How to Use Ollama with n8n AI Agent: Run Local LLMs That Actually Call Tools
Connect Ollama to n8n's AI Agent: pick a tool-capable local model, fix skipped tool calls with Force Tool Call on First Iteration, and add a fallback model.
Every tutorial below was tested hands-on before publishing. Pick your tool and follow along.
Connect Ollama to n8n's AI Agent: pick a tool-capable local model, fix skipped tool calls with Force Tool Call on First Iteration, and add a fallback model.
Turn Make.com scenarios into callable MCP tools: create an MCP token, wire up OAuth or token auth, lock down access by scenario, and handle timeouts.
Install Postgres MCP Pro in restricted mode behind a least-privilege read-only role: safe AI access to PostgreSQL, each step tested on a live database.
Migrate your MCP server to the 2026-07-28 stateless spec: drop Mcp-Session-Id, add server/discover, send per-request _meta, and regression-test each step.
Build a Telegram AI agent with n8n Agents: an OpenRouter model, Todoist and Gmail tools, reusable skills, schedules, and workflow calls. Hands-on guide.
Run n8n in queue mode: a main instance plus Redis-backed worker processes for parallel executions. Docker Compose setup guide, verified on n8n 2.41.4.
Build an AI support chatbot in n8n: Chat Trigger, AI Agent with Simple Memory, RAG over your docs via Vector Store Retriever, plus a human escalation branch.
Build an n8n chatbot with memory: attach the Simple Memory sub-node to an AI Agent, scope sessions per user, and move to Postgres Chat Memory for production.
Build a real RAG chatbot in n8n: chunk documents, store embeddings in Qdrant, and answer questions with the Question and Answer Chain. Tested on n8n 2.41.4.
Update self-hosted n8n safely: Docker Compose, Docker, and npm upgrade paths with backups, database migrations, rollback steps, and five real fixes.