modelcontextprotocol / modelcontextprotocol/python-sdk
FastMCP: Support dynamic annotation updates
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描述
Problem
FastMCP will support resource annotations (audience, priority, lastModified) via the @mcp.resource() decorator (see #1468). However, annotations are set once at decoration time and cannot be updated as the server runs.
This is problematic for lastModified especially. If you annotate a file resource, there's no easy way to keep the timestamp current as the file changes:
@mcp.resource("file://docs/readme.md", annotations=Annotations(
audience=["user"],
lastModified="2025-01-12T15:00:58Z"
))
def read_readme() -> str:
return open("readme.md").read()
Once deployed, this annotation is stale. If the file updates tomorrow, clients see outdated metadata.
Solution
Allow annotations to be updated dynamically. Possible approaches:
- Provide a method to update resource annotations at runtime
- Allow annotation callables/lambdas that compute values on each
list_resources()call - Return fresh annotations from resource handler functions
This would enable:
- Accurate
lastModifiedtimestamps from file mtimes - Dynamic audience/priority based on server state
- Better integration with external data sources
Issue written by Claude, reviewed by @maxisbey
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调研方向
从 FastMCP 的 @mcp.resource() 注册路径以及 issue 中提到的 list_resources() 行为开始。比较所提议的运行时更新、callable 和 handler-return 方案,然后确定实现如何让客户端的 audience、priority 和 lastModified 注释保持最新。
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