"Flood" matching MCP servers:

Enables river discharge monitoring and multi-day flood forecasting with severity assessments via the Open-Meteo Flood API.

MCP server to look up long-term flood risk for England postcodes using official Environment Agency data, and validate UK postcodes.

An MCP server that gives AI assistants direct access to the FEMA National Flood Hazard Layer (NFHL) for flood zone lookups, FIRM panel information, and flood map data in the United States.

MCP server that queries FEMA's National Flood Hazard Layer (NFHL) for flood zone information, including flood zone codes, Base Flood Elevation, FIRM panel numbers, and identifies LOMRs/LOMAs from provided coordinates, enabling automated flood risk lookups.

Compass DaaS exposes vegan-friendly restaurant search, restaurant enrichment, and dietary fit decision tools over the Model Context Protocol.

Enables AI agents to perform due diligence on Irish properties by querying public datasets for planning applications, sold prices, flood risk, radon risk, and zoning.

An MCP server that gives AI agents clean, token-efficient access to US civic & property data — geocoding, census tracts, Opportunity Zones, ACS demographics, and FEMA flood zones — sourced entirely from free federal open data.

MCP server that wraps NVE's open GIS data to provide flood risk and landslide risk point lookups, with explicit uncertainty reporting (e.g., 'no data' vs 'safe') and source references.

Enables natural language queries about UK postcodes and vehicles, including flood risk, crime rate, broadband coverage, property prices, MOT history, and ULEZ compliance.

Provides comprehensive Chinese food nutrition data with tools to search, compare, and filter foods by nutrient values.

MCP server for the FloopFloop API that lets LLM hosts build, poll, and refine projects from natural language prompts.

Provides comprehensive access to Open-Meteo APIs for weather forecasts, historical data, air quality, and marine conditions. It enables LLMs to query specialized meteorological models, perform geocoding, and access advanced climate or flood projections.

Enables AI assistants to access the Open Food Facts database to query detailed food product information, nutritional data, and environmental scores. Supports product lookup by barcode, smart search with filtering, nutritional analysis, product comparison, and dietary recommendations to help users make informed food choices.

Enables AI assistants to access food product information, providing nutritional analysis, product comparisons, and recipe suggestions using the Open Food Facts database.

Enables AI assistants to access food product information from Open Food Facts, including nutritional analysis, product comparisons, recipe suggestions, and allergen checks.

Enables AI agents to resolve Japanese food names to nutrition facts per 100g based on official Japanese food composition data.

MCP server for curated food and dining feeds, providing tools to list, read, and fetch RSS/Atom feeds. Part of the Pipeworx gateway.

An MCP server for food-related queries powered by MiniMax AI, enabling natural language interaction via a chat API.

Enables checking food additive safety, nutrition profiles, pesticide residues, and ingredient lists with regulatory flags and dietary compatibility. All data is sourced from authoritative bodies like JECFA, EFSA, and FDA.

MCP server for AI-native restaurant discovery with three-tier search (verified, menu_indexed, discovered), Menu Protocol menus, and structured menu validation.