Access FEMA NFIP claims data to analyze flood losses, assess property risks, and support disaster planning with verified government records.
134,818 tools. Last updated 2026-05-25 20:17
"GIS data acquisition for disaster detection and risk prediction" matching MCP tools:
- Query FEMA disaster declaration summaries to analyze federal disaster data by state, year, and record count. Returns verified data with quality scoring and source citations for audit purposes.
- Search and filter US federal disaster declarations (1953–present) by state, incident type, or year. Returns disaster number, title, dates, and programs.MIT
- Query FEMA disaster housing assistance data by state and disaster number to obtain registration counts, damage estimates, and approved funding per county for recovery analysis.MIT
- Access the GDACS historical disaster archive from 2000 onwards. Filter by date, event type, country, and alert level to analyze disaster frequency and regional risk.MIT
- Retrieve FEMA Individual Housing Program assistance data for homeowners. View approved amounts, inspections, and damage details by county or zip code for a specific disaster.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceMachine-readable detection lookups for SIEM enrichment and AI agents. Query 800+ LOLBAS and GTFOBins binaries plus process parent-child baselines — get risk levels, abuse categories, and MITRE ATT\&CK mappings without embedding data in prompts.Last updated6Apache 2.0
- AlicenseAqualityCmaintenanceAn MCP server that gives LLMs access to geographic data conversion tools, enabling transformations between different formats like WKT, GeoJSON, CSV, TopoJSON, and KML, as well as performing reverse geocoding.Last updated91715MIT
Matching MCP Connectors
Geospatial MCP server for earthquake, tsunami, volcano, disaster, and FX data queries.
FEMA disasters, NOAA weather alerts, USGS earthquakes. 4 tools.
- Stop data acquisition streaming from a PicoScope oscilloscope and receive a summary of captured signal data.
- Retrieve historical CoinGlass Derivatives Risk Index (CDRI) data to assess market risk. Use page and limit parameters to control output.MIT
- List active markets from the registry with filters by venue, market class (perp, spot, prediction), and issuer. Returns data including HIP-4 outcome contracts for binary markets.MIT
- Retrieve active exploitation data for specific vulnerabilities to assess risk, prioritize patching, and inform incident response decisions based on threat actor activity.Apache 2.0
- Analyze cost time-series data for spend analysis and spike detection. Returns summary total cost, average cost per request, and per-bucket costs.MIT
- Query FTC Hart-Scott-Rodino early termination notices for merger and acquisition filings to monitor companies that received early termination of the HSR waiting period.
- Create an AI prediction agent to estimate binary outcome probabilities using expert consensus, confidence intervals, and text/image inputs without historical data.PythonMIT
- Analyze any email address for spam trap risk using 13 signals including domain age, DNSBL listing, and pattern trust. Get risk level, trap type, and confidence score to protect sender reputation and improve deliverability.MIT
- Get probability predictions for binary outcomes using an existing Chronulus prediction agent. Receive consensus estimates with expert explanations and confidence intervals.PythonMIT
- Assess a token's security risk with a score from 0 to 100. Analyzes honeypot risk, owner permissions, holder concentration, taxes, and source verification. Returns risk band and structured findings for informed trading decisions.MIT
- Retrieve detailed exploitation data for a specific vulnerability incident using its unique identifier to determine if it has been exploited in the wild and identify the detection source.Apache 2.0
- Retrieve a real-time quote for prediction market outcomes using live orderbook data. Returns bid, ask, mid price, spread, and implied probability for yes/no outcomes on platforms like Polymarket and Kalshi.MIT
- Retrieve risk assessment scorecards to evaluate forecasting safety concerns and justify warnings about prediction implications. Use session IDs to access markdown or JSON formatted reports.PythonMIT
- Assess cross-protocol liquidation risk for a wallet's lending positions. Get health factor, USD-at-risk, and recommendations across Aave V3, Compound v3, Spark Lend, and Morpho Blue.MIT