# AI Development with the MBS FileMaker Plugin **URL:** \ **Category:** MBS Plugins\ **Tags:** ai, plugin, mbs\ **Created:** [April 18, 2026, 12:34pm UTC](https://the.fmsoup.org/t/ai-development-with-the-mbs-filemaker-plugin/5383 "2026-04-18T12:34:40Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![MonkeybreadSoftware](https://yyz2.discourse-cdn.com/flex030/user_avatar/the.fmsoup.org/monkeybreadsoftware/32/361_2.png) [@MonkeybreadSoftware](https://the.fmsoup.org/u/MonkeybreadSoftware)\ **Post date:** [April 18, 2026, 12:34pm UTC](https://the.fmsoup.org/t/ai-development-with-the-mbs-filemaker-plugin/5383/1 "2026-04-18T12:34:40Z")
The [MBS FileMaker Plugin](https://www.monkeybreadsoftware.com/filemaker/) provides a comprehensive set of components to integrate Artificial Intelligence (AI) and Machine Learning (ML) into FileMaker solutions. This includes local LLM execution, platform-native ML frameworks, external API integration, and scripting bridges to other AI ecosystems. Below is a technical overview of the available components and how developers can use them in real-world scenarios. ![](https://www.mbsplugins.de/Image/FoundationModelsFileMaker.png) ### Foundation Models Provides access to Apple's Foundation Models framework for running on-device large language models (LLMs). - Initialize and manage model sessions - Send prompts and receive streamed or complete responses - Configure parameters such as temperature, token limits, and system prompts - Supports multilingual input/output Typical use cases include chat interfaces, text summarization, structured data extraction, and natural language command parsing—all without requiring internet access. See [FoundationModels](https://www.mbsplugins.eu/component_FoundationModels.shtml) functions and [Use Foundation Models in FileMaker](https://www.mbsplugins.de/archive/2025-10-02/Use_Foundation_Models_in_FileM/monkeybreadsoftware_blog_filemaker). ### Llama.cpp Integrates _llama.cpp_ to run open-source LLMs locally within FileMaker. - Load GGUF/GGML models from local storage - Control inference parameters (context size, temperature, top-k, top-p) - Maintain conversation context for chat-based workflows - No dependency on external services Ideal for offline deployments, secure environments, or custom fine-tuned models. Developers can build fully self-contained AI systems inside FileMaker. See [Llama](https://www.mbsplugins.eu/component_Llama.shtml) functions and [Use Llama.cpp in FileMaker](https://www.mbsplugins.de/archive/2026-02-17/Use_Llamacpp_in_FileMaker/monkeybreadsoftware_blog_filemaker). ### CoreML Execute machine learning models using Apple's CoreML framework. - Load compiled .mlmodel files - Run inference on structured or image data - Supports classification, regression, and neural networks Common use cases include predictive analytics, recommendation systems, and image classification workflows embedded directly in FileMaker. See [CoreML](https://www.mbsplugins.eu/component_CoreML.shtml) functions and related functions that run CoreML models within the frameworks like [CoreImage.Detect](https://www.mbsplugins.eu/CoreImageDetect.shtml) function. ### Windows ML Provides access to Windows Machine Learning APIs on Windows 10 and newer. - Load ONNX models - Perform inference using local hardware acceleration - Integrate ML into Windows-based FileMaker deployments Useful for cross-platform solutions where macOS uses CoreML and Windows uses ONNX-based models. See [WindowsML](https://www.mbsplugins.eu/component_WindowsML.shtml) functions. ### Vision Wraps Apple’s Vision framework for image analysis tasks. - Text detection and recognition - Face detection and landmark tracking - Object recognition and classification - Barcode and QR code detection Often combined with CoreML for custom vision models or with OCR workflows for document processing pipelines. See [Vision](https://www.mbsplugins.eu/component_Vision.shtml) functions and [Vision Framework for FileMaker](https://www.mbsplugins.de/archive/2019-08-19/Vision_Framework_for_FileMaker/monkeybreadsoftware_blog_filemaker). ### Image Playground Interfaces with Apple Intelligence image generation features. - Generate images from text prompts - Adjust styles and generation parameters - Store generated images directly in FileMaker container fields Useful for generating previews, assets, or user-driven content inside applications. See [ImagePlayground](https://www.mbsplugins.eu/component_ImagePlayground.shtml) functions and [Use Image Playground in FileMaker](https://www.mbsplugins.de/archive/2024-12-18/Use_Image_Playground_in_FileMa/monkeybreadsoftware_blog_filemaker). ![](https://www.mbsplugins.de/image/ImagePlaygroundFileMaker2.jpg) ### Python Run Python-based AI workflows directly from FileMaker. - Execute Python code via MBS [Python](https://www.mbsplugins.eu/component_Python.shtml) functions - Call external scripts using [Shell](https://www.mbsplugins.eu/component_Shell.shtml) functions - Integrate libraries such as TensorFlow, PyTorch, scikit-learn, or transformers This approach enables access to the broader AI ecosystem, including custom pipelines, embeddings, vector databases, and advanced data processing. See [Python](https://www.mbsplugins.eu/component_Python.shtml) functions and [Using Python in FileMaker](https://www.mbsplugins.de/archive/2024-06-24/Using_Python_in_FileMaker/monkeybreadsoftware_blog_filemaker). ### OCR Built-in OCR functionality based on Tesseract. - Extract text from images and PDFs - Support multiple languages - Preprocess images for improved recognition accuracy Frequently used for invoice processing, document indexing, and data entry automation. See [OCR](https://www.mbsplugins.eu/component_OCR.shtml), [WindowsOCR](https://www.mbsplugins.eu/component_WindowsOCR.shtml) functions and [OCR on Windows in FileMaker](https://www.mbsplugins.de/archive/2023-02-07/OCR_on_Windows_in_FileMaker/monkeybreadsoftware_blog_filemaker). ### CURL Provides HTTP client functionality to connect with external AI services. - Send REST API requests (POST/GET) - Handle authentication (API keys, headers) - Parse JSON responses using FileMaker [JSON](https://www.mbsplugins.eu/component_JSON.shtml) functions Enables integration with services such as OpenAI, Anthropic, or Google AI models. The plugin includes example files demonstrating ChatGPT API integration and response handling. See [CURL](https://www.mbsplugins.eu/component_CURL.shtml) functions and [Using ChatGPT in FileMaker](https://www.mbsplugins.de/archive/2024-10-16/Using_ChatGPT_in_FileMaker/monkeybreadsoftware_blog_filemaker). ### Integration Patterns You may combine various functions to build solutions based on the toolbox provided with MBS Plugin: - **Hybrid AI:** Combine local LLMs (FoundationModels/Llama) with cloud APIs - **Pipeline Processing:** OCR → LLM → Structured Data Output - **AI-assisted UI:** Natural language inputs driving FileMaker scripts - **Offline-first apps:** Fully local AI using Llama + CoreML ### Conclusion The [MBS FileMaker Plugin](https://www.monkeybreadsoftware.com/filemaker/) enables developers to integrate AI at multiple levels—from low-level ML inference to high-level conversational interfaces. By combining local processing, external APIs, and scripting bridges, it provides a flexible architecture for building modern, intelligent FileMaker solutions.