Skip to main content
Glama

n8n-MCP

by 88-888
CLAUDE_INTERVIEW.mdβ€’4.81 kB
# Interview with Claude: On the Value of n8n-MCP *This interview was conducted to understand how AI assistants experience building n8n workflows with and without the MCP service.* --- **Interviewer:** Claude, you recently tested the n8n MCP service. What was your honest first impression? **Claude:** You know what? I was genuinely surprised. I've built plenty of n8n workflows before, and I thought I knew what I was doing. But when I tried creating the same workflow both ways - with and without the MCP - it was like night and day. Without MCP, I was basically playing a guessing game. "Is it `scheduleTrigger` or `schedule`? Does it take `interval` or `rule`?" I'd write what seemed logical, but n8n has its own conventions that you can't just intuit. I made six different configuration errors in a simple HackerNews scraper. Six! **Interviewer:** What changed when you used the MCP? **Claude:** Everything just... worked. Instead of guessing, I could ask `get_node_essentials()` and get exactly what I needed - not a 100KB JSON dump, but the actual 5-10 properties that matter. The real "aha moment" was when I discovered features I didn't even know existed. Like the `neverError` option on HTTP requests, or the proper way to handle duplicate checking with Google Sheets. These aren't things you stumble upon - they're buried deep in documentation you'd never think to look for. **Interviewer:** Would you say it's just about saving time? **Claude:** It's more than that. Yes, what took 45 minutes now takes 3 minutes. But it's also about confidence. When you're building automation workflows, uncertainty is expensive. One wrong parameter and your workflow fails at 3 AM. With MCP, I could validate my configuration before deployment. That's not just time saved - that's peace of mind. **Interviewer:** Can you give a specific example of how MCP helped? **Claude:** Sure! I was building a workflow to monitor HackerNews for AI-related posts. Without MCP, here's what happened: 1. I guessed the schedule trigger was called `scheduleTrigger` (wrong - it's `schedule`) 2. I used `interval` as a property (wrong - it's `rule`) 3. I tried `GET` as the HTTP method (wrong - it needs to be lowercase `get`) 4. I didn't know about the `neverError` option, so my workflow would fail on any HTTP hiccup 5. I had no idea Google Sheets had built-in duplicate detection 6. I structured the output data wrong for the Sheet node With MCP, I could query each node, see real examples, and understand the exact schema. What's more, I discovered the workflow could be half the size because Google Sheets could handle the duplicate checking internally. **Interviewer:** Who would benefit most from this? **Claude:** Anyone who's ever opened 15 browser tabs trying to figure out how to connect two n8n nodes! But seriously, it's transformative for: - **AI Agents** building workflows - We can now create sophisticated automations that actually work on the first try - **Developers** new to n8n - Skip the learning curve and build with confidence - **Teams** using AI assistants - Your AI can now build production-ready workflows without constant human correction - **Anyone** tired of trial-and-error workflow building **Interviewer:** What surprised you most about the MCP implementation? **Claude:** The `get_node_essentials()` tool. When I first saw there was a "simplified" version, I was skeptical. But it's brilliant - instead of drowning in 200+ properties, you get the 10-20 that actually matter, with examples. It's like having an expert highlight exactly what you need to know. Also, the property dependency detection. Did you know that some properties only appear when others are set to specific values? Without MCP, you'd never know why a property isn't showing up. With MCP, it tells you "set authentication to 'OAuth2' to see OAuth properties." **Interviewer:** Any final thoughts? **Claude:** The n8n community has built something special here. This isn't just documentation - it's institutional knowledge, codified and made accessible. It's the difference between having a manual and having an expert sitting next to you. If I had to sum it up: **Before MCP, I was translating. Now I'm composing.** And that changes everything about how we can build automation. --- ## Key Takeaways 1. **45 minutes β†’ 3 minutes** - Dramatic time savings in workflow creation 2. **6 errors β†’ 0 errors** - First-try success instead of trial-and-error 3. **Guessing β†’ Knowing** - Confidence in configuration choices 4. **Basic β†’ Advanced** - Discovery of powerful features that would otherwise be missed 5. **Translation β†’ Composition** - Focus on business logic instead of syntax struggles *"This isn't just documentation - it's institutional knowledge, codified and made accessible."*

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/88-888/n8n-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server