Shotgrid MCP Rs
The ShotGrid MCP Rust client provides a complete implementation of the ShotGrid/Flow Production Tracking REST API and integrates the Model Context Protocol server, enabling large - language models to directly interact with ShotGrid.
rating : 2.5 points
downloads : 7.5K
What is the ShotGrid MCP Server?
The ShotGrid MCP Server is a bridge that connects AI assistants with the ShotGrid production management system. It allows you to directly query and manipulate ShotGrid data using natural language instructions (such as 'Find all ongoing tasks' or 'Calculate the working hours this week') without manually logging into the system or writing complex queries.How to use the ShotGrid MCP Server?
Simply configure it once in an AI assistant (such as Claude Desktop or Claude Code), and then you can query ShotGrid data using natural language just like having a conversation with the assistant. For example, you can ask 'Show all assets in Project X' or 'Create a new time record'.Applicable scenarios
It is suitable for users who need to frequently query ShotGrid data, such as production managers, artists, and project managers. It is particularly suitable for scenarios like quickly generating reports, finding task statuses, recording working hours, batch - updating data, and cross - project searching.Main Features
Complete data operations
Supports create, read, update, delete, and restore operations, covering all ShotGrid entity types (tasks, assets, shots, versions, etc.)
Intelligent search
Provides simple search and advanced filtered search, supports AND/OR/NOT logic, and automatically handles spaces in field names
Time tracking management
A dedicated time - recording tool that supports querying time entries and generating statistical reports (total, average, maximum, etc.)
Batch operations
Processes multiple data operations at once, improving efficiency and reducing the number of API calls
Cross - entity text search
Provides a Google - like search experience, allowing you to search multiple entity types (tasks, assets, shots, etc.) simultaneously
Data summarization and analysis
SQL - style aggregation functions, supporting grouped statistics, counting, summing, and average calculation
Comment thread management
Complete commenting and reply functions, supporting attachments and viewing conversation threads
Data structure viewing
View the field definitions and data types of ShotGrid entities to help understand the data structure
Advantages
๐ Natural language interaction: Operate data through conversations without learning complex query syntax
๐ก๏ธ Automatic error prevention: Automatically cleans spaces in field names to avoid common API errors
โก Dual - mode support: Supports local stdio mode and remote HTTP mode to adapt to different usage scenarios
๐ Professional time tracking: A dedicated time - recording tool to meet the needs of production management
๐ง Ready - to - use: Easy to configure and can be used for a long time after a single setup
Limitations
โ ๏ธ Experimental project: Currently in the test version, not recommended for production environments
๐ Requires API permissions: Requires ShotGrid script user permissions to use
๐ถ Network - dependent: Requires a stable network connection to access the ShotGrid server
๐ Function limitations: Some advanced ShotGrid functions may not be supported yet
๐ป Technical threshold: Initial configuration requires certain technical knowledge
How to Use
Install the server
Install the ShotGrid MCP Server via the Cargo package manager
Prepare ShotGrid credentials
Obtain the URL, script name, and script key of the ShotGrid server
Configure the AI assistant
Add the MCP server configuration in Claude Desktop or Claude Code
Start using
Restart the AI assistant, and then you can query ShotGrid data using natural language
Usage Examples
Project progress query
The production manager needs to quickly understand the current status of the project
Working hours statistics
The artist needs to calculate the working hours this week for reporting
Batch task update
The supervisor needs to batch - update the status of multiple tasks
Cross - project search
Find the usage of a specific asset or shot in all projects
Frequently Asked Questions
What kind of ShotGrid permissions do I need to use this tool?
Is this tool secure? Will it leak my ShotGrid data?
Which AI assistants are supported?
What should I do if I encounter a 'Field does not exist' error?
Can I connect to multiple ShotGrid servers simultaneously?
What is the difference between HTTP mode and stdio mode?
Related Resources
ShotGrid official website
Official documentation and resources for ShotGrid/Flow Production Tracking
Model Context Protocol
Official documentation and specifications for the MCP protocol
GitHub repository
Project source code, issue tracking, and update logs
Original project
The original Rust ShotGrid client project on which this is based
Development documentation
Detailed API documentation and development guide

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ยฉ 2025AIBase

