n8n and MCP Serve Three Distinct Roles That Most Tutorials Conflate

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The Model Context Protocol (MCP) can be integrated with n8n in three separate ways, each serving a different purpose. First, n8n can act as an MCP server, exposing existing workflows as callable tools for external AI agents like Claude or Cursor. Second, n8n can function as an MCP client, allowing its own AI Agent workflows to consume tools from external MCP servers. Third, a community-built server called czlonkowski/n8n-mcp helps coding agents draft new n8n workflows from plain-language descriptions, using knowledge of n8n's roughly 2,000 nodes. Confusion arises because most tutorials cover only one of these configurations without acknowledging the others, leading users to wire up the wrong setup.

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