This guide walks you through building a chat-style workflow that lets an n8n AI Agent call Explorium’s Model Context Protocol (MCP) tools, powered by Anthropic’s Claude.
You’ll end up with a flow like this:

1. Prerequisites 🔧

Requirement	Notes
n8n @ v1.31+	Self-hosted or Cloud
Explorium API key	Get one from your AgentSource Admin Panel
Anthropic API key	Needed for Claude 3.x Sonnet
SSE endpoint	https://mcp.explorium.ai/sse

2. Create Your Flow

Trigger – When chat message received (built-in)
AI Agent – type: Tools Agent
Anthropic Chat Model – Claude 3.7 Sonnet
Memory – simple in-flow memory
MCP Client – calls Explorium tools

Connect the nodes just like the overview image (dotted lines = resource connections).

3. Configure Each Node

3.1 AI Agent configuration

Setting	Value
Agent	Tools Agent
Source for Prompt	Connected Chat Trigger Node
System Message	Use a Claude-style system prompt. Example: The assistant is Claude, created by Anthropic. The current date is {{ Date() }}.\nYou are powered by Explorium’s MCP tools. Always call tools when data is required…
Chat Model	Connect the Anthropic Chat Model node
Tool	Connect the MCP Client node
Memory	Connect the Memory node

3.2 Anthropic Chat Model

Credential: the Anthropic account you just created
Model: Claude 3.7 Sonnet
Enable Thinking: On (optional, shows the “thinking” indicator)

3.3 Anthropic credential

Enter your Anthropic key and test – you should see Connection tested successfully.

3.4 MCP Client node

Field	Value
SSE Endpoint	https://mcp.explorium.ai/sse
Authentication	Header Auth
Credential for Bearer Auth	Header Auth account
Tools to include	All

Fill the header fields:

Name: api_key
Value: <Enter your api key>

4. Test It Out

Click ▶ Open chat at the bottom of the canvas.
Ask something data-centric, e.g.
1. “Who is the CMO of Snowflake?”
You should see the MCP Client fire Match Businesses ➜ Enrich Businesses and Claude respond with a neatly-formatted answer:

Integrate with n8n