# mcp-arcgis-charlotte

> Use this tool when you need to access and analyze City of Charlotte's geographic information system (GIS) data, such as parcels, zoning, and public works. It enables AI agents to search and query datasets via ArcGIS Feature Services, providing outputs in a format suitable for further analysis. Ideal for use cases requiring spatial data analysis, urban planning, and infrastructure management.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-arcgis-charlotte  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-arcgis-charlotte

## Description

Enables AI agents to search and query City of Charlotte GIS datasets (parcels, zoning, public works) via ArcGIS Feature Services.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fg3pgylcgp)
- **Repository:** <https://github.com/pipeworx-io/mcp-arcgis-charlotte>

## 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": "pipeworx-io-mcp-arcgis-charlotte"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-arcgis-charlotte` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-arcgis-charlotte/pull`

---
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