Text Summarization Skill

The tool

Let your agent condense long text. Call it as an MCP tool to return a short summary of any article or document in a set number of sentences.

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

{
  "name": "TextSummarizationSkill",
  "arguments": {
    "text": "Artificial intelligence is transforming industries worldwide. Machine learning algorithms can now process vast amounts of data to identify patterns and make predictions. This technology is being applied in healthcare, finance, transportation, and many other sectors."
  }
}

What that looks like in a conversation

You don't name the tool — the model picks it. Asking about Artificial intelligence is transforming industries worldwide. Machine learning algorithms can now process vast amounts of data to identify patterns and make predictions. This technology is being applied in healthcare, finance, transportation, and many other sectors. in the terms this source covers is enough for it to reach for TextSummarizationSkill 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.

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

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.

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.

{
  "status": "ok",
  "error": null,
  "data": {
    "originalWords": 67,
    "summaryWords": 30,
    "percentDifference": 44.78,
    "summary": "Headlines can be used to focus the reader's attention on a particular (or main) part of the article. A news article can include accounts of eyewitnesses to the happening event."
  }
}

Fields

Failure modes

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

Other ways to use Text Summarization Skill

Set up Text Summarization 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.

Frequently asked questions