기사 요약
The article details building powerful local AI automations by integrating n8n, Ollama, and the Model Context Protocol (MCP).
- MCP is highlighted as a critical protocol for enabling locally run large language models (LLMs) to effectively interact with external tools and services, thereby facilitating robust local AI agents.
- The setup combines Ollama for executing local LLMs (e.g., Llama 3), n8n for comprehensive workflow automation, and an MCP server to establish a bridge between the LLM and custom external tools.
- A practical guide outlines the configuration of an MCP server and its connection to n8n, allowing a local AI model to execute real-world automations like sending emails or interacting with various APIs.
- This methodology champions privacy, cost reduction, and greater control over AI operations by maintaining both models and workflow processing entirely within local environments.