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DumplingAI

Dumpling AI MCP Server

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by DumplingAI

read-pdf-metadata

Extract metadata from PDF files using URLs or base64-encoded content to analyze document properties and structure for content processing workflows.

Instructions

Extract metadata from PDF files.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputMethodYesInput method
filesYesArray of URLs or base64-encoded PDFs
requestSourceNoRequest source

Implementation Reference

  • Handler function that proxies the request to an external NWS API endpoint to read PDF metadata, using the provided API key and input parameters.
    async ({ inputMethod, files, requestSource }) => {
      const apiKey = process.env.DUMPLING_API_KEY;
      if (!apiKey) throw new Error("DUMPLING_API_KEY not set");
      const response = await fetch(`${NWS_API_BASE}/api/v1/read-pdf-metadata`, {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
          Authorization: `Bearer ${apiKey}`,
        },
        body: JSON.stringify({ inputMethod, files, requestSource }),
      });
      if (!response.ok)
        throw new Error(`Failed: ${response.status} ${await response.text()}`);
      const data = await response.json();
      return { content: [{ type: "text", text: JSON.stringify(data, null, 2) }] };
  • Zod schema for input validation: inputMethod as 'url' or 'base64', array of files (URLs or base64), optional requestSource.
    {
      inputMethod: z.enum(["url", "base64"]).describe("Input method"),
      files: z.array(z.string()).describe("Array of URLs or base64-encoded PDFs"),
      requestSource: z.string().optional().describe("Request source"),
    },
  • src/index.ts:794-818 (registration)
    Registration of the 'read-pdf-metadata' tool on the MCP server, specifying name, description, input schema, and handler function.
    server.tool(
      "read-pdf-metadata",
      "Extract metadata from PDF files.",
      {
        inputMethod: z.enum(["url", "base64"]).describe("Input method"),
        files: z.array(z.string()).describe("Array of URLs or base64-encoded PDFs"),
        requestSource: z.string().optional().describe("Request source"),
      },
      async ({ inputMethod, files, requestSource }) => {
        const apiKey = process.env.DUMPLING_API_KEY;
        if (!apiKey) throw new Error("DUMPLING_API_KEY not set");
        const response = await fetch(`${NWS_API_BASE}/api/v1/read-pdf-metadata`, {
          method: "POST",
          headers: {
            "Content-Type": "application/json",
            Authorization: `Bearer ${apiKey}`,
          },
          body: JSON.stringify({ inputMethod, files, requestSource }),
        });
        if (!response.ok)
          throw new Error(`Failed: ${response.status} ${await response.text()}`);
        const data = await response.json();
        return { content: [{ type: "text", text: JSON.stringify(data, null, 2) }] };
      }
    );

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