This workflow automates contact management using n8n and Airtable triggered through the Model Context Protocol (MCP). It allows an AI assistant to perform CRUD (Create, Read, Update, Delete) operations on contact data stored in Airtable, based on AI requests received via webhooks. The process begins with an MCP trigger, which acts as the entry point for AI interactions, such as retrieving contact details, adding new contacts, searching for specific records, or deleting contacts.

Key nodes include the MCP Server Trigger, which listens for incoming requests from AI, and various Airtable nodes for managing records. The ‘Get Record’ node fetches detailed contact info based on a provided Record ID, enabling the AI to display or process contact data. The ‘Create Record’ node adds new contacts with specified information, such as Name, Email, and Assignee. The ‘Search Record’ node allows for filtering contacts based on formulas, supporting complex queries like finding contacts assigned to a particular person. The ‘Delete Record’ node removes contacts permanently by their Record ID.

Each operation is triggered by a user or AI request, making this workflow highly useful for customer relationship management (CRM), automated support systems, or any scenario requiring dynamic contact data handling driven by AI. It ensures seamless data exchange between AI interfaces and Airtable, streamlining operations and enhancing responsiveness.