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qinisolabs/floodwise

by Various

England flood-risk by postcode for AI agents — verified Environment Agency data, not guesses.

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MCP

qinisolabs/floodwise

Added 20 June 2026

#agents #england #environment-agency #flood-risk #insurance #llm #mcp #model-context-protocol

Overview

qinisolabs/floodwise provides flood risk data for England by postcode, sourced from the Environment Agency. It returns verified data for use by AI agents, not probabilistic guesses. The tool is written in TypeScript and exposes an API for programmatic lookup.

Best for

Best for
Developers building AI agents that need authoritative England flood risk data by postcode

Use cases

  • Query flood risk by postcode for England
  • Integrate verified Environment Agency flood data into AI agent workflows
  • Automate flood risk checks for property or planning applications

Notes

qinisolabs/floodwise provides flood risk data for England by postcode, sourced from the Environment Agency. It returns verified data for use by AI agents, not probabilistic guesses. The tool is written in TypeScript and exposes an API for programmatic lookup.

0 stars on GitHub. Last updated 2026-06-19. Licensed Apache-2.0.

Use cases

  • Query flood risk by postcode for England
  • Integrate verified Environment Agency flood data into AI agent workflows
  • Automate flood risk checks for property or planning applications

Pros

  • Uses official Environment Agency data, not approximations
  • Simple postcode-based lookup for quick integration
  • Built for AI agents with a clear TypeScript interface

Cons

  • No community traction (0 GitHub stars) with limited adoption evidence
  • Covers England only, not other regions or countries
  • No disclosed documentation beyond the short description

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Uses official Environment Agency data, not approximations
  • Simple postcode-based lookup for quick integration
  • Built for AI agents with a clear TypeScript interface

Cons

  • No community traction (0 GitHub stars) with limited adoption evidence
  • Covers England only, not other regions or countries
  • No disclosed documentation beyond the short description

Pairs with

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