Originally published on AI Tech Connect.
What changed For most of its life, llama.cpp has been the thing you reach for when you want a model to run on hardware you own and nothing else. It loads a quantised GGUF file, it serves completions, it gets out of the way. Tool use was somebody else's problem — you bolted on an agent framework, or you wrote a loop yourself, or you ran a proxy that translated between what your model emitted and what your tools expected. Reported in late July 2026, that gap closed. llama-server gained Model Context Protocol tool support. In plain terms: a local GGUF model — a Qwen, a Mistral, whatever you have quantised and sitting on disk — can now connect to MCP tool servers, have their available tools discovered automatically, and call them. Files and code. Web search. Databases. Calendars. Home…
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