Country Grounding Data for AI AgentsCountry Grounding Data for AI Agents

OnlineCredit Usage:1 per callTool:CountryGroundingDataforAIAgents

The tool

Ground agents in verifiable country reference data — 250 nations with capitals, codes and languages — so geo answers rest on real records.

Once your client is connected to the VerveContext MCP server, this appears in its tool list as CountryGroundingDataforAIAgents. It is read-only and open-world: it fetches, it never mutates anything on your side, so most clients will call it without asking you to confirm.

Tool call
{
  "name": "CountryGroundingDataforAIAgents",
  "arguments": {
    "country": "USA"
  }
}

What that looks like in a conversation

You don't name the tool — the model picks it. Asking about USA in the terms this source covers is enough for it to reach for CountryGroundingDataforAIAgents on its own.

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.

Client config
{
  "mcpServers": {
    "vervecontext": {
      "url": "https://api.vervecontext.com/v1/mcp"
    }
  }
}
Endpoint
https://api.vervecontext.com/v1/mcp

Per-client setup — Claude Desktop, 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.

ArgumentTypeExampleDescription
countryRequiredstringUSAThe Country name or ISO code of the country for which you want to get the data (e.g., USA)
majorcitiesPremiumbooleantrueSpecify if you would like to return all major cities of the country found

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client can read fields without parsing prose. status is "ok" on success and error is null; a null field means the value wasn't available for that input, not that the call failed.

Result
{
  "status": "ok",
  "error": null,
  "data": {
    "search": "USA",
    "countries": [
      {
        "name": {
          "common": "United States",
          "official": "United States of America",
          "native": {
            "eng": {
              "official": "United States of America",
              "common": "United States"
            }
          }
        },
        "tld": [
          ".us"
        ],
        "cca2": "US",
        "ccn3": "840",
        "cca3": "USA",
        "cioc": "USA",
        "independent": true,
        "status": "officially-assigned",
        "capital": [
          "Washington D.C."
        ],
        "altSpellings": [
          "US",
          "USA",
          "United States of America"
        ],
        "region": "Americas",
        "subregion": "North America",
        "languages": {
          "eng": "English"
        },
        "latlng": [
          38,
          -97
        ],
        "landlocked": false,
        "flag": "🇺🇸"
      }
    ]
  }
}

Fields

Fields marked Premium need a paid plan. On a plan without them the key is absent rather than wrong, so a model never reasons over a substituted value.
FieldTypeExampleDescription
searchstringUSAThe search term or country code used in the lookup request
countriesarray[1]list of rowsArray of country objects matching the search criteria
countries.0.nameobject{…}The country's names: common, official, and native forms
countries.0.name.commonstringUnited StatesCommon name of the country used in everyday reference
countries.0.name.officialstringUnited States of AmericaOfficial formal name of the country recognized internationally
countries.0.name.nativePremiumobject{…}Native language names of the country keyed by language code
countries.0.name.native.engPremiumobject{…}
countries.0.name.native.eng.officialPremiumstringUnited States of America
countries.0.name.native.eng.commonPremiumstringUnited States
countries.0.tldarray[".us"]Top-level domains associated with the country
countries.0.cca2stringUSTwo-letter country code following ISO 3166-1 alpha-2 standard
countries.0.ccn3Premiumstring840Three-digit country code following ISO 3166-1 numeric standard
countries.0.cca3stringUSAThree-letter country code following ISO 3166-1 alpha-3 standard
countries.0.ciocPremiumstringUSAInternational Olympic Committee country code for sports competitions
countries.0.independentPremiumbooleantrueIndicates whether the country is politically independent
countries.0.statusPremiumstringofficially-assignedOfficial assignment status of the country code in international records
countries.0.capitalarray["Washington D.C."]Array of capital city or cities of the country
countries.0.altSpellingsarray["US","USA","United States of America"]Alternative spellings and abbreviations of the country name
countries.0.regionstringAmericasGeographic region where the country is located globally
countries.0.subregionstringNorth AmericaMore specific geographic subregion classification of the country
countries.0.languagesobject{…}Object mapping language codes to official language names
countries.0.languages.engstringEnglish
countries.0.latlngPremiumarray[38,-97]Array with latitude and longitude coordinates for country center
countries.0.landlockedPremiumbooleanfalseIndicates whether the country has no ocean or sea coastline
countries.0.flagstring🇺🇸Unicode flag emoji representation of the country

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 with 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 search: 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 with a sentence the model can act on, not a bare status code.

StatusWhat it means
400 / 422The arguments didn't validate. The message names the offending one.
401The OAuth session is invalid or expired — reconnect the server.
403Out of credits. Not a bad key — the month's allowance is spent.
404This source isn't part of VerveContext. Check the catalog.
429Brief rate limit. Retrying after a moment succeeds.

Other ways to use Country Grounding Data for AI Agents

Set up Country Grounding Data for AI Agents 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.APIVerveReference →
Give it to an AI agentConnect over MCP and your agent calls it as a native tool — Claude, Cursor, ChatGPT.VerveKitReference →
Use it in Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheetsReference →

Frequently asked questions

Do I have to tell the agent to use CountryGroundingDataforAIAgents?

No. The tool's name and description are in the model's context once the server is connected, so it selects the tool when the question calls for it. Naming it explicitly works too and is useful when you want to force the call.

Does connecting the server expose every tool at once?

Yes — one connection lists the whole VerveContext catalog. Clients with a tool budget can usually filter the list; the credit cost is per call, so an unused tool costs nothing.

What does a call cost?

1 credit each time the tool actually runs. A model that reasons about the tool without calling it costs nothing.

Is there a REST version of this?

Yes — the same source is available as a plain HTTPS endpoint on APIVerve, linked above. Same data, same credits, same account.

What's Next?

Continue your journey with these recommended resources

Was this page helpful?