@pipeworx/usda-soil
MCP serverEverything elseUSDA-NRCS Soil Data Access over SSURGO, the field-surveyed US soil map, the soil at any US…
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use @pipeworx/usda-soil
Install @pipeworx/usda-soil
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 --scope user pipeworx-usda-soil 'https://gateway.pipeworx.io/usda-soil/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/usda-soil/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=pipeworx-usda-soil&config=eyJ1cmwiOiJodHRwczovL2dhdGV3YXkucGlwZXdvcnguaW8vdXNkYS1zb2lsL21jcCJ9Open the link and Cursor adds the server at that address.
ChatGPT
https://gateway.pipeworx.io/usda-soil/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 pipeworx-usda-soil --url 'https://gateway.pipeworx.io/usda-soil/mcp'Run it once, then sign in with codex mcp login pipeworx-usda-soil if the server asks for an account.
From the project's README
As published by pipeworx-io/mcp-usda-soil in README.md.
USDA-NRCS Soil Data Access over SSURGO — the detailed US soil survey, mapped by field crews at 1:12,000-1:63,360 and republished annually. Soil at a point, the named soil series inside a map unit with their properties and horizons, and arbitrary SQL over the full survey schema.
Part of Pipeworx — an MCP gateway connecting AI agents to 1679+ live data sources.
Tools
usda_soil_mapunit_at_point(lat, lon)— map unit key, symbol, official name, acreage, farmland class, survey area and its publication date.usda_soil_components(mukey, include_horizons?)— the soil series in a map unit with percentage, taxonomy, drainage class, slope range, hydrologic group, land capability class and hydric rating; optionally the depth horizons with sand/silt/clay, organic matter, pH, available water capacity and Ksat.usda_soil_query(sql)— read-only SELECT over the SSURGO schema.
Auth
Keyless.
Not the same as soilgrids
soilgrids is ISRIC's 250 m machine-learning prediction for the whole globe.
This is the surveyed US ground truth: named series, official taxonomy,
interpretation ratings — and it covers only the United States and its
territories. Use soilgrids outside the US, or where a modelled continuous
surface is wanted instead of a mapped polygon.
Data sources
- https://sdmdataaccess.sc.egov.usda.gov/Tabular/post.rest — POST
{"format":"JSON+COLUMNNAME","query":"<T-SQL>"}.
Traps this pack absorbs:
- It is SQL Server.
TOP n, notLIMIT n. JSON+COLUMNNAMEreturns an array of arrays, not objects —Table[0]is the column-name row.runSqlzips them into objects.- Errors come back as OGC XML with a 400, and the first 300 characters are
entirely XML-namespace boilerplate, so slicing the raw body hides the one
sentence that names the problem.
summarizeErrorBodyfrom@pipeworx/sharedunwraps the<ServiceException>; a bad column now readsUSDA Soil Data Access: 400 Invalid query: Invalid column name 'nosuchcolumn'. (from the upstream's XML error document). - A valid SELECT that matches nothing returns an empty
Table, not an error —usda_soil_querysays so explicitly rather than presenting an empty result as a finding. - Column locations are not where you would guess.
saverest(survey area publication date) is onsacatalog, notlegend.farmlndclis onmapunit, notcomponent. Land capability oncomponentisnirrcapcl/nirrcapscl. - Point geometry goes through
SDA_Get_Mukey_from_intersection_with_WktWgs84with WKTpoint(lon lat)— longitude first.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"usda-soil": {
"url": "https://gateway.pipeworx.io/usda-soil/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/usda-soil/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/usda_soil_mapunit_at_point \
-H 'Content-Type: application/json' \
-d '{"lat":41.6,"lon":-93.6}'
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/usda_soil_mapunit_at_point. 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": {
"usda-soil": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-usda-soil"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-usda-soil
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 Usda Soil data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Advanced
- Delivery
- usda-soil MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Catalog kind
- mcp-server
- Key
io-github-pipeworx-io-usda-soil- Source
- github.com/pipeworx-io/mcp-usda-soil
- Hosted endpoint
https://gateway.pipeworx.io/usda-soil/mcp