paperclipai/paperclip · error

-32700

-32700

Error message

Request body too large.

What it means

Error "Request body too large." thrown in paperclipai/paperclip.

Source

Thrown at packages/google-sheets-mcp-server/src/http.ts:44

    "content-type": "application/json",
    "content-length": Buffer.byteLength(payload),
  });
  res.end(payload);
}

function presentedToken(req: IncomingMessage): string | null {
  const header = req.headers.authorization;
  if (header?.startsWith("Bearer ")) return header.slice("Bearer ".length).trim();
  return null;
}

async function readJsonBody(req: IncomingMessage): Promise<unknown> {
  const chunks: Buffer[] = [];
  let size = 0;
  for await (const chunk of req) {
    const buffer = chunk as Buffer;
    size += buffer.length;
    if (size > 1_000_000) throw new Error("Request body too large.");
    chunks.push(buffer);
  }
  if (chunks.length === 0) return undefined;
  const raw = Buffer.concat(chunks).toString("utf8").trim();
  if (!raw) return undefined;
  return JSON.parse(raw);
}

async function handleMcp(
  req: IncomingMessage,
  res: ServerResponse,
  config: GoogleSheetsMcpConfig,
  client: GoogleSheetsClient,
): Promise<void> {
  let parsedBody: unknown;
  try {
    parsedBody = req.method === "POST" ? await readJsonBody(req) : undefined;
  } catch (error) {

View on GitHub (pinned to 120ae5428f)

Solutions

1. Reduce the request payload below the configured body-size limit, or batch the operation into smaller requests.

When it happens

Trigger: Thrown at packages/google-sheets-mcp-server/src/http.ts:44 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of paperclipai/paperclip@120ae5428f (2026-08-18). Data as JSON: /api/errors/c03074fbd85e74b6. Report an issue: GitHub.