Markdown Table Skill

Overview

Outputs GitHub-flavored markdown tables ready for documentation, README files, and any markdown-compatible platform.

The tool

Once your client is connected to the VerveKit server, this appears in its tool list as MarkdownTableSkill. 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.

Tool call

{
  "name": "MarkdownTableSkill",
  "arguments": {
    "headers": "[\"Name\", \"Age\", \"City\"]",
    "rows": "[[\"John\", 30, \"NYC\"], [\"Jane\", 25, \"LA\"]]"
  }
}

You do not name the tool yourself; the model picks it. Asking about ["Name", "Age", "City"] in the terms this skill covers is enough for it to reach for MarkdownTableSkill 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"
    }
  }
}

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.

Argument	Type	Description
`headers`Required	array	Array of column header names
`rows`Required	array	Array of row arrays containing cell values
`alignment`Optional	string	Column alignment: left, center, right, or array of alignments per column default left

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.

Result

{
  "status": "ok",
  "error": null,
  "data": {
    "markdown": "| Name | Age | City |\n| --- | --- | --- |\n| John Doe | 30 | New York |\n| Jane Smith | 25 | Los Angeles |\n| Bob Johnson | 35 | Chicago |",
    "columnCount": 3,
    "rowCount": 3,
    "cellCount": 12,
    "headers": [
      "Name",
      "Age",
      "City"
    ],
    "alignments": [
      "left",
      "left",
      "left"
    ]
  }
}

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
`markdown`	string	`\| Name \| Age \| City \| \| --- \| --- \| --- \| \| John Doe \| 30 \| New York \| \| Jane Smith \| 25 \| Los Angeles \| \| Bob Johnson \| 35 \| Chicago \|`	Generated GitHub-flavored markdown formatted table
`columnCount`	number	`3`	Total number of columns in table
`rowCount`Premium	number	`3`	Total number of data rows in table
`cellCount`Premium	number	`12`	Total cell count including headers
`headers`	array	`["Name","Age","City"]`	Array of column header names from input
`alignments`Premium	array	`["left","left","left"]`	Array of alignment values for each column

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 skill is not part of VerveKit. Check the catalog.
`429`	Out of credits, or a brief rate limit. The message tells them apart.

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

Documentation Generation: Create formatted tables for README files and technical documentation
Data Presentation: Convert API responses or datasets into readable markdown tables
Report Building: Generate tabular reports in markdown format for various platforms
Content Management: Create consistent table formatting across documentation systems

Other ways to use Markdown Table Skill

Set up Markdown Table 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 →