The MCP PR for llama.cpp has been merged !

The open-source llama.cpp project, a leading C++ inference engine for running models like Llama 3 locally, has merged a pivotal pull request (#18655) that integrates support for the Model Context Protocol (MCP). This merge fundamentally upgrades the capabilities of the accompanying `llama-server` and WebUI, transforming it from a basic chat interface into a platform for building and running AI agents. MCP is a standardized protocol, championed by Anthropic, that allows AI models to securely connect to external tools, data sources, and APIs. By adopting MCP, llama.cpp servers can now participate in an 'agentic loop' where the model can decide to call tools, browse files, and use attached resources to complete complex, multi-step tasks autonomously.

The technical implementation includes a new `--webui-mcp-proxy` flag to enable a backend CORS proxy, a server selector for managing multiple MCP connections, and integrated browsers for files and resources. This means developers and enthusiasts using frontends like Open WebUI can now connect their local llama.cpp instance to a growing ecosystem of MCP-compatible tools—from code editors and databases to web search APIs—all while keeping data and computation entirely on-premises. The merge represents a significant step in democratizing powerful, agentic AI, reducing reliance on cloud APIs for advanced functionality. It positions llama.cpp as a more formidable backend for building private, customizable AI assistants capable of taking actions in a user's digital environment.