US County Data Skill

OnlineCredit Usage:5 per callTool:USCountyDataSkill

The tool

Give your agent county-level facts. Call it as an MCP tool to pull income, demographics, health and cost-of-living for any US county.

Once your client is connected to the VerveKit MCP server, this appears in its tool list as USCountyDataSkill. 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": "USCountyDataSkill",
  "arguments": {
    "state": "MO",
    "county": "Jackson"
  }
}

What that looks like in a conversation

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

Connecting

One server URL covers every skill 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": {
    "vervekit": {
      "url": "https://api.vervekit.com/v1/mcp"
    }
  }
}

Endpoint

https://api.vervekit.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.

Argument	Type	Example	Description
`state`Required	string	`MO`	The two letter name of the US state the county is in (e.g., MO)
`county`Required	string	`Jackson`	The name of the US county to get data about (e.g. Jackson)

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": {
    "name": "jackson county",
    "state": "MO",
    "age": {
      "0-4": 0.0644100874666257,
      "5-9": 0.06532756955438819,
      "10-14": 0.06595060390235714,
      "15-19": 0.05967616438434107,
      "20-24": 0.059725950234064615,
      "25-29": 0.08192474939936928,
      "30-34": 0.07523353119652466,
      "35-39": 0.06868029092005673,
      "40-44": 0.05831060964906666,
      "45-49": 0.058805623240603636,
      "50-54": 0.05858087569042305,
      "55-59": 0.0674783182624454,
      "60-64": 0.06208437705811146,
      "65-69": 0.05099777955110233,
      "70-74": 0.03891546504962227,
      "75-79": 0.026437708656052324,
      "80-84": 0.01748905778145719,
      "85+": 0.01997123800338828
    },
    "male": 339932,
    "female": 363079,
    "health": {
      "poorhealth": 20.588989742,
      "physicallyunhealthydays": 4.247736361,
      "mentallyunhealthydays": 4.8111015035,
      "lowbirthweightpercent": 9.1518749808,
      "smokerspercent": 20.957241772,
      "obesitypercent": 31.5,
      "foodenvindex": 7.5,
      "physicallyinactivepercent": 23.2,
      "excessivedrinkingpercent": 18.940103365,
      "alcoholimpaireddrivingdeaths": 152,
      "teenbirthrate": 31.109351559,
      "uninsured": 12.486314662,
      "withannualmammogram": 45,
      "vaccinated": 51,
      "childreninpoverty": 19.6,
      "80thpercentileincome": 108296,
      "20thpercentileincome": 23275,
      "childreninsingleparenthouseholds": 33.224850811,
      "violentcrimerate": 941.43198334,
      "averagedailypm25": 9.1,
      "severehousingproblems": 15.347550638,
      "drivealonetowork": 83.470246386,
      "longcommutedrivesalone": 33.7
    },
    "longitude": -94.34749665503394,
    "latitude": 39.016701918102484,
    "education": {
      "lessthanhighschool": 9.4,
      "highschool": 28.3,
      "somecollege": 30.7,
      "bachelors": 31.6

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.

Field	Type	Example	Description
`name`	string	`jackson county`	County name in lowercase format
`state`	string	`MO`	Two-letter state code where county is located
`age`Premium	object	`{…}`	Age distribution percentages by age groups
`age.0-4`	number	`0.0644100874666257`	Percentage of population aged 0-4 years
`age.5-9`	number	`0.06532756955438819`	Percentage of population aged 5-9 years
`age.10-14`	number	`0.06595060390235714`	Percentage of population aged 10-14 years
`age.15-19`	number	`0.05967616438434107`	Percentage of population aged 15-19 years
`age.20-24`	number	`0.059725950234064615`	Percentage of population aged 20-24 years
`age.25-29`	number	`0.08192474939936928`	Percentage of population aged 25-29 years
`age.30-34`	number	`0.07523353119652466`	Percentage of population aged 30-34 years
`age.35-39`	number	`0.06868029092005673`	Percentage of population aged 35-39 years
`age.40-44`	number	`0.05831060964906666`	Percentage of population aged 40-44 years
`age.45-49`	number	`0.058805623240603636`	Percentage of population aged 45-49 years
`age.50-54`	number	`0.05858087569042305`	Percentage of population aged 50-54 years
`age.55-59`	number	`0.0674783182624454`	Percentage of population aged 55-59 years
`age.60-64`	number	`0.06208437705811146`	Percentage of population aged 60-64 years
`age.65-69`	number	`0.05099777955110233`	Percentage of population aged 65-69 years
`age.70-74`	number	`0.03891546504962227`	Percentage of population aged 70-74 years
`age.75-79`	number	`0.026437708656052324`	Percentage of population aged 75-79 years
`age.80-84`	number	`0.01748905778145719`	Percentage of population aged 80-84 years
`age.85+`	number	`0.01997123800338828`	Percentage of population aged 85 years and older
`male`Premium	number	`339932`	Total male population count in county
`female`Premium	number	`363079`	Total female population count in county
`health`Premium	object	`{…}`	Health metrics and indicators for the county
`health.poorhealth`	number	`20.588989742`	Percentage of population reporting poor health status
`health.physicallyunhealthydays`	number	`4.247736361`	Average physically unhealthy days per month
`health.mentallyunhealthydays`	number	`4.8111015035`	Average mentally unhealthy days per month
`health.lowbirthweightpercent`	number	`9.1518749808`	Percentage of low birth weight births
`health.smokerspercent`	number	`20.957241772`	Percentage of population that smokes
`health.obesitypercent`	number	`31.5`	Percentage of population classified as obese
`health.foodenvindex`	number	`7.5`	Food environment index rating for county
`health.physicallyinactivepercent`	number	`23.2`	Percentage of physically inactive population
`health.excessivedrinkingpercent`	number	`18.940103365`	Percentage of excessive alcohol drinkers
`health.alcoholimpaireddrivingdeaths`	number	`152`	Annual alcohol-impaired driving deaths in county
`health.teenbirthrate`	number	`31.109351559`	Birth rate among teenage population
`health.uninsured`	number	`12.486314662`	Percentage of uninsured population
`health.withannualmammogram`	number	`45`	Percentage receiving annual mammogram screening
`health.vaccinated`	number	`51`	Percentage of vaccinated population
`health.childreninpoverty`	number	`19.6`	Percentage of children living in poverty
`health.80thpercentileincome`	number	`108296`	80th percentile income level in dollars
`health.20thpercentileincome`	number	`23275`	20th percentile income level in dollars
`health.childreninsingleparenthouseholds`	number	`33.224850811`	Percentage of children in single-parent households
`health.violentcrimerate`	number	`941.43198334`	Violent crime rate per 100,000 people
`health.averagedailypm25`	number	`9.1`	Average daily PM2.5 air pollution level
`health.severehousingproblems`	number	`15.347550638`	Percentage with severe housing cost burden
`health.drivealonetowork`	number	`83.470246386`	Percentage driving alone to work
`health.longcommutedrivesalone`	number	`33.7`	Percentage with long commute driving alone
`longitude`Premium	number	`-94.34749665503394`	Geographic longitude coordinate of county
`latitude`Premium	number	`39.016701918102484`	Geographic latitude coordinate of county
`education`Premium	object	`{…}`	Educational attainment distribution for county
`education.lessthanhighschool`	number	`9.4`	Percentage with less than high school education
`education.highschool`	number	`28.3`	Percentage with high school education
`education.somecollege`	number	`30.7`	Percentage with some college education
`education.bachelors`	number	`31.6`	Percentage with bachelor's degree or higher
`zipcodes`Premium	array	`["64137","64111","64053"]`	Array of all ZIP codes within the county
`lifeexpectancy`	number	`77.19`	Average life expectancy in years
`avgincome`	number	`47054`	Average annual household income in dollars
`povertyrate`	number	`13.7`	Percentage of population below poverty line
`costofliving`Premium	object	`{…}`	Cost of living metrics for the county
`costofliving.livingwage`	number	`14.55`	Living wage per hour in dollars

Failure modes

Errors come back as tool errors with a sentence the model can act on, not a bare status code.

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

Other ways to use US County Data Skill

Set up US County Data Skill on VerveKit, or reach the same source a different way. Your VerveKit 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 →

Use it in Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheets →Reference →

Ground an agent on itA cited, machine-checkable fact your model can't produce on its own.VerveContext →Reference →

Frequently asked questions

Do I have to tell the agent to use USCountyDataSkill?

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 VerveKit 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?

5 credits 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

Browse all skills

The full catalog for this door

Connect a client

Claude, Cursor, VS Code and the rest

Plans & credits

What a call costs and how usage resets

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