# geotap-mcp-server

> Use this tool when you need to collect comprehensive environmental data for any US location, solving problems related to risk assessment, urban planning, and environmental monitoring. It aggregates data from 80+ federal sources, including FEMA, EPA, and USGS, providing outputs on flood zones, soils, wetlands, and more. Use it to inform decisions on infrastructure development, ecology, energy, and demographics, with inputs including geographic location and outputs including detailed environmental reports.

Canonical page: https://skillsregistry.net/skills/jcholly-geotap-developer  
JSON: https://api.skillsregistry.net/v1/skills/jcholly-geotap-developer

## Description

ollect comprehensive environmental data from 80+ US federal sources (FEMA, EPA, USGS, NOAA, NRCS, USFWS, DOE, DOT, CDC, Census) for any US location. One tool returns flood zones, soils, wetlands, rainfall, water quality, contamination, seismic risk, infrastructure, ecology, energy, and demographics.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/enbtv61utt)
- **Repository:** <https://github.com/jcholly/geotap-developer>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jcholly-geotap-developer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jcholly-geotap-developer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jcholly-geotap-developer/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt