Data Masking SkillData Masking Skill

OnlineCredit Usage:1 per callTool:DataMaskingSkill

The tool

Data Masking helps protect privacy and comply with GDPR by automatically detecting and masking personally identifiable information (PII) in text content.

Once your client is connected to the VerveKit MCP server, this appears in its tool list as DataMaskingSkill. 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": "DataMaskingSkill",
  "arguments": {
    "text": "Contact John at [email protected] or call 555-123-4567"
  }
}

What that looks like in a conversation

You don't name the tool — the model picks it. Asking about Contact John at [email protected] or call 555-123-4567 in the terms this source covers is enough for it to reach for DataMaskingSkill 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.

ArgumentTypeExampleDescription
textRequiredstringContact John at [email protected] or call 555-123-4567The text containing sensitive data to mask
typesPremiumarray["email","phone","ssn","credit_card","ip_address","url","date"]Array of data types to mask (default: all types)

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": {
    "masked": "Contact John Doe at [EMAIL] or call [PHONE]. His SSN is [SSN].",
    "detected": {
      "email": 1,
      "phone": 1,
      "ssn": 1,
      "credit_card": 0,
      "ip_address": 0,
      "url": 0,
      "date": 0
    }
  }
}

Fields

FieldTypeExampleDescription
maskedstringContact John Doe at [EMAIL] or call [PHONE]. His SSN is [SSN].Text with sensitive data replaced by masking placeholders
detectedobject{…}Object containing count statistics for each detected data type
detected.emailnumber1Number of email addresses detected and masked in text
detected.phonenumber1Number of phone numbers detected and masked in text
detected.ssnnumber1Number of social security numbers detected and masked in text
detected.credit_cardnumber0Number of credit card numbers detected and masked in text
detected.ip_addressnumber0Number of IP addresses detected and masked in text
detected.urlnumber0Number of URLs detected and masked in text
detected.datenumber0Number of dates detected and masked in text

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 skill isn't part of VerveKit. Check the catalog.
429Brief rate limit. Retrying after a moment succeeds.

Other ways to use Data Masking Skill

Set up Data Masking 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.APIVerveReference →
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 DataMaskingSkill?

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?

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

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