mcp-arcgis-darlington
MCP serverEverything elseDarlington County GIS, Darlington County, South Carolina open geospatial data (ArcGIS).
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use mcp-arcgis-darlington
Install mcp-arcgis-darlington
The server’s own address, for the clients that take one directly. Or connect ahel onceand every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http mcp-arcgis-darlington 'https://gateway.pipeworx.io/arcgis-darlington/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://gateway.pipeworx.io/arcgis-darlington/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=mcp-arcgis-darlington&config=eyJ1cmwiOiJodHRwczovL2dhdGV3YXkucGlwZXdvcnguaW8vYXJjZ2lzLWRhcmxpbmd0b24vbWNwIn0=Open the link and Cursor adds the server at that address.
ChatGPT
https://gateway.pipeworx.io/arcgis-darlington/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add mcp-arcgis-darlington --url 'https://gateway.pipeworx.io/arcgis-darlington/mcp'Run it once, then sign in with codex mcp login mcp-arcgis-darlington if the server asks for an account.
From the project's README
As published by pipeworx-io/mcp-arcgis-darlington in README.md.
Darlington County GIS — Darlington County, South Carolina open geospatial data (ArcGIS).
Part of Pipeworx — an MCP gateway connecting AI agents to 1679+ live data sources.
Tools
| Tool | Description |
|---|---|
search_datasets | Search Darlington County GIS open geospatial datasets (parcels, addresses, zoning & public works) by keyword. Returns each dataset's name, summary, record_count, owner/org, and its Feature Service url — pass that url to query_layer / layer_info. |
query_layer | Query an ArcGIS Feature Service / Map Service layer by its url (from search_datasets). SQL-like where, comma-separated out_fields, order_by, limit, offset. Returns attribute rows (and geometry). Use where="1=1" + out_fields="*" to sample. |
layer_info | Get an ArcGIS Feature/Map Service layer's schema by url: fields (name + type), geometry type, total record count, and capabilities. |
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"arcgis-darlington": {
"url": "https://gateway.pipeworx.io/arcgis-darlington/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/arcgis-darlington/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1679+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
curl -X POST https://gateway.pipeworx.io/v1/tools/arcgis_darlington_search_datasets \
-H 'Content-Type: application/json' \
-d '{"query":"parcels"}'
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/arcgis_darlington_search_datasets. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"arcgis-darlington": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-arcgis-darlington"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-arcgis-darlington
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Arcgis Darlington data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Advanced
- Delivery
- arcgis-darlington MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
io-github-pipeworx-io-arcgis-darlington- Source
- github.com/pipeworx-io/mcp-arcgis-darlington
- Hosted endpoint
https://gateway.pipeworx.io/arcgis-darlington/mcp