Block 1 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow transforms traditional REST APIs into structured, AI accessible MCP (Model Context Protocol) tools. It provides a unified gateway that allows Claude AI to safely, granularly, and audi...
n8n-nodes-base.stickynote, n8n-nodes-base.webhook, n8n-nodes-base.code, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatanthropic, n8n-nodes-base.if, n8n-nodes-base.httprequest
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Oneclick AI Squad.
Original n8n.io sourceThis workflow transforms traditional REST APIs into structured, AI-accessible MCP (Model Context Protocol) tools. It provides a unified gateway that allows Claude AI to safely, granularly, and auditibly interact with any business system — CRM, ERP, databases, SaaS — through a single MCP-compliant interface.
{
"mcpVersion": "1.0",
"clientId": "agent-crm-001",
"apiKey": "mcp-key-xxxx",
"toolName": "crm.get_customer",
"parameters": {
"customerId": "CUST-10042",
"fields": ["name", "email", "tier"]
},
"requestId": "req-abc-123",
"callerContext": "User asked: show me customer details"
}
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This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Route MCP tool calls through an intelligent gateway with Claude AI |
|---|---|
| Complexity | advanced |
| Nodes | 24 |
| Categories | DevOps, AI RAG |
| Author | Oneclick AI Squad |
| Published | 22 Feb 2026 |
Use the JSON export at /data/workflows/13590/13590.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
This workflow transforms traditional REST APIs into structured, AI accessible MCP (Model Context Protocol) tools. It provides a unified gateway that allows Claude AI to safely, granularly, and audi...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your DevOps, AI RAG use case.