Overview
Pass a two-letter ISO country code to fetch its border geometry as standard GeoJSON. The response returns a FeatureCollection containing the country name and boundary coordinates as Polygon or MultiPolygon shapes, accommodating both contiguous landmasses and islands.
Live Test Country Boundaries Grounding Data Source →
The tool
Once your client is connected to the VerveContext server, this appears in its tool list as CountryBoundariesGroundingData. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.
{
"name": "CountryBoundariesGroundingData",
"arguments": {
"country": "CA"
}
}You do not name the tool yourself; the model picks it. Asking about CA in the terms this source covers is enough for it to reach for CountryBoundariesGroundingData on its own — naming it explicitly also works, and is the way to force the call.
Connecting
One server URL covers every source in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.
{
"mcpServers": {
"vervecontext": {
"url": "https://api.vervecontext.com/v1/mcp"
}
}
}https://api.vervecontext.com/v1/mcpPer-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.
Arguments
These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.
| Argument | Type | Description |
|---|---|---|
countryRequired | string | The Country 2 Letter ISO code (e.g., CA) length 2–2 |
What the model gets back
The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.
{
"status": "ok",
"error": null,
"data": {
"features": [
{
"geometry": {
"coordinates": [
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[
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[
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]
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77.96
],
[
-78.26,
78
],
[
-77.72,
77.61
],
[
-78.69,
77.32
],
[
-81.93,
77.68
],
[
-81.17,
77.34
],
[
-82.17,
77.29
],
[
-81.83,
77.16
],
[
-77.78,
76.79
],
[
-81.05,
76.13
],
[
-80.77,
76.42
],
[
-82.73,
76.82
],
[
-82.13,
76.44
],
[
-89.68,
76.57
],
[
-86.74,
77.17
],
[
-88.07,
77.82
],
[
-84.48,
77.29
],
[
-84.61,
77.39
],
[
-83.46,
77.35
],
[
-83.84,
77.46
],
[
-82.32,
78.07
],
[
-83.9,
77.49
],
[
-84.78,
77.52
],
[
-84.43,
77.72
],
[
-84.95,
77.6
],
[
-85.35,
77.73
],
[
-85.05,
77.83
],
[
-85.4,
77.82
],
[
-84.33,
77.9
],
[
-85.68,
77.93
],
[
-84.13,
78.17
],
[
-84.97,
78.2
],
[
-84.64,
78.59
],
[
-85.49,
78.1
],
[
-87.54,
78.14
],
[
-86.86,
78.73
],
[
-82.34,
78.57
],
[
-83.25,
78.83
],
[
-81.48,
79.05
],
[
-84.75,
79.03
],
[
-83.36,
79.05
],
[
-86.49,
79.76
],
[
-85.26,
79.92
],
[
-86.51,
80.3
],
[
-79.9,
79.65
],
[
-83.2,
80.32
],
[
-78.04,
80.57
],
[
-79.96,
80.61
],
[
-76.48,
80.87
],
[
-78.93,
80.88
],
[
-76.75,
81.44
],
[
-80.92,
80.66
],
[
-85.07,
80.51
],
[
-86.74,
80.6
],
[
-82.36,
81.18
],
[
-87.59,
80.63
],
[
-89.47,
80.91
],
[
-84.73,
81.28
],
[
-89.82,
81.01
],
[
-90.35,
81.17
],
[
-87.24,
81.49
],
[
-91.96,
81.66
],
[
-88.08,
82.1
],
[
-84.6,
81.89
],
[
-86.88,
82.2
],
[
-85.05,
82.48
],
[
-79.23,
81.82
],
[
-82.73,
82.4
],
[
-80.58,
82.55
],
[
-81.47,
82.82
],
[
-78.5,
82.68
],
[
-80.43,
82.89
],
[
-79.79,
82.96
],
[
-75.89,
82.59
],
[
-76.23,
82.44
],
[
-75.4,
82.61
],
[
-77.38,
82.99
],
[
-72.63,
82.69
],
[
-73.65,
82.93
],
[
-70.11,
83.11
]
]
]
],
"type": "MultiPolygon"
},
"id": "CA",
"properties": {
"name": "Canada"
},
"type": "Feature"
}
],
"type": "FeatureCollection"
}
}
Response fields
Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.
| Field | Type | Example | Description |
|---|---|---|---|
features | array[1] | Array of GeoJSON feature objects containing boundary data | |
features.0.geometry | object | {…} | Geometric shape object containing coordinates boundary data |
features.0.geometry.coordinates | array | list of lists | Nested array of longitude and latitude coordinate pairs |
features.0.geometry.type | string | MultiPolygon | Geometry type such as MultiPolygon or Polygon |
features.0.id | string | CA | Country ISO code identifier for the boundary feature |
features.0.properties | object | {…} | Feature properties object with additional metadata |
features.0.properties.name | string | Canada | Full country name corresponding to ISO code identifier |
features.0.type | string | Feature | GeoJSON type identifier for individual feature object |
type | string | FeatureCollection | GeoJSON type identifier for feature collection |
Why ground on it
A model can produce something that looks like this answer from its training data, and be confidently out of date or simply wrong. This source returns the current value in a shape you can check, which is the difference between an answer you can cite and one you have to hedge.
Point an evaluation at type: it is the field most worth pinning a claim to, and it is either present and current or absent — never plausibly invented.
Failure modes
Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.
| Status | What it means |
|---|---|
400 / 422 | The arguments did not validate. The message names the offending one. |
401 | The OAuth session is invalid or expired — reconnect the server. |
403 | Blocked by a key restriction or an IP allow-list. Never a bad identity. |
404 | This source is not part of VerveContext. Check the catalog. |
429 | Out of credits, or a brief rate limit. The message tells them apart. |
A call costs 10 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.
Use cases
- Interactive Map Highlighting
- Web developers feed the GeoJSON polygon coordinates into mapping libraries like Leaflet or Mapbox to shade selected nations on click.
- Territory Geofencing
- Logistics systems verify whether GPS points fall within official national border coordinates to trigger country-specific routing and compliance rules.
- Regional Sales Visualizations
- Analytics dashboards color-code market penetration by overlaying country border boundaries directly onto global business reporting maps.
- Spatial Database Population
- Ingest boundary coordinates into PostGIS or BigQuery to run spatial containment queries against user location records.
Other ways to use Country Boundaries Grounding Data
Set up Country Boundaries Grounding Data on VerveContext, or reach the same source a different way. Your VerveContext account and credits work on all of them — one key, one balance.
Call it as a REST APIOne HTTPS endpoint and an x-api-key header, with SDKs for Node, Python and .NET.APIVerve →Reference →
Give it to an AI agentConnect over MCP and your agent calls it as a native tool — Claude, Cursor, ChatGPT.VerveKit →Reference →
Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheets →Reference →
Related
More in Geography:
Country Grounding Data for AI AgentsLookup country dataCountry Languages Grounding DataGet languages spoken in a countryDistance Calculation for AI AgentsCalculate distance between locationsHardiness Zone Grounding DataGet hardiness zone dataLand-or-Sea Grounding DataCheck if coordinates are in the seaReverse Geocoding Grounding DataGet location US from coordinates