There is nothing wrong with MCP, it's just that stdio MCP was overengineered.
MCP's Streamable HTTP with OAuth discovery is the best way to ship AI integration with your product nowadays. CLIs require sandboxing, doesn't handle auth in a standard way and it doesn't integrate to ChatGPT or Claude.
Look at Sentry, they just ship a single URL https://mcp.sentry.dev/mcp and you don't need anything else. All agents that supports MCP lets you click a link to login to Sentry and they make calls to Sentry to fetch authentificated data.
The main problem with MCP is the implementation. Instead of using bash to call MCP, agents are designed to make single MCP tool calling which doesn't allow composability. We solve this problem with exposing MCP tools as HTTP endpoints and it works like charm.
This is my take as well.
Way easier to set up, centralized auth and telemetry.
Just use it for the right use cases.
Could you expand on this some more? I'm not quite following.
I agree with the sandboxing challenge of a CLI, although I think any CLI (or MCP) wrapping an http API should be subject to a sane permissioning system that's a first class concept in the API itself. That's in my opinion the correct way to limit what different users/tools/agents can do.
But I don't fully understand the Streamable HTTP point.