⚒️ Orchestrate enterprise MCP AI tool access with Claude and Google Sheets

⚡ 6 views · ⚒️ Engineering

Description

A secure, scalable enterprise AI orchestration layer built on the Model Context Protocol (MCP). This workflow standardizes tool access across all business systems, enforces permission-based data handling, applies contextual reasoning via Claude AI, and provides a single governance plane for multi-agent AI deployments.

How it works

1. Receive AI Agent Request - Unified MCP webhook accepts tool or context requests from any agent
2. Enterprise Auth & RBAC - Validates JWT, resolves role-based access controls, enforces tenant isolation
3. Context Assembly - Builds full enterprise context: user profile, org policies, active sessions, prior tool calls
4. Claude AI Orchestration - Reasons over context to select optimal tool chain, validate intent, plan execution
5. Policy Enforcement Engine - Applies data classification, DLP rules, and geo/time-based restrictions
6. Multi-System Tool Dispatch - Routes to CRM, ERP, HRMS, Data Warehouse, or custom APIs in parallel
7. Response Aggregation - Merges multi-tool results, applies post-processing and redaction rules
8. Compliance Logging - SOC2/ISO27001-ready audit trail with data lineage tracking
9. Return Enriched Context - Delivers MCP-compliant response with reasoning trace back to agent

Setup Steps

1. Import workflow into n8n
2. Configure credentials:
   • Anthropic API - Claude AI for orchestration and contextual reasoning
   • Google Sheets - RBAC policy store, session registry, audit log
   • SMTP / Slack - Security and compliance notifications
   • JWT Secret - For enterprise token validation
3. Populate the RBAC policy sheet with roles, permissions, and data classifications
4. Configure your enterprise system endpoints in the tool dispatch nodes
5. Set your tenant IDs and org-level data policies
6. Activate workflow and register the webhook URL with your AI agent platform

Sample Enterprise MCP Request

{
  "mcpVersion": "1.1",
  "agentId": "sales-agent-prod-007",
  "jwtToken": "eyJhbGciOiJIUzI1NiJ9...",
  "tenantId": "ORG-ACME-001",
  "userId": "john.doe@acme.com",
  "userRole": "sales_manager",
  "toolRequests": [
    { "toolName": "crm.get_pipeline", "parameters": { "region": "APAC" } },
    { "toolName": "erp.get_inventory", "parameters": { "sku": "PROD-001" } }
  ],
  "agentGoal": "Prepare a quarterly sales brief for the APAC team meeting",
  "dataClassification": "INTERNAL",
  "sessionId": "sess-xyz-001"
}

Enterprise Features

• Multi-tenant isolation — strict org boundary enforcement
• RBAC + ABAC — role and attribute-based access control per tool per data class
• Data Loss Prevention (DLP) — redacts PII/secrets before returning to agent
• Contextual AI reasoning — Claude plans the optimal tool chain for agent goals
• SOC2 / ISO 27001 audit trail with data lineage
• Geo & time-based policy — restrict tool access by region or business hours

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🔗 Nodes Used

Send Email, Google Sheets, HTTP Request, Webhook, AI Agent, Anthropic Chat Model

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup