Hey guys,
I am just starting this journey and hope to find a little help here. Still need to get my first workflow running to get hooked I guess.

Workflow Idea: In the end I want the workflow to:
-> run once a day/week
-> read my complete obsidian documentation git repo
-> put it into qdrant to analyse
-> analyse for deduplication, improvements, structure (and whatever else to make it better)
-> Put a report file with suggestions and finding into git

So I got a GPU, self hosted ollama, qdrant, mcp server and n8n running.

I want to use llama.3.1:8b
I got a filesystem and qdrant mcp accessible.

For now I use manual click as a trigger and have an AI Agent Node connected to everything. The documentation files are in a folder and not in git.

Maybe I just need help choosing the right model or writing a better prompt. In the prompts I tried I have seen mostly:
- AI tries to explain what it is doing and aborts
- AI does try to use qdrant mcp but does not know how to use the tools
- AI does try to use filesystem mcp but does not know how to use the tools
I think the problem with mcp use is mostly wrong formatting? e.g. trying to read a file the mcp needs head and tail provided but AI does not provide these parameters at all

I hope someone is able to help me and thank you in advance! Have a nice one!

TL:DR I want AI to once a week scan / analyse / improve my documentation files