In this specific post the SQL example gets around this by being super low-level, inherently composable, and low context consumption itself. I’m not sure this works for everyone.

Looking at the Linear MCP for example, they basically just want to expose an API surface and provide 32 MCP tools as a result of that. My agents do run into composability problems here all the time and fall back to the tool they included which allows you to run arbitrary GraphQL. This takes a couple tries usually. I don’t really know what the sensible alternative to this is.

Cloudflare switched to “code mode” which basically provides 2 MCP tools: search and execute. Both take a TS arrow function, the first allows you to programmatically search a TS api spec, the second to compose and run the methods in that spec.

I think this is a very interesting approach, and certainly better than providing the ~1000 actions as MCP tools but I feel the jury is still out on exactly how well this pans out.

Professionally though, it’s complicated recommending it outside of specific and mostly tightly scoped use-cases. At some point the project just changes direction because of business reasons and you need node.

We’re a data intelligence platform for global enterprises. We are well funded, growing fast, and solving the most pressing data challenges for some of the largest and most recognizable companies in the world. The capabilities of SOTA LLMs enable us to this at an unprecedented scale and success rate. We’re looking for a Senior Product Engineer (Frontend) to shape what our product looks like and how it’s built. Specifically:

- Lead on the deployment of LLMs as an enhancement/substitute to traditional interfaces

- Own feature developments and fixes across the frontend from ideation to deployment

Stack: Vue.js, Tailwind, Tanstack

Contact: kimathi [at] deducta dot ai / Apply: https://apply.workable.com/deducta/j/8ADBB3795A/

Fully local, hobbyist friendly, agentic workflows work great with it since it’s just a CLI.

We’re a data intelligence platform for global enterprises. We are well funded, growing fast, and solving the most pressing data challenges for some of the largest and most recognizable companies in the world. The capabilities of SOTA LLMs enable us to this at an unprecedented scale and success rate.

We’re looking for a Senior Product Engineer (Frontend) with strong design skills to shape what our product looks like and how it’s built. Specifically:

- Lead on the deployment of LLMs as an enhancement/substitute to traditional interfaces

- Own feature developments and fixes across the frontend from ideation to deployment

Stack: Vue.js, Tailwind, Tanstack

Contact: kimathi [at] deducta dot ai / Apply: https://apply.workable.com/deducta/j/8ADBB3795A/

I can see overnight for a prototype of a completely new project with a detailed SPEC.md and a project requirements file that it eats up as it goes.

I really wouldn't bother buying anything else as a beginner. Pick between these two.

It's a weird thing in 3D printing right now that if you don't have the open source stuff as a requirement you get better print quality and reliability for half the price with Bambu Lab.

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Kagi on the other hand really blew me away, I have no idea how they're doing it, but I'm only using Google for one thing these days (besides G Shopping & G Maps) which is when I want to use ad spend as proxy for quality/reliability of the company (for example when I'm looking for a local moving company in my city).