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by keithwhor
397 days ago
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On MCP's Streamable HTTP launch I posted a issue asking if we should just simplify everything for remote MCP servers to just be HTTP requests. https://github.com/modelcontextprotocol/modelcontextprotocol... MCP as a spec is really promising; a universal way to connect LLMs to tools. But in practice you hit a lot of edge cases really quickly. To name a few; auth, streaming of tool responses, custom instructions per tool, verifying tool authenticity (is the server I'm using trustworthy?). It's still not entirely clear (*for remote servers*) to me what you can do with MCP that you can't do with just a REST API, the latter being a much more straightforward integration path. If other vendors do adopt MCP (OpenAI and Gemini have promised to) the problem they're going to run into very quickly is that they want to do things (provide UI elements, interaction layers) that go beyond the MCP spec. And a huge amount of MCP server integrations will just be lackluster at best; perhaps I'm wrong -- but if I'm { OpenAI, Anthropic, Google } I don't want a consumer installing Bob's Homegrown Stripe Integration from a link they found on 10 Best MCP Integrations, sharing their secret key, and getting (A) a broken experience that doesn't match the brand or worse yet, (B) credentials stolen. |
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I anticipate alignment issues as well. Anthropic is building MCP to make the Anthropic experience great. But Anthropic's traffic is fractional compared to ChatGPT - 20M monthly vs 400M weekly. Gemini claims 350M monthly. The incentive structure is all out of whack; how long are OpenAI and Google going to let an Anthropic team (or even a committee?) drive an integration spec?
Consumers have barely interacted with these things yet. They did once, with ChatGPT Plugins, and it failed. It doesn't entirely make sense to me that OpenAI is okay to do this again but let another company lead the charge and define the limitations of the end user experience (because that what the spec ultimately does, dictates how prompts and function responses are transported), when the issue wasn't the engineering effort (ChatGPT's integration model was objectively more elegant) but a consumer experience issue.
The optimistic take on this is the community is strong and motivated enough to solve these problems as an independent group, and the traction is certainly there. I am interested to see how it all plays out!