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ShotGrid MCP Server

ShotGrid MCP Server is a high-performance implementation of the Model Context Protocol (MCP) for Autodesk ShotGrid. It provides a standardized way for LLMs to interact with your ShotGrid data and functionality, enabling AI assistants to help with production tracking, asset management, and more. 
from shotgrid_mcp_server import ShotGridMCPServer

server = ShotGridMCPServer(
    name="ShotGrid Assistant",
    shotgrid_url="https://your-site.shotgunstudio.com",
    script_name="your_script_name",
    api_key="your_api_key"
)

@server.tool()
def find_shots(project_name: str, status: str = None):
    """Find shots in a project with optional status filter."""
    # The server handles ShotGrid connection management for you
    return server.find_shots(project_name, status)

if __name__ == "__main__":
    server.run()

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What is MCP?

The Model Context Protocol lets you build servers that expose data and functionality to LLM applications in a secure, standardized way. It is often described as “the USB-C port for AI”, providing a uniform way to connect LLMs to resources they can use. MCP servers can:
  • Expose data through Resources (think of these as GET endpoints; they are used to load information into the LLM’s context)
  • Provide functionality through Tools (like POST endpoints; they are used to execute code or produce side effects)
  • Define interaction patterns through Prompts (reusable templates for LLM interactions)
ShotGrid MCP Server implements this protocol specifically for ShotGrid, making it easy to build AI assistants that can interact with your production data.

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Why ShotGrid MCP Server?

ShotGrid MCP Server provides several key benefits: 🚀 Optimized for ShotGrid: Built specifically for ShotGrid’s data model and API 🔄 Connection Pooling: Efficiently manages ShotGrid API connections 🧠 Smart Queries: Implements best practices for efficient ShotGrid queries 🛡️ Robust Error Handling: Gracefully handles ShotGrid API errors 🔌 MCP Compatible: Works with any MCP-compatible client, including Claude, ChatGPT, and more Whether you’re building a production assistant, a data visualization tool, or integrating ShotGrid with your AI workflows, ShotGrid MCP Server provides the foundation you need.