ayon-mcp
A lean, standardized MCP server for AYON (Ynput) that enables AI agents to drive an AYON production server through a clean interface, providing 20 tools for CRUD operations, schema discovery, and typed helpers.
README
ayon-mcp
A lean, standardized MCP server for AYON (Ynput) — drive an AYON production server from any AI agent through one clean interface.
Fourth in a set of single-purpose tracker MCPs, all the same shape so an agent (or a migration) can speak to any of them interchangeably:
shotgrid-mcp · ftrack-mcp · kitsu-mcp · ayon-mcp
What it gives you (20 tools)
- One generic CRUD family over AYON's entities —
find/get/create/update/delete(entity types:folder,task,product,version,representation). - Schema / discovery —
list_projects,get_project,list_folder_types,list_task_types,list_statuses(with the canonical mapping),list_tags,get_attributes,list_addons,whoami. - Typed helpers —
new_folder(any folder type),new_task,new_product,new_version,set_status. project_summary— a normalized, cross-tracker snapshot (counts + per-shot tasks with canonical statuses) in the exact same shape the other three MCPs emit, so hub tools (verify / migrate / audit) work on AYON for free. AYON's polymorphic folders are mapped onto sequences/assets/shots byfolder_type.
What's standardized here (vs a raw AYON client)
- One CRUD family instead of dozens of typed endpoints —
find("folder", project, {...})etc. - A two-level
dry_runon every write —"plan"(client-side echo, contacts nothing) and"preflight"(resolves references + validates statuses against live data, returns a before→after diff and anok/would_failverdict — writes nothing). OptionalMCP_PLAN_LOG=/path.jsonlrecords every plan. - Canonical statuses — AYON's per-project statuses (Not ready / In progress / Pending review / Approved…)
are mapped to the shared
todo/wip/done/review/approvedset, so cross-tracker logic is uniform. - The normalized
project_summarycontract — identical to shotgrid/ftrack/kitsu-mcp.
Install
pip install ayon-python-api fastmcp
Configure (env only — no secrets in source)
export AYON_SERVER_URL="http://your-ayon:5000"
export AYON_API_KEY="<a service / API key>" # create one in AYON ▸ user ▸ API keys
Add to Claude Code / any MCP client:
claude mcp add ayon \
-e AYON_SERVER_URL=$AYON_SERVER_URL \
-e AYON_API_KEY=$AYON_API_KEY \
-- python /path/to/ayon-mcp/server.py
Part of a tracker-MCP set — migrate between platforms
Because all five MCPs emit the same project_summary and accept a uniform tool surface, an agent with two
loaded can copy a project across trackers (read source → write target) with no bespoke script — the
clone-as-hub thesis as five shippable MCPs. AYON's own ayon-ftrack addon does exactly this kind of sync
internally; this MCP exposes AYON to the same agent-driven workflow.
AYON specifics handled
- Polymorphic folder hierarchy — folders are Episode/Sequence/Shot/Asset (any nesting);
new_foldertakes afolder_type, andproject_summaryflattens them onto the cross-tracker shape. - Product → Version → Representation publish model — first-class in the CRUD family.
- Anatomy / attributes —
get_attributes(entity_type)+get_projectexpose the schema-as-data.
Built on the official ayon-python-api (ayon_api) + fastmcp. MIT. Credits Ynput for AYON
(AGPL server, open source).
Docs
📊 COMPARISON.md — side-by-side of the five trackers (ShotGrid · ftrack · Kitsu ·
AYON · NIM): data model, status vocabularies, and the migration incompatibilities to know about.
🧪 TESTING.md — how these servers are validated (live round-trip tests + two-level
dry-run checks).
Built by John Huikku · alienrobot.com
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。