n8n + MCP: Build and Automate Anything! Run ALL Your AI Locally - LLMs, AI Agents! (Opensource)

Introduction to running an entire AI workflow locally for free using Docker and Nathan.

Introduction to a more powerful method using MCP to build AI workflows and connect with external data sources.

Enthropic allows AI apps to connect with external data sources and enables large English models to execute custom tools in a developer-friendly way.

Using Docker to spin up Nathan, an automation tool, in a single container for easy setup to supercharge AI workflows.

Integrating Docker Desktop to manage containers, deployment, and accelerate AI workflows.

Focus on setting up and building powerful AI workflows integrating Enthropic with containerized MCP servers and Puppeteer access to GitHub in a clean, isolated Docker environment.

Brief explanation of Docker as a virtual container for isolated environments and its use in AI workflow setup.

Guidance on installing Nathan in Docker, setting up environment variables, and starting the Nan server locally.

Creating AI agents in Nathan to perform tasks like chat triggers, integrating with MCP clients, and configuring AI agent memory and plugins.

Adding system messages in AI agents within Nathan to start working on tasks and interacting with MCPS directly.