Enables Large Language Models to interact with ShotGrid directly by providing a modern Rust client and native Model Context Protocol (MCP) server.
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This project offers a robust, modern Rust implementation of the ShotGrid/Flow Production Tracking REST API client, featuring native Model Context Protocol (MCP) server support. It empowers Large Language Models to directly engage with ShotGrid, facilitating advanced automation and data interaction. Building upon an existing foundation, this complete rewrite introduces a suite of new capabilities including full async/await support, comprehensive error handling, dedicated time tracking tools, and an optional ORM layer for type-safe entity modeling.
Key Features
01Enhanced error handling and diagnostics
021 GitHub stars
03Modern tokio-based async/await runtime
04Native MCP Server with 14 comprehensive tools for LLM integration
05Dedicated TimeLog tracking and statistics tools
06Optional type-safe ORM layer with code generation
Use Cases
01Connecting Large Language Models (LLMs) to ShotGrid via the Model Context Protocol
02Automating ShotGrid workflows and data management with generative AI
03Developing custom, high-performance ShotGrid integrations in Rust