ history_10y, properties_with_active_weather_alerts, properties, note}.

  ConnectorNo auth

• fema_search_disastersA

  fema-mcp-serverA

  Search federal disaster declarations by state, incident type, declaration type, date range, and county. Returns deduplicated declaration-level summaries — each disaster number appears once with a designatedAreaCount showing how many counties/municipalities were designated. The disaster number is the chain key for fema_get_disaster, fema_get_public_assistance, and fema_get_housing_assistance. Use declaration_type to filter: DR (major disaster, most common), EM (emergency), FM (fire management). Date filters apply to the declaration date. Use fema_get_disaster to retrieve all designated-area rows for a specific declaration. A search reads the most recent 10,000 designated-area rows; when more match, it returns the declarations dated after the day that window ends, sets truncated, and its notice names the date_to that continues with older declarations.

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• predictA

  cassandra-predictA

  Cassandra unified predictor. From leading signals in public data, returns what is about to happen to an entity — weeks early — across four verticals. domain selects the vertical: 'recall' (consumer product / vehicle / drug / device recall risk from complaint velocity), 'bio' (biotech NIH→trial→SEC catalyst chain), 'recompete' (federal contract recompete-winner shift), 'ma' (government contractor acquisition target). entity is the name to look up (e.g. 'Tesla Model Y', 'Moderna', a contractor or agency name). Returns a leading-signal prediction with lead time — NOT a guarantee, and NOT a claim of any official action.

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• weather_climate_intelA

  gapup-mcpC

  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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• get_disaster_riskA

  DC Hub — Data Center Site Selection & Colocation: Electricity, Power Grid, Gas, FiberA

  Use when a user wants the natural-hazard / disaster risk for a lat/lon — flood, wildfire, hurricane, earthquake, heat, drought, tornado, etc. Grounded in the FEMA National Risk Index (NRI), the authoritative US county-level hazard dataset (live query, never estimated; points outside US NRI coverage return coverage=unavailable). Example: get_disaster_risk lat=33.45 lon=-112.07. Returns {disaster_risk:{composite_score (0-100, higher=worse), rating (Very Low..Very High), national_percentile}, hazards:{Wildfire, Hurricane, Earthquake, Heat Wave, ...: rating}, top_hazards:[{hazard, rating}], coverage (validated|unavailable), source, caveats}. County-level resolution. For chronic water stress use get_water_risk; for one blended site verdict use get_composite_site_score.

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• weather_climate_intelA

  mcp-knowledgeC

  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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• weather_climate_intelA

  gapup-mcpC

  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.

  ConnectorNo auth

• fema_get_disasterA

  fema-mcp-serverA

  Fetch all designated-area rows for a specific FEMA disaster by disaster number (e.g., 4781). Returns every county/municipality designated under the declaration along with programs activated, incident period, and state info. Use fema_search_disasters to find disaster numbers. The returned disaster_number chains to fema_get_public_assistance and fema_get_housing_assistance.

  ConnectorNo auth

• fema_get_public_assistanceA

  fema-mcp-serverA

  Retrieve Public Assistance (PA) funded project records for a disaster or state — shows where federal recovery money was obligated. Returns applicant, damage category, project size and status, federal share obligated, and total obligated amounts. Either disaster_number or state must be provided. Use disaster_number (from fema_search_disasters) to scope to a single declaration, or state to browse all PA projects for a state. PA projects are created only when the PA program is declared (pa_declared: true on the disaster).

  ConnectorNo auth

• axiorank_author_detectorA

  AxioRank: Zero-Trust for AI AgentsA

  Describe a risk in plain English and AxioRank's AI proposes a custom content detector (regex or keyword) and SAVES it DISABLED for your review. An LLM never arms detection unattended. Outbound content categories only (secret/pii/destructive/injection/egress). Requires the `policies:write` scope and an AI-assessments-enabled plan (Team+).

  ConnectorNo auth

• snipe_safetyA

  x402-servicesA

  Full rug/honeypot audit for a token: honeypot detection, buy/sell tax, source verification, mint/pause/blacklist/hidden-owner privileges, proxy check, holder & LP counts, plus a 0-100 risk score and plain-English verdict (AVOID / HIGH RISK / CAUTION / LOOKS OK). Send { address, chain? }. The must-have pre-buy safety gate for any trading agent. [x402 paid tool — price $0.005; POST /api/snipe/safety]

  ConnectorNo auth

• tablepredict_list_competitionsA

  TablePredictA

  List competitions currently configured in TablePredict, including season, prediction mode, roster size, cutoff, and predictor URL. Call this before requesting a roster or building a prediction link. Returns no user data.

  ConnectorNo auth

• lane_location_risk_packA

  LiveDataLinkB

  Compare origin and destination risk for a logistics lane. Runs site-bound hazard/environmental profiles for both addresses and optionally adds FEMA disaster history for each area. Returns source coverage, point-in-time risk evidence, and an operational review checklist. This is informational public-record synthesis, not an insurance rating or route guarantee.

  ConnectorNo auth

• get_disaster_declarationsA

  FEMA DisastersA

  Get FEMA disaster declarations filtered by state, year, or type. Returns federal disaster declarations including major disasters, emergencies, and fire management assistance. Each record includes the disaster number, title, declaration date, and affected area. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'TX', 'FL'). year: Filter by fiscal year of the declaration (e.g. 2023). disaster_type: Declaration type code: 'DR' (major disaster), 'EM' (emergency), or 'FM' (fire management assistance). limit: Maximum number of records to return (default 25, max 1000).

  ConnectorNo auth

• get_public_assistanceA

  FEMA DisastersA

  Get FEMA Public Assistance (PA) grant data for disaster recovery. Returns PA grant obligations that fund debris removal, emergency protective measures, and permanent restoration of infrastructure. Filter by disaster number or state. Args: disaster_number: FEMA disaster number to filter by (e.g. 4737). state: Two-letter US state abbreviation (e.g. 'CA', 'TX'). limit: Maximum number of records to return (default 25, max 1000).

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• get_neighborhood_dataA

  DoorProfit Crime & Neighborhood DataA

  Profile of the neighborhood (or census block group) containing one US address or coordinate pair: demographics, median household income, home values, rent by bedroom count, education attainment, cost-of-living indices, climate and natural-disaster risk. Use this when the question is about who lives in an area or what it costs to live there. Do NOT use it for crime or safety scores (use get_crime_data) — no crime data is returned here. Pass either address or lat+lng, not both. The neighborhood field is null where no data exists for the location. US locations only; requires a DoorProfit API key and consumes 1 call from that key's quota, except for the free test address "500 Main St, Dallas, TX 75202".

  ConnectorNo auth

• disaster_declarationsA

  OpenfemaA

  Look up and COUNT US federal disaster declarations (FEMA DisasterDeclarationsSummaries). Filters: state (2-letter), incidentType (e.g. 'Fire', 'Flood', 'Hurricane', 'Severe Storm'), declarationType ('DR' major disaster, 'EM' emergency, 'FM' fire management), year (fyDeclared, the federal FISCAL year), and since/until for a real calendar date range — use since/until for questions like 'in the past year', which a fiscal year does not answer. Counts are DISTINCT DISASTERS by default, not table rows: FEMA publishes one row per disaster per designated county, so Hurricane Harvey is ~60 rows for Texas but one declaration. Pass designatedArea or grain:'area' for county-level rows. Returns the most recent first.

  ConnectorNo auth

• list_domainsA

  cassandra-predictA

  List Cassandra prediction verticals available via predict(domain, entity), with what each predicts and its data sources.

  ConnectorNo auth

• get_complianceA

  Signal8A

  Get full compliance rules evaluation for a company. Runs Nasdaq/NYSE deficiency detection, bid price tracking, and delinquent filing detection. Returns a comprehensive compliance picture combining SEC filing data, market data, and exchange rules. This is the most thorough compliance check available (25 credits).

  ConnectorNo auth

• disaster_recovery_profileA

  LiveDataLinkB

  One-call disaster-history and recovery read for a US area (county or place), keyed by NAME + state - distinct from location_risk_report, which scores a single site by address/lat-lon. Joins FEMA's OpenFEMA disaster declarations (the area's federally-declared disaster history: incident types, frequency, most-recent event, and the federal-assistance signal - which programs, Individual Assistance / Individuals & Households / Public Assistance / Hazard Mitigation, were authorized) with optional US Census ACS county population for exposure context (keyed off the FIPS codes the FEMA records carry; needs a Census key and degrades gracefully) and an optional best-effort parcel record for property context when an address is given (Maryland statewide / Texas-Harris County only). Returns a readable profile with a headline banding the area's disaster exposure LOW / MODERATE / HIGH from the declaration record. The FEMA leg is keyless and is the core signal; a source that fails is noted, not fatal. INFORMATIONAL public-record synthesis, NOT an insurance rating, a property flood-risk score, or a professional risk assessment.

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