🔗 Integrations & MCP / API Collections

Overview

ARPIA's Integrations module unifies your enterprise tools through the Model Context Protocol (MCP) and API Collections framework. This powerful combination enables AI assistants to seamlessly access and interact with data across all your platforms—from CRM systems to databases to custom APIs.

🎯 Key Benefits

Unified Data Access

• Connect disparate systems through a single interface
• Break down data silos between departments
• Enable cross-platform workflows without custom code

AI-Ready Infrastructure

• Claude, ChatGPT, and other AI agents query your data naturally
• Natural language commands replace complex SQL queries
• AI assistants handle system navigation automatically

Enterprise Security & Governance

• Complete audit trails for every interaction
• Token-based authentication with role-based access
• ISO 42001 AI governance compliance ready
• Detailed logging for compliance and optimization

No-Code Configuration

• Visual interface for setting up integrations
• Automatic API generation from data models
• Zero programming required for basic connections

🏗️ Architecture Components

Model Context Protocol (MCP)

An open standard that enables AI assistants to discover, authenticate with, and interact with your data sources through a standardized interface.

API Collections

Groups of related endpoints that share common authentication and governance rules. Each collection can contain:

• Database connections (MySQL, PostgreSQL, Snowflake)
• REST API integrations
• Custom Knowledge Nodes (Kubes)
• File storage endpoints (S3-compatible)

Token Hierarchy

Three-tier security model:

1. Collection Token: Workspace-level access
2. Resource Token: Specific endpoint access
3. Variant Token: Row and column-level security

🚀 How It Works

1. Create Collections: Group related data sources and APIs
2. Configure Resources: Define what data to expose and how
3. Apply Security: Set access rules through variants
4. Connect AI Agents: Provide tokens to AI assistants
5. Monitor Usage: Track all interactions through comprehensive logs

🔐 Governance & Compliance

Audit Capabilities

• Every query logged with timestamp, user, and payload
• 30-day retention (90 days for enterprise)
• Exportable logs for compliance reporting

Access Control

• Row-level security through variants
• Column-level data filtering
• Rate limiting (100 requests/minute standard)
• Token rotation policies

ISO 42001 Alignment

ARPIA's governance layer supports AI management system requirements:

• Documented AI interactions
• Risk assessment capabilities
• Performance monitoring
• Stakeholder access controls

🔄 Integration with ARPIA Ecosystem

Knowledge Grid Integration

MCP/API Collections access structured data from the Knowledge Grid, ensuring:

• Consistent data definitions
• Semantic relationships
• Optimized query paths

Workshop Layer

Custom logic and transformations through:

• Python/PHP processing environments
• ML model integration
• Data pipeline workflows

Data Layer Framework

Follows ARPIA's standard progression:

• RAW: Unprocessed source data
• CLEAN: Validated and standardized
• GOLD: Business-ready information
• OPTIMIZED: AI-enhanced datasets

📊 Common Use Cases

AI-Powered Analytics

Enable ChatGPT or Claude to query your databases and generate reports through natural language.

Cross-Platform Automation

Create tasks in project management while updating CRM records—all through AI commands.

Self-Service Data Access

Business users ask questions in plain English instead of writing SQL queries.

Intelligent Document Retrieval

AI agents search and summarize documents across multiple repositories.

🎓 Getting Started

1. Prerequisites (5 minutes)

   • Active ARPIA account
   • Connected data repositories
   • Understanding of your data security requirements

2. Create Your First Collection (10 minutes)

   • Navigate to Integrations & MCP
   • Define collection scope
   • Generate collection token

3. Add Resources (15 minutes)

   • Select data sources
   • Configure access rules
   • Test with AutoAPI Console

4. Connect AI Assistant (10 minutes)

   • Choose your AI platform
   • Configure authentication
   • Verify connectivity

Total Setup Time: ~40 minutes from zero to AI-ready data access

🆘 Support

• Email: [email protected]