been working on a javascript runtime for agents and recently got grpc working with modal!

Our cloud platform supports gpu but we haven’t shipped it yet. I’ll be sure to update guide when that’s shipped!

Totally agree. I’ve built a bunch of harnesses for Minecraft and a specialized one will almost certainly out preform a general purpose one.

I believe the way we advance the capabilities for general computer use is to to attempt harder and harder tasks with it, and build up the necessary infrastructure to accomplish it along the way.

Even when we don’t achieve the goal, the infrastructure we build is often useful for easier and more obtainable goals as well.

If your computer use environment can pilot Minecraft, it can also probably do your taxes

that is a nothingburger :^)

its not marketing to you, its marketing to agents looking for tools to use

You may have heard of Programmatic Tool Calling from anthropic or Code Mode from cloudflare for calling mcp servers. I have been working on an open source version of this and recently put together some basic docs, and thought this page would be a good one to share.

There are plenty of other features to explore, but this one alone has resulted in significant improvements in the speed of execution in many tasks including minecraft playing agents, computer use agents, and for querying and aggregating information from my telemetry systems in a lightweight low risk way.

if i didn't have to prompt it to learn from its mistakes and it just "intuitively" knew to do that

have built in this space which led me to develop a minizinc mcp server [0] for scheduling bocce tournaments [1]. scheduling with constraints is a np hard problem and it makes sense people struggle. tools exist to solve this problem but they are complex and hard to use for non technical folks, and even technical folks. am hoping a tool like this can bridge the gap and would like to bring it to your awareness if you aren't already thinking about the problem this way :)

edit: after reading a bit more of description looks like yall are taking a similar approach, kudos!

[0] https://github.com/r33drichards/minizinc-mcp

[1] https://github.com/r33drichards/bocce-scheduler

This is awesome! Completely agree: modeling each real life scenario as a constraint satisfaction problem is tricky in and of itself (especially with the diversity of non-intersecting constraints we encounter) and something we are actively working on. Using LLMs as a layer above has made it much more tractable. Curious how the bocce scheduling has fared in real world scenarios. How was the performance?

yep! thats the motivation behind https://github.com/r33drichards/mcp-js

I want to be able to give agents access to computation in a secure way without giving them full access to a computer

Does this support bedrock?

Could add support if you need it! Just let me know :D

Is it possible to provide a llm a skill through the mcp resource feature?

In a way yes, you can reduce context usage by a non-negligible amount approaching it this way. I'm investigate this on my skill validation/analysis/bidirectional MCP server project and hope to have it as a released feature soon: https://github.com/athola/skrills

It’s also possible to implement an MCP as a skill