71–80 of 210 posts
For example, even GitHub’s fine-grained tokens aren’t always fine-grained enough for our use cases. In those situations, it’s straightforward to build a small MCP server that exposes exactly the operations we want an agent to have access to.
That gives us a much smaller and more explicit attack surface, without having to manually audit every possible GitHub CLI invocation the agent might make.
The point here is, MCP is the backbone behind the product and enables regular users to do things without knowing anything about it.
The whole "is MCP useless?" discussion is totally pointless from a regular consumer-user perspective, they even do not know what MCP is sometimes. The Tredict ChatGPT App connects with one click and a simple oauth flow. That's it.
Earlier quoted context omitted.
> "it makes things a tiny bit easier than interfacing directly via api" By what metric? I would expect that a thin API client (with readable code) is generally going to out-perform a tool-surface which you don't have the ability to manage/edit.
This is what I don't get often when people say "ai will be the ui". Like pressing a button to get an action done for me will always be quicker than asking an LLM to do an action and then waiting for it to understand and do that action. Why will I not prefer to just press the button? I run a lot of services to track my life and work and theoritically I could hook up their apis or mcp if supported to a harness and pret…
Earlier quoted context omitted.
> "it makes things a tiny bit easier than interfacing directly via api" By what metric? I would expect that a thin API client (with readable code) is generally going to out-perform a tool-surface which you don't have the ability to manage/edit.
This is what I don't get often when people say "ai will be the ui". Like pressing a button to get an action done for me will always be quicker than asking an LLM to do an action and then waiting for it to understand and do that action. Why will I not prefer to just press the button? I run a lot of services to track my life and work and theoritically I could hook up their apis or mcp if supported to a harness and pret…
I recently started using it as a way to make my own custom software available to regular ChatGPT and Claude, both of which support MCP if you dig around deep enough. Here's my TIL: https://til.simonwillison.net/llms/mcp-in-claude-and-chatgpt
I reversed engineered my supermarket API and made a custom MCP to automate my grocery shopping. Now I can fill my cart through ChatGPT.
More details about it on https://ducret.dev/grocery-shopping-with-ai/
Could I have used an API? Maybe. But Laravel MCP makes it very easy to run a MCP server.
I am not using MCP in be production- but, my team is. My team also produces MCP servers for other teams, and I find it a bit maddening. I wonder if anyone can relate to my experience here. It feels like there is a significant amount of baggage with MCP. It had first mover advantage- coming in at a time when the frontier looked much different. Models were significantly less predictable, would consistently screw up too…
We use MCP in production since March 26 for user-facing endurance sports analytics and planning that integrates directly with the MCP host, in this case the chat interfaces of ChatGPT, Claude, Grok, Perplexity.ai, Mistral, you name it. All of those let users add either custom MCP servers, which users can do with a simple explanation. To connect Claude for example: https://www.tredict.com/faq/connect-claude-web-with-t…
API and MCP all are just buzzwords for customers. What they care about is whether they can get tasks done in our SaaS using Claude or ChatGPT. If that happens, it's a success.
Other then that I've been building MCP's in pretty much all (personal) tools I'm making now, it's very useful to have a central way for an agent to look at production data without having to ssh into a server.
A claude routine runs without access to internet except for Slack (API) and Sentry (MCP).
It reads the Sentry MCP, compare the errors to the app source code and post a daily digest to Slack.
The reports are very accurate.