llm tool integration

Guide to pairing the Model Context Protocol (MCP) with Ollama to run fast, private local LLMs that access files, terminals, and services with consent and auditability. Covers installing Ollama, building a tiny MCP bridge, configuring an MCP client, practical Linux workflows (doc Q&A, coding, air-gapped, batch), troubleshooting, and next steps to extend with more tools and models.

MCP servers standardize how AI clients safely use real tools on Linux, enforcing permissions, isolation, and observability. This guide covers MCP basics, transports (stdio vs network), and distro-specific steps to install, run as dedicated users, harden with systemd/firewalls, wire into clients, test, and apply patterns (log triage, safe shell, repo review, DB queries, CI), plus troubleshooting and security tips.