What is this?

Give your AI the ability to act, not just chat.

Model Context Protocol (MCP) is an open standard that lets AI models interact with external tools and data sources. Instead of just answering questions from training data, an MCP-enabled AI can read your files, query your databases, call your APIs, and execute actions in your local environment — all while keeping everything private on your Mac.

Think of MCP as the bridge between your AI assistant and your actual work. Without MCP, your AI is limited to what it already knows. With MCP, it can access your project files in real-time, look up records in your database, check your calendar, read Slack messages, or interact with any tool that exposes an MCP interface.

HKMAC AI sets up MCP servers tailored to your workflow. Whether you need your AI to read from a PostgreSQL database, browse local documentation, interact with GitHub repositories, or manage files on your desktop — we configure the appropriate MCP servers and connect them to your local LLM running through Ollama or Open WebUI.

The result is an AI assistant that understands your specific context and can take meaningful actions — not a generic chatbot, but a purpose-built tool integrated into your daily workflow. All data stays on your machine, processed by your local models.

How it works

AI meets your tools through MCP.

graph LR A["🧑 User Request"] --> B["🤖 Local LLM
via Ollama"] B --> C["🔌 MCP Client"] C --> D["📁 File System
Server"] C --> E["🗄 Database
Server"] C --> F["🌐 API
Server"] D --> G["💬 Contextual
Response"] E --> G F --> G

What you get