Good riddance MCP.

That's not what this is. MCP is still around and useful- skills are tailored prompt frameworks for specific tasks or contexts. They're useful for specialization, and in conjunction with post-training after some good data is acquired, will allow the next generation of models to be a lot better at whatever jobs produce good data for training.

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adam_arthur 21 hours ago | parent | next [-]

Local tools/skills/function definitions can already invoke any API.

There's no real benefit to the MCP protocol over a regular API with a published "client" a local LLM can invoke. The only downside is you'd have to pull this client prior.

I am using local "skill" as reference to an executable function, not specifically Claude Skills.

If the LLM/Agent executes tools via code in a sandbox (which is what things are moving towards), all LLM tools can be simply defined as regular functions that have the flexibility to do anything.

I seriously doubt MCP will exist in any form a few years from now

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asadm a day ago | parent | prev | next [-]

I have seen ~10 IQ points drop with each MCP I added. I have replaced them all with either skill-like instructions or curl calls in AGENTS.md with much better "tool-calling" rate.

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verdverm 20 hours ago | parent [-]

That's a context pollution problem, not an MCP problem.

https://www.anthropic.com/engineering/advanced-tool-use

	▲	asadm 17 hours ago \| parent [-]
		building a rag for searching correct MCP is a band-aid.

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AndyNemmity a day ago | parent | prev [-]

It isn't particularly useful. It uses a lot of context without a lot of value. Claude has written a blog post saying as much. Skills keep the context out unless it's needed.

It's a much better system in my experience.

	▲	verdverm 20 hours ago \| parent [-]
		Claude did not say don't use MCP because it pollutes the context What they said was don't pollute your context with lots of tool defs, from MCP or not. You'll see this same problem if you have 100s of skills, with their names and descriptions chewing up tokens Their solution is to let the agent search and discover as needed, it's a general concept around tools (mcp, func, code use, skills) https://www.anthropic.com/engineering/advanced-tool-use