Retrieve pricing for Oracle Cloud Infrastructure Full Stack Disaster Recovery services to automate disaster recovery across application stacks.
Apache 2.0
306,770 tools. Last updated 2026-07-27 05:16
"GIS data acquisition for disaster detection and risk prediction" matching MCP tools:
- Search and filter US federal disaster declarations (1953–present) by state, incident type, or year. Returns disaster number, title, dates, and programs.MIT
- Computes an institutional risk score (0-100) by analyzing weighted detection engine signals. Returns risk level, narrative, component breakdown, and detection count. Public data, informational only.MIT
- 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.
- Access FEMA NFIP claims data to analyze flood losses, assess property risks, and support disaster planning with verified government records.
- 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
Matching MCP Servers
- AlicenseAqualityAmaintenanceMachine-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
- AlicenseAqualityDmaintenanceAn 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 updated91416MIT
Matching MCP Connectors
FEMA disasters, NOAA weather alerts, USGS earthquakes. 4 tools.
Geospatial MCP server for earthquake, tsunami, volcano, disaster, and FX data queries.
- Assess risk across 10 major ocean freight corridors using port congestion and natural disaster proximity, scoring each lane by its highest-risk waypoint for route comparison and early disruption warning.
- Scans text for AI-generated patterns and computes a detection risk score with specific fix recommendations.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
- Analyze IP addresses for security threats by retrieving ASN data, geographic location, network details, WHOIS information, and security vendor evaluations to support threat detection and risk assessment.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
- Start training the change risk prediction ML model to evaluate IT change risks and improve accuracy.Sleepycat
- Start training the change risk prediction ML model to refine risk assessments for change requests.MIT
- Set acquisition memory depth, acquisition mode, and average count to configure the oscilloscope's acquisition settings.MIT
- Configure disaster recovery strategies for Kafka Schema Registry by initiating the setup workflow to ensure data availability and resilience.PythonMIT
- Stop data acquisition streaming from a PicoScope oscilloscope and receive a summary of captured signal data.
- Set data acquisition downsampling parameters to reduce file size while maintaining signal integrity for PicoScope oscilloscope measurements.
- Calculate optimal stake for prediction markets using win probability, market price, and bankroll. Returns dollar amount and risk rating.MIT
- Check ADL risk levels and insurance fund metrics for derivative contracts. Monitor activation thresholds and pnl ratios to assess deleveraging risk.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