Orchestrate enterprise MCP AI tool access with Claude and Google Sheets

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

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

Setup Steps

Import workflow into n8n
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
Populate the RBAC policy sheet with roles, permissions, and data classifications
Configure your enterprise system endpoints in the tool dispatch nodes
Set your tenant IDs and org-level data policies
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": "[email protected]",
"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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