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 auditibly interact with any business system — CRM, ERP, databases, SaaS — through a single MCP-compliant interface.
How it works
- Receive MCP Tool Request - Webhook ingests tool call from AI agent or MCP client
- Validate & Authenticate - Verifies API key, checks JWT token, validates MCP schema
- Tool Registry Lookup - Resolves requested tool name to backend API config and permission scope
- Claude AI Intent Verification - Confirms tool call parameters are safe, well-formed, and within policy
- Rate Limit & Quota Check - Enforces per-client tool call limits before execution
- Execute Backend API Call - Routes to the correct business system API with mapped parameters
- Normalize & Enrich Response - Standardizes API response into MCP tool result schema
- Audit & Log - Writes immutable access log for compliance and observability
- Return MCP Tool Result - Delivers structured response back to the AI agent
Setup Steps
- Import workflow into n8n
- Configure credentials:
- Anthropic API - Claude AI for intent verification and parameter validation
- Google Sheets - Tool registry, rate limit tracking, and audit log
- SMTP - Alert notifications for policy violations
- Populate the Tool Registry sheet with your API endpoints
- Set your MCP gateway API key in the validation node
- Activate the workflow and point your MCP client to the webhook URL
Sample MCP Tool Call Payload
{
"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"
}
Supported Tool Categories
- CRM Tools — get_customer, update_contact, list_deals
- ERP Tools — get_inventory, create_order, update_stock
- Database Tools — query_records, insert_record, update_record
- Communication Tools — send_email, post_slack, create_ticket
- Analytics Tools — run_report, fetch_metrics, export_data
Features
- MCP-compliant schema — works with any MCP-compatible AI agent
- Granular permission scopes — read/write/admin per tool per client
- Claude AI intent guard — blocks malformed or policy-violating calls
- Rate limiting — per-client quota enforcement
- Full audit trail — every tool call logged for SOC2 / ISO 27001
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