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ChatGPT mcp Resource/errors/payload_too_large

How to: ChatGPT mcp errors/payload_too_large

client:ChatGPT transport:streamable-http resource:errors/payload_too_large

Add mcp to ChatGPT

  1. 01

    Open Settings → Connectors → Advanced → Developer mode and merge this in. Keep any servers already there.

https://mcp.doc.cheap/mcp
  1. 02

    Save the file and restart ChatGPT.

  2. 03

    errors/payload_too_large is surfaced wherever your client lets you attach context. It is context to attach, not an action to run.

  3. 04

    If it does not appear, check that mcp is connected and that you are looking at its resources rather than its tools.

Custom connectors are a paid-plan feature and take a remote URL only. ChatGPT cannot run a packaged server locally. ChatGPT docs

Set these first

mcp will not start until these are set, so it never reaches ChatGPT.

  • DOC_CHEAP_API_KEY
  • DOC_CHEAP_API_BASE

Same resource, other clients

Read from the server itself, by connecting to it and calling resources/list on 24 September 2026. A listing does not declare its resources, so asking is the only way to know them, and this is what the server actually offers rather than what its listing claims. Names only are stored; connect the server for each resource's type and contents.