mcp-go

MCP seems just like a rushed concept that Anthropic shoved out there just so they could own the standard. I've been working with it a lot lately, in Go with mcp-go[0]. Very un-intuitive at first, and I constantly ask myself why I wouldn't just write this in my own way, but admittedly it can be fun. Something like https://github.com/simonw/llm seems way more intuitive (to me) [0]: https://github.com/mark3labs/mcp-go

Maybe i dont understand this to well but isnt this basically a wrapper for github.com/mark3labs/mcp-go/server

If I get time this week, I'll drop a README here that shows how to do it. Not too hard tho, read up how to build mcp with https://github.com/mark3labs/mcp-go AnkiDroid has settings for linking a csv from google drive. Then just look up how to sync a local file/directory with Drive. Its just a matter of making sure the LLM knows the MCP Anki tool is available in every prompt (well I have a learning/Q&A prompt that uses this), then In the system prompt I tell it to make Anki cards whenever it seem like I'm having trouble with a concept, like asking a question twice, and to make sure the card doesn't exist already.

This seems to be a better alternative: https://github.com/mark3labs/mcp-go

Good one! A lib I've used a few times now to build go mcp servers quite quickly would be this one: https://github.com/mark3labs/mcp-go I know, different goals, but still

Perhaps adding some guide on how to hook this up to... well anything would be good :) There is a lack of guidance for https://github.com/mark3labs/mcp-go/ which this is using as well so while everything is there, its hard to know how to make it do anything.

Embedding those docs in your MCP server takes about 5 seconds with mcp-go's AddResource method https://github.com/mark3labs/mcp-go/blob/main/examples/every...

There is any reason why you choose to build a Python wrapper for a Golang binary? I've been playing around with mcp-go[0] and it seems pretty good. [0] - https://github.com/mark3labs/mcp-go

MCP documentation is thin on the ground, but I like what I've seen. I think it provides a nice separation of concerns for using LLMs as Agents. The article mentions a python MCP library, there seems to be a pretty vibrant golang MCP server as well at https://github.com/mark3labs/mcp-go. No personal experience, but I'd usually rather a binary than a python environment install when I can get it. The other thing the author mentions is that Claude can author MCP integrations and merge them into your server -- sounds good to me!