AI Assistant which answers questions with a RAG MCP and a Search Engine MCP
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 8 nodes and runs when a chat message arrives. Along the way it connects OpenAI Chat Model, MCP Client and Mcp (community).
How it runs
Trigger: When a chat message arrives.
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 4 tools (MCP Client, RAG MCP Server, MCP_Search_List_Tools, MCP_Search_Search_Engine); memory: Simple Memory
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-mcp is verified or supports 3.0 (used in MCP_Search_List_Tools, MCP_Search_Search_Engine, MCP Client).
Nodes used (6)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Mcp Client Tool
n8n-nodes-mcp.mcpClientTool - MCP Client Tool
@n8n/n8n-nodes-langchain.mcpClientTool
From the author
Build an AI Agent which accesses two MCP Servers: a RAG MCP Server and a Search Engine API MCP Server. This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Tutorial Click here to watch the full tutorial on…