"Flood" matching MCP servers:

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 LLM agents to explore JavaScript/TypeScript repositories through parsed syntax trees by returning compact file outlines, precise symbol definitions, and local dependency graphs. It keeps access read-only and sandboxed to chosen roots while using a bounded, flood-proof stdio transport.

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.

Instant U.S. property intelligence for AI agents. Zoning, Buildability™ Score, ADU eligibility, flood risk, and more from 20+ government sources. Pay-as-you-go: $5 per analysis (prepaid credits). Free Score available at buildability.us. Get a key at buildability.us/api.

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.

Enables Claude Code, Codex, and other coding-agent sessions on the same machine to message each other, exchange tracked tasks with owners and states, and coordinate through channels, broadcasts, and multi-session asks without typing into terminals. Messages are routed by what the receiver is doing — next tool call, end of turn, or a held-back digest — so a flood of traffic doesn't interrupt active work.

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 solution engineers to log maintenance sites, work journals, and troubleshooting cases into Notion and search past records through natural language conversation. It provides automatic upsert of site details, templated inspection logs, and structured incident analysis via the Notion API.

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 Google Gemini to create and edit pixel art in a live Aseprite document through an iterative observe-analyze-paint-correct loop. Exposes tools for pixel-level painting, geometric shapes, flood fill, palettes, layers, frames, animation, and PNG export, all grouped into atomic undo transactions.

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

Provides per-property multi-peril risk scores (flood, wildfire, wind, hail, crime, etc.) for an address, returning A-F grades and 0-100 scores across 25+ hazard types for insurance underwriting and due diligence.

A Model Context Protocol server that enables Claude to search and access detailed nutritional information from the USDA's FoodData Central database.

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

Scheduling and booking engine for AI agents. Check availability, hold slots, and confirm appointments with two-phase booking and conflict-free resource management.

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.

Enables deploying an Earth Engine MCP server in Docker, integrating with Claude Desktop to perform geospatial analysis using 11 Earth Engine tools for tasks like wildfire risk, flood risk, and agricultural monitoring.

Enables users to track budgets, workouts, medications and health metrics, and meals/nutrition from AI chat clients through MCP, with follow-ups and printable reports.

MCP server for searching Flesh and Blood TCG cards, retrieving print variations, and browsing product catalogs via the CardVault API.

An MCP server that lets you log meals through Claude (and soon ChatGPT) in plain language, using India's official food composition data (IFCT 2017) plus USDA, enabling accurate calorie and macro tracking for Indian dishes with household units and photo logging.