Skip to main content
Glama
DumplingAI

Dumpling AI MCP Server

Official
by DumplingAI

merge-pdfs

Combine multiple PDF files into a single document with configurable metadata and compliance options.

Instructions

Combine multiple PDF files into a single document.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputMethodYesInput method
filesYesArray of URLs or base64-encoded PDFs
metadataNoMetadata for merged PDF
pdfaNoPDF/A compliance
pdfuaNoPDF/UA compliance
requestSourceNoRequest source

Implementation Reference

  • The handler function for the 'merge-pdfs' tool. It proxies the request to an external API at NWS_API_BASE/api/v1/merge-pdfs using the provided input parameters, handles authentication with DUMPLING_API_KEY, and returns the JSON response.
    async ({ inputMethod, files, metadata, pdfa, pdfua, 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/merge-pdfs`, {
        method: "POST",
        headers: {
          "Content-Type": "application/json",
          Authorization: `Bearer ${apiKey}`,
        },
        body: JSON.stringify({
          inputMethod,
          files,
          metadata,
          pdfa,
          pdfua,
          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 defining the input parameters for the 'merge-pdfs' tool: inputMethod (url or base64), files (array of strings), optional metadata object, pdfa compliance option, pdfua boolean, and requestSource.
    {
      inputMethod: z.enum(["url", "base64"]).describe("Input method"),
      files: z.array(z.string()).describe("Array of URLs or base64-encoded PDFs"),
      metadata: z
        .object({
          Title: z.string().optional(),
          Author: z.string().optional(),
          Subject: z.string().optional(),
          Keywords: z.string().optional(),
        })
        .optional()
        .describe("Metadata for merged PDF"),
      pdfa: z
        .enum(["PDF/A-1b", "PDF/A-2b", "PDF/A-3b"])
        .optional()
        .describe("PDF/A compliance"),
      pdfua: z.boolean().optional().describe("PDF/UA compliance"),
      requestSource: z.string().optional().describe("Request source"),
    },
  • src/index.ts:574-619 (registration)
    The server.tool call that registers the 'merge-pdfs' tool with its name, description, input schema, and handler function.
    server.tool(
      "merge-pdfs",
      "Combine multiple PDF files into a single document.",
      {
        inputMethod: z.enum(["url", "base64"]).describe("Input method"),
        files: z.array(z.string()).describe("Array of URLs or base64-encoded PDFs"),
        metadata: z
          .object({
            Title: z.string().optional(),
            Author: z.string().optional(),
            Subject: z.string().optional(),
            Keywords: z.string().optional(),
          })
          .optional()
          .describe("Metadata for merged PDF"),
        pdfa: z
          .enum(["PDF/A-1b", "PDF/A-2b", "PDF/A-3b"])
          .optional()
          .describe("PDF/A compliance"),
        pdfua: z.boolean().optional().describe("PDF/UA compliance"),
        requestSource: z.string().optional().describe("Request source"),
      },
      async ({ inputMethod, files, metadata, pdfa, pdfua, 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/merge-pdfs`, {
          method: "POST",
          headers: {
            "Content-Type": "application/json",
            Authorization: `Bearer ${apiKey}`,
          },
          body: JSON.stringify({
            inputMethod,
            files,
            metadata,
            pdfa,
            pdfua,
            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) }] };
      }
    );

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/DumplingAI/mcp-server-dumplingai'

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