llmconveyors-mcp

Instructions

Implementation Reference

• src/tools/content.ts:6-29 (registration)

  Registration and handler implementation of the 'content-save' tool.

  server.tool(
    "content-save",
    "Save a source document for use as context in AI generation. Returns success status.",
    {
      docType: z.enum([
        "original_cv", "extensive_cv", "cover_letter",
        "cv_strategy", "cover_letter_strategy", "cold_email_strategy",
        "recon_strategy", "company_context",
      ]).describe("Type of source document"),
      content: z.string().describe("Document content text"),
    },
    async (params) => {
      try {
        const result = await client.content.save({
          docType: params.docType,
          content: params.content,
        } as any);
        return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] };
      } catch (err) {
        const message = err instanceof Error ? err.message : String(err);
        return { content: [{ type: "text", text: `Error: ${message}` }], isError: true };
      }
    },
  );