CSV to JSON Skill

Overview

CSV to JSON Converter works by parsing CSV data and converting it into JSON objects. It automatically detects columns, handles quoted values, and supports custom delimiters. Maximum file size is 500KB.

Live Test CSV to JSON Skill Skill →

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as CSVtoJSONSkill. 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": "CSVtoJSONSkill",
  "arguments": {
    "csv": "name,age,city\nJohn,30,New York\nJane,25,Los Angeles"
  }
}

You do not name the tool yourself; the model picks it. Asking about name,age,city John,30,New York Jane,25,Los Angeles in the terms this skill covers is enough for it to reach for CSVtoJSONSkill on its own — naming it explicitly also works, and is the way to force the call.

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.

{
  "mcpServers": {
    "vervekit": {
      "url": "https://api.vervekit.com/v1/mcp"
    }
  }
}

https://api.vervekit.com/v1/mcp

Per-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.

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.

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{
  "status": "ok",
  "error": null,
  "data": {
    "row_count": 2,
    "column_count": 3,
    "columns": [
      "name",
      "age",
      "city"
    ],
    "inferredTypes": {
      "name": "string",
      "age": "integer",
      "city": "string"
    },
    "json": [
      {
        "name": "John Doe",
        "age": "30",
        "city": "New York"
      },
      {
        "name": "Jane Smith",
        "age": "25",
        "city": "Los Angeles"
      }
    ]
  }
}

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.

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.

A call costs 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Data Migration

Convert CSV exports from legacy systems to JSON format for modern API integration and database imports

API Integration

Transform CSV data into JSON format for RESTful API consumption and web application processing

Data Analysis

Convert CSV datasets to JSON for easier manipulation in JavaScript, Python, or data analysis tools

File Processing

Automate batch conversion of CSV files to JSON for data pipelines and ETL workflows

Other ways to use CSV to JSON Skill

Set up CSV to JSON 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.

Related

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