Build your first AI MCP Server
32 nodes · agent, googleCalendarTool, mcp, executeWorkflow, switch, toolWorkflow
- Engine
- n8n
- Nodes
- 32
- Trigger
- scheduled/triggered
- Source file
- 1184_Debughelper_HTTP_Create_Webhook.json
Workflow flow
SearchEvent
GoogleCalendarTool
CreateEvent
GoogleCalendarTool
UpdateEvent
GoogleCalendarTool
DeleteEvent
GoogleCalendarTool
Google Calendar MCP
@n8n/n8n-nodes-langchain.mcp
When Executed by Another Workflow
ExecuteWorkflow
Convert Text
@n8n/n8n-nodes-langchain.toolWorkflow
When chat message received
@n8n/n8n-nodes-langchain.chat
Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow
Calendar MCP
@n8n/n8n-nodes-langchain.mcpClientTool
My Functions
@n8n/n8n-nodes-langchain.mcpClientTool
My Functions Server
@n8n/n8n-nodes-langchain.mcp
Generate random user data
@n8n/n8n-nodes-langchain.toolWorkflow
Random Jokes
@n8n/n8n-nodes-langchain.toolWorkflow
OpenAI 4o
@n8n/n8n-nodes-langchain.lmChatOpenAi
AI Agent
@n8n/n8n-nodes-langchain.agent
Switch
Switch
Convert Text to Upper Case
Set
Convert Text to Lower Case
Set
Random user data
DebugHelper
Joke Request
HTTP
Return only some fields
Set
22 steps · flows top to bottom, branches left to right
Browse by integration
Import into n8n
- Download the n8n JSON file (full or sanitized).
- In n8n: Workflows → Import from file.
- Open each node and reconnect credentials to your accounts.
- Test with manual execution before enabling triggers.
Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.
Overview
Build your first AI MCP Server (32-node n8n automation, agent, googleCalendarTool, mcp, executeWorkflow, switch, toolWorkflow, chat, memoryBufferWindow) is free on OpenRuna — view the graph and export the JSON to import into n8n.
What this workflow does
"Build your first AI MCP Server" is an n8n automation built from 32 nodes spanning agent, googleCalendarTool, mcp, executeWorkflow, switch, toolWorkflow, chat, memoryBufferWindow. 32 nodes · agent, googleCalendarTool, mcp, executeWorkflow, switch, toolWorkflow A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. On OpenRuna you get the visual graph, the integration list, and a downloadable JSON ready to import into n8n. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.
Use cases
- Benchmark it against your current agent integration to spot missing steps or redundant nodes.
- Fork it to add error handling, retries, or a notification step without designing the 32-node flow from scratch.
- Use it as a starting template when wiring agent, googleCalendarTool, mcp, executeWorkflow, switch, toolWorkflow, chat, memoryBufferWindow — adjust node parameters to your accounts and record IDs.
- Import "Build your first AI MCP Server" into n8n, reconnect credentials for agent, googleCalendarTool, mcp, executeWorkflow, switch, toolWorkflow, chat, memoryBufferWindow, and run the same automation in your own workspace.
Example output
Imported into n8n, "Build your first AI MCP Server" exposes 32 configured nodes. Trigger type: scheduled/triggered. Integrations: agent, googleCalendarTool, mcp, executeWorkflow, switch, toolWorkflow, chat, memoryBufferWindow. Reconnect the agent credential first, then walk the remaining nodes top to bottom. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.
Tips by platform
Claude
Paste the exported JSON for "Build your first AI MCP Server" into Claude and ask it to explain each of the 32 nodes. Claude is good at suggesting credential mappings for agent, googleCalendarTool, mcp, executeWorkflow, switch, toolWorkflow, chat, memoryBufferWindow, plus error-handling and idempotency improvements before you run it in production.
ChatGPT
Have ChatGPT generate a checklist for adapting "Build your first AI MCP Server" to your accounts — which agent, googleCalendarTool, mcp, executeWorkflow, switch, toolWorkflow, chat, memoryBufferWindow credentials to create and which node parameters to change first.
Cursor
Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 32 nodes.
Frequently asked questions
- How do I import "Build your first AI MCP Server" into n8n?
- Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
- Which integrations does "Build your first AI MCP Server" use?
- It uses: agent, googleCalendarTool, mcp, executeWorkflow, switch, toolWorkflow, chat, memoryBufferWindow. The flow diagram above shows how each service connects across the 32 nodes. Filter OpenRuna by integration to find related workflows and tools.
- Can I import a sanitized export without credentials?
- Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own agent and googleCalendarTool credentials in n8n after import.
- What trigger type does "Build your first AI MCP Server" use?
- Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
- Is "Build your first AI MCP Server" free to use?
- OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for agent, googleCalendarTool, mcp, executeWorkflow, switch, toolWorkflow, chat, memoryBufferWindow.
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