Claris MCP Deployment

A Model Context Protocol (MCP) server exposes FileMaker data and operations as callable tools for AI systems. Configuration involves defining resource endpoints, mapping FileMaker layouts and scripts to MCP tool definitions, and managing authentication via the FileMaker Data API. Once deployed, AI assistants can query records, execute scripts, and return structured data within conversational or automated workflows. Deployment considerations include scope controls to limit AI data access, logging for auditability, and environment management across development and production instances. The result is a governed, queryable interface between FileMaker and any MCP-compatible AI client.