Kitsu MCP Server

Kitsu MCP Server

Connects AI assistants to the Kitsu open-source production management platform for animation, VFX, and game studios. It provides over 70 tools to manage projects, assets, shots, tasks, and production pipelines through natural language.

Category
访问服务器

README

Kitsu MCP Server

An MCP (Model Context Protocol) server that connects AI assistants like Claude to Kitsu — the open-source production management tool for animation, VFX, and game studios.

Built with FastMCP and the Gazu Python client.

Features

71 tools covering the full Kitsu production pipeline:

Category Tools
Projects List, overview, stats, create, close
Assets List, details, create, update, delete, asset types, CSV import/export
Shots & Sequences List, details, create, update, delete, batch create, CSV import/export, OTIO import
Tasks List, details, create, batch create, assign, update status, set estimates, delete
Time Tracking Add, set, get time spent
Comments Add comments, list comment history
Previews Upload preview, publish preview (status + comment + file in one)
Casting Get/set shot casting, get asset casting
Team & People List team, person tasks, create person, departments
Playlists List, create, add entities, build movie
Budgets List, create budgets and budget entries
Concepts List, create concepts
Edits List, create edits
Scenes List, create scenes
Metadata List and add custom metadata descriptors
Other Search, notifications, task statuses, daily progress report

Requirements

  • Python 3.10+
  • A running Kitsu instance (self-hosted or cloud)
  • A Kitsu user account with appropriate permissions

Installation

git clone https://github.com/INGIPSA/kitsu-mcp-server.git
cd kitsu-mcp-server
pip install -r requirements.txt

Configuration

The server requires three environment variables:

Variable Description Example
KITSU_HOST Your Kitsu API URL https://kitsu.yourstudio.com/api
KITSU_USER Login email artist@yourstudio.com
KITSU_PASSWORD Login password your-password

Usage

With Claude Code

Add to your Claude Code MCP config (~/.claude/claude_desktop_config.json or project-level .mcp.json):

{
  "mcpServers": {
    "kitsu": {
      "command": "python",
      "args": ["path/to/kitsu-mcp-server/server.py"],
      "env": {
        "KITSU_HOST": "https://kitsu.yourstudio.com/api",
        "KITSU_USER": "your-email@example.com",
        "KITSU_PASSWORD": "your-password"
      }
    }
  }
}

With Claude Desktop

Add the same config block to Claude Desktop's settings under MCP servers.

Standalone

export KITSU_HOST="https://kitsu.yourstudio.com/api"
export KITSU_USER="your-email@example.com"
export KITSU_PASSWORD="your-password"

python server.py

Example prompts

Once connected, you can ask your AI assistant things like:

  • "List all open projects in Kitsu"
  • "Create shots SH010 through SH200 in sequence SQ01"
  • "Upload this render as a preview for the lighting task on SH020"
  • "What happened in the project in the last 24 hours?"
  • "Assign the animation task on SH030 to anna@studio.com"
  • "Add 4 hours of work on this task for today"
  • "Export all shots to CSV"
  • "Create a new playlist and add all shots from SQ01"
  • "What are the budget entries for this project?"

Available tools

Read

  • list_projects — List all open projects
  • get_project_overview — Project overview with team, task types, asset types
  • get_project_stats — Task statistics grouped by status
  • list_assets — List assets (optionally filtered by type)
  • get_asset_details — Asset details with tasks
  • list_sequences — List sequences
  • list_shots — List shots (optionally filtered by sequence)
  • get_shot_details — Shot details with tasks and casting
  • list_my_tasks — Tasks assigned to logged-in user
  • list_tasks_for_entity — Tasks for a specific asset or shot
  • get_task_details — Task details with comment history
  • get_time_spent — Time entries for a task
  • list_comments — Comments on a task
  • get_shot_casting — Asset breakdown for a shot
  • get_asset_casting — Shots an asset appears in
  • list_team_members — Team members in a project
  • get_person_tasks — Tasks for a specific person
  • list_departments — All departments
  • list_playlists — Playlists in a project
  • list_task_statuses — Available task statuses
  • list_notifications — Recent notifications
  • search — Search entities by name
  • daily_progress_report — Activity summary for last N hours
  • list_concepts — Concepts in a project
  • list_edits — Edits in a project
  • list_scenes — Scenes in a project
  • list_metadata_descriptors — Custom metadata fields
  • get_budgets — Budgets for a project
  • get_budget_entries — Entries in a budget
  • export_assets_csv — Export assets to CSV
  • export_shots_csv — Export shots to CSV

Create

  • create_project — Create a new project
  • create_asset_type — Create an asset type
  • create_asset — Create an asset
  • create_episode — Create an episode
  • create_sequence — Create a sequence
  • create_shot — Create a shot
  • create_task — Create a task with optional assignees
  • create_person — Create a new user
  • create_department — Create a department
  • create_playlist — Create a playlist
  • create_budget — Create a budget
  • create_budget_entry — Create a budget entry
  • create_concept — Create a concept
  • create_edit — Create an edit
  • create_scene — Create a scene
  • add_metadata_descriptor — Add a custom metadata field

Update

  • update_task_status — Change task status with optional comment
  • assign_task — Assign a person to a task
  • set_task_estimate — Set time estimate for a task
  • add_comment — Add a comment to a task
  • set_shot_casting — Set which assets appear in a shot
  • update_asset — Update asset description/metadata
  • update_shot — Update shot description/frames/metadata
  • add_time_spent — Add time spent on a task
  • set_time_spent — Set time spent on a task
  • add_person_to_department — Add person to department
  • remove_person_from_department — Remove person from department
  • add_entity_to_playlist — Add shot/asset to playlist

Batch

  • batch_create_shots — Create multiple shots at once (e.g. SH010-SH200)
  • batch_create_tasks — Add a task type to all shots/assets in a group

Preview

  • upload_preview — Upload a preview file to a task
  • publish_preview — Status + comment + preview in one step

Import/Export

  • import_assets_csv — Import assets from CSV
  • import_shots_csv — Import shots from CSV
  • import_otio — Import timeline from OpenTimelineIO

Dangerous (require confirm=True)

  • delete_shot — Delete a shot
  • delete_asset — Delete an asset
  • delete_task — Delete a task
  • close_project — Close/archive a project
  • build_playlist_movie — Build a movie from playlist

License

MIT License — see LICENSE.

Credits

  • Kitsu by CGWire
  • Gazu Python client by CGWire
  • MCP by Anthropic

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选