Skip to content
~/sph.sh

ai-integration

5 posts

Zapier MCP as a Permission Control Layer: Taming Broad API Access for AI Agents

How Zapier MCP provides action-level whitelisting, credential isolation, and human-in-the-loop approval for AI agents. A managed alternative to custom scoped proxies for multi-app API governance.

mcpsecurityai-agents+4
Skip the MCP Layer: Scoped API Access for Production AI Agents

Why production teams replace broad MCP access with scoped API proxies. Covers Atlassian (Jira/Confluence), Google Workspace, and Notion with FastAPI proxy, CLI wrapper, and n8n examples.

mcpapi-designpython+5
MCP Advanced Patterns: Skills, Workflows, Integration, and RBAC

Enterprise-grade patterns for Model Context Protocol implementations including tool composition, multi-agent orchestration, role-based access control, and production observability.

mcpai-integrationrbac+4
AI Integration Levels for Enterprises: A Decision Framework from SaaS to Fine-Tuning

A practical 6-level framework for enterprise AI integration decisions. Learn when to use ChatGPT, RAG, MCP agents, or fine-tuning, with special focus on PII handling and finance sector compliance requirements.

ai-integrationenterprise-airag+5
Model Context Protocol: Building Production-Ready AI Integrations

Learn how MCP standardizes AI tool integration, with TypeScript examples for building servers, managing security, and optimizing performance in production.

mcpai-integrationclaude+3