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

In this video, we’re diving into the ultimate open-source setup for local AI automation using n8n, Docker, and MCP (Model Context Protocol). You’ll learn how to build a fully local AI stack that supports:

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✅ Local LLM execution
✅ AI Agents with tool use
✅ RAG (Retrieval-Augmented Generation) workflows
✅ Real-time API calls via Brave Search and more
✅ Full automation using n8n’s visual interface
✅ And all of it powered locally with Docker containers!

Whether you’re building a smart assistant, a workflow engine, or an AI research assistant — this is the stack that gives you full control, privacy, and insane flexibility.

🔧 Tools Used:
n8n (Workflow Automation)
Docker (Containerization)
MCP (Model Context Protocol by Anthropic)
Claude Desktop / Brave Search API / Custom Tools

📦 Everything is 100% open-source and customizable.
💻 Watch to see how to set it up in minutes and start running your own AI agents!

🔗 Related Links:
→ Download Docker Desktop: https://dockr.ly/42dp0Kz
→ Docker MCP Blog Post: https://www.docker.com/blog/the-model...
→ MCP Docs: https://docs.docker.com/desktop/featu...
→ MCP Servers: https://github.com/modelcontextprotoc...
→ n8n: https://n8n.io
→ n8n nodes Github Repo: https://github.com/nerding-io/n8n-nod...

For tool expert: inputs: [
$fromAI("query", "Search query to send to Brave Search", "string")
]

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🏷️ Tags:
n8n, MCP, Docker, local LLMs, AI agents, open source AI, Claude Desktop, Brave Search API, automation, local AI workflows, n8n AI agents, AI automation tools, open source workflow automation, model context protocol, run AI locally, self-hosted LLM, RAG workflows, LLM with tools, agentic AI, AI orchestration, no-code AI, devops automation, Claude 3.5, brave_web_search

🔖 Hashtags:
#n8n #aiagents #docker #mcp #LocalAI #opensourceai #automation #claudeai #LLMtools #nocodeai #BraveSearch #SelfHostedAI #aiworkflows #rag #ModelContextProtocol