I wonder if it's a difference between SSE and HTTP streaming support? I've been working on a tool for devs to create their own MCP tools and built out support for both protocols because it was easier for me to support both protocols vs explaining why it's not working for one LLM client or another.
2025/09/11 01:16:13 HTTP 200 GET 0.1ms /.well-known/oauth-authorization-server
2025/09/11 01:16:13 HTTP 200 GET 2.5ms /
2025/09/11 01:16:14 HTTP 404 GET 0.2ms /favicon.svg
2025/09/11 01:16:14 HTTP 404 GET 0.2ms /favicon.png
2025/09/11 01:16:14 HTTP 200 GET 0.2ms /favicon.ico
2025/09/11 01:16:14 HTTP 200 GET 0.1ms /.well-known/oauth-authorization-server
2025/09/11 01:16:15 HTTP 201 POST 0.3ms /mcp/register
2025/09/11 01:16:27 HTTP 200 GET 1.4ms /
with the frontend showing: "Error creating connector" and the network call showing:
{ "detail": "1 validation error for RegisterOAuthClientResponse\n Input should be a valid dictionary or instance of RegisterOAuthClientResponse [type=model_type, input_value='{\"client_id\":\"ChatGPT.Dd...client_secret_basic\"}\\n', input_type=str]\n For further information visit https://errors.pydantic.dev/2.11/v/model_type" }
