OpenAI adds MCP support to Agents SDK

807 gronky_ 267 3/26/2025, 6:55:29 PM openai.github.io ↗

Comments (267)

keithwhor · 74d ago
Today MCP added Streamable HTTP [0] which is a huge step forward as it doesn't require an "always-on" connection to remote HTTP servers.

However, if you look at the specification it's clear bringing the LSP-style paradigm to remote HTTP servers is adding a bunch of extra complexity. This is a tool call, for example:

    {
      "jsonrpc": "2.0",
      "id": 2,
      "method": "tools/call",
      "params": {
        "name": "get_weather",
        "arguments": {
          "location": "New York"
        }
      }
    }
Which traditionally would just be HTTP POST to `/get_weather` with `{ "location": "New York" }`.

I've made the suggestion to remove some of this complexity [1] and fall back to just a traditional HTTP server, where a session can be negotiated with an `Authorization` header and we rely on traditional endpoints / OpenAPI + JSON Schema endpoint definitions. I think it would make server construction a lot easier and web frameworks would not have to materially be updated to adhere to the spec -- perhaps just adding a single endpoint.

[0] https://spec.modelcontextprotocol.io/specification/2025-03-2...

[1] https://github.com/modelcontextprotocol/specification/issues...

_pdp_ · 74d ago
I fully agree.

MCP is just too complex for what it is supposed to do. I don't get what's the benefit. It is the kind of thing that has the potential to be a huge time waste because it requires custom dev tools to develop and troubleshoot.

It is not even a protocol in the traditional sense - more of a convention.

And of course we will implement it, like everyone else, because it is gathering momentum, but I do not believe it is the right approach at all. A simpler HTTP-based OpenAPI service would have been a lot better and it is already well supported in all frameworks.

The only way I can make sense of MCP in the context of an STDIO.