ngLover

If you're building AI agent workflows, n8n is no longer just a "webhook plus HTTP node" automation tool. As of late 2025, it has native Model Context Protocol support on both ends: it can call external MCP servers and expose its own workflows as MCP tools. That changes how you think about connecting AI agents to automation. Here are the three distinct ways you can wire n8n and MCP together, and where each one actually fits. Why MCP Matters for n8n Developers MCP (Model Context Protocol) , open-sourced by Anthropic in late 2024, became the de facto standard for AI-to-tool communication through 2025. The idea is simple: instead of hardcoding tool schemas into every AI app, you expose them through a standard JSON-RPC interface over SSE or streamable HTTP. Any MCP-compatible client, Claude, GPT-4o, Cursor, Windsurf, can discover and call those tools without custom integration code. n8n added two nodes that put it on both sides of this equation. The community announcement...

The Model Context Protocol's next specification — release candidate locked May 21, 2026, final spec shipping July 28 — is the most significant protocol revision since MCP launched. If you're running MCP servers in any production context, the headline change is architectural: the stateful session layer is gone. I've been tracking the SEPs (Specification Enhancement Proposals) that make up this release. Here's the breakdown of what's actually changing and what you need to do before July 28. The Big Change: MCP Is Now Stateless The current spec requires an initialize / initialized handshake and tracks sessions via Mcp-Session-Id . That means sticky routing — every request mid-session must hit the same server instance that handled the handshake. For anyone running more than one server instance behind a load balancer, this has meant either session affinity configs, shared session stores, or both. The July 2026 spec eliminates all of that. No session handshake. No s...