Skip to main content
Glama

fetch_txt

Extract plain text content from any website by providing its URL. Removes HTML formatting for clean, readable output.

Instructions

Fetch a website, return the content as plain text (no HTML)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
headersNoOptional headers to include in the request
urlYesURL of the website to fetch

Implementation Reference

  • The core handler function for the 'fetch_txt' tool. Fetches the HTML, uses JSDOM to strip scripts/styles and extract body textContent, normalizes whitespace, and returns as plain text content.
    static async txt(requestPayload: RequestPayload) {
      try {
        const response = await this._fetch(requestPayload);
        const html = await response.text();
    
        const dom = new JSDOM(html);
        const document = dom.window.document;
    
        const scripts = document.getElementsByTagName("script");
        const styles = document.getElementsByTagName("style");
        Array.from(scripts).forEach((script) => script.remove());
        Array.from(styles).forEach((style) => style.remove());
    
        const text = document.body.textContent || "";
    
        const normalizedText = text.replace(/\s+/g, " ").trim();
    
        return {
          content: [{ type: "text", text: normalizedText }],
          isError: false,
        };
      } catch (error) {
        return {
          content: [{ type: "text", text: (error as Error).message }],
          isError: true,
        };
      }
    }
  • src/index.ts:86-104 (registration)
    Registration of the 'fetch_txt' tool in the ListTools response, including name, description, and input schema.
    {
      name: "fetch_txt",
      description:
        "Fetch a website, return the content as plain text (no HTML)",
      inputSchema: {
        type: "object",
        properties: {
          url: {
            type: "string",
            description: "URL of the website to fetch",
          },
          headers: {
            type: "object",
            description: "Optional headers to include in the request",
          },
        },
        required: ["url"],
      },
    },
  • src/index.ts:140-143 (registration)
    Dispatch logic in CallToolRequestSchema handler that routes 'fetch_txt' calls to Fetcher.txt.
    if (request.params.name === "fetch_txt") {
      const fetchResult = await Fetcher.txt(validatedArgs);
      return fetchResult;
    }
  • Zod schema for request payload (url required, headers optional) used to validate and type inputs for all fetch tools, including fetch_txt.
    import { z } from "zod";
    
    export const RequestPayloadSchema = z.object({
      url: z.string().url(),
      headers: z.record(z.string()).optional(),
    });
    
    export type RequestPayload = z.infer<typeof RequestPayloadSchema>;
  • Private helper method for performing the actual HTTP fetch with custom User-Agent and error handling, used by all Fetcher methods including txt.
    private static async _fetch({
      url,
      headers,
    }: RequestPayload): Promise<Response> {
      try {
        const response = await fetch(url, {
          headers: {
            "User-Agent":
              "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
            ...headers,
          },
        });
    
        if (!response.ok) {
          throw new Error(`HTTP error: ${response.status}`);
        }
        return response;
      } catch (e: unknown) {
        if (e instanceof Error) {
          throw new Error(`Failed to fetch ${url}: ${e.message}`);
        } else {
          throw new Error(`Failed to fetch ${url}: Unknown error`);
        }
      }
    }

Tool Definition Quality

Score is being calculated. Check back soon.

Install Server

Other Tools

Related Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/tokenizin-agency/mcp-npx-fetch'

If you have feedback or need assistance with the MCP directory API, please join our Discord server