I use jan-beta GUI, you can use locally any model that supports tool calling like qwen3-30B or jan-nano. You can download and install MCP servers (from, say, mcp.so) that serve different tools for the model to use, like web search, deep research, web scrapping, download or summarize videos, etc there are hundreds of MCP servers for different use cases.
Never heard of this tool but I’ll check it out.
Mostly I’ve just been making my own dockerfiles and spinning up my own mcp instances.
They’re actually not hard to build so I’m trying to build my own for small utilities, that way I don’t get caught up in an is_even style dependency web.
Made some 30 of them talking to the app server and all the containers inside Docker.
Now we can ask how they're all doing and asking application-level questions about records, levels, etc., as well as system level questions like how much RAM the db server is using. Makes for a fun demo. Not sure how useful it will be in production.
Can you explain more about your setup?
I've been playing with something similar where I built a shared file system and a messaging system for my agents, but how are you running your AIs?
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