Artículos del Blog Tecnológico

FileMaker es brillante en lo que es brillante — y el lugar equivocado para la lógica de integración compleja. Un argumento práctico para invertir la arquitectura: dejar que FileMaker sea el almacén de datos y la superficie de disparo, y mover la lógica a donde los agentes de código, los paquetes y la testeabilidad vienen de serie.

La primera capa de administración en lenguaje natural para Claris FileMaker Server — buscando evaluadores de campo

Un análisis profundo de FMS-odata-webhooks, una aplicación React de código abierto para gestionar webhooks de FileMaker Server 22.0.4 — más siete comportamientos de la API no documentados descubiertos durante su construcción.

How to preprocess and architect heterogeneous business data for vector databases, semantic search, and AI agents — and why mastering this is becoming one of the most valuable skills in enterprise AI.

Transform your AI assistant into a FileMaker SVG expert with this comprehensive skill file. Generate, heal, and validate FileMaker-compatible icons using natural language commands in Claude, Cursor, Windsurf, and other AgentSkills-compatible AI tools.

How OData Webhooks transform FileMaker from database platform to event-driven integration hub, enabling real-time integrations that were previously impossible or painful to implement.

Democratizing FileMaker Development—Build Sophisticated Interfaces with Just a Description. Powered by FileMaker MCP Server + OData.

FileMaker's native OData support is powerful—but underused. This MCP server turns it into a universal data passport. Any OData-compliant client—AI agent, Power BI, web app, or integration—can now query, filter, join, and explore your FileMaker data using standard REST syntax.

Imagine handing your entire FileMaker knowledge base to an AI agent. The FileMaker Data API MCP Server gives AI agents complete introspection of your FileMaker solution, enabling architect-level coding capabilities.

Transform your FileMaker data into actionable intelligence with real-time monitoring and visualization. Learn how to automatically feed FileMaker data into the Logstash/Elasticsearch/Kibana (ELK) stack using FileMaker's JDBC interface. This comprehensive guide walks you through setting up seamless data ingestion, creating powerful dashboards, and gaining instant visibility into your critical business metrics—all without custom development complexity.