Orchestrate enterprise MCP AI tool access with Claude and Google Sheets
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": "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
Explore More LinkedIn & Social Automation:
Contact us to design AI-powered lead nurturing, content engagement, and multi-platform reply workflows tailored to your growth strategy.
Related Templates
Restore your workflows from GitHub
This workflow restores all n8n instance workflows from GitHub backups using the n8n API node. It complements the Backup ...
Build a Restaurant Voice Assistant with VAPI and PostgreSQL for Bookings & Orders
This n8n template demonstrates how to create a comprehensive voice-powered restaurant assistant that handles table reser...
Extract Named Entities from Web Pages with Google Natural Language API
Who is this for? Content strategists analyzing web page semantic content SEO professionals conducting entity-based anal...
🔒 Please log in to import templates to n8n and favorite templates
Workflow Visualization
Loading...
Preparing workflow renderer
Comments (0)
Login to post comments