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Weibo MCP Server

from typing import Union from pydantic import BaseModel, Field class UserProfile(BaseModel): """ Data model for a Weibo user's profile information. Attributes: id (int): User's unique identifier screen_name (str): User's display name profile_image_url (str): URL to user's profile image profile_url (str): URL to user's Weibo profile page description (str): User's profile description follow_count (int): Number of users the user is following followers_count (str): Number of followers (as string) avatar_hd (str): URL to user's high-resolution avatar image verified (bool): Whether the user is verified verified_reason (str): Reason for verification gender (str): User's gender """ id: int = Field() screen_name: str = Field() profile_image_url: str = Field() profile_url: str = Field() description: str = Field() follow_count: int = Field() followers_count: str = Field() avatar_hd: str = Field() verified: bool = Field() verified_reason: str = Field() gender: str = Field() class FeedItem(BaseModel): """ Data model for a single Weibo feed item. Attributes: id (int): Unique identifier for the feed item text (str): Content of the feed item source (str): Source of the feed (e.g., app or web) created_at (str): Timestamp when the feed was created user (Union[dict, UserProfile]): User information associated with the feed comments_count (int): Number of comments on the feed attitudes_count (int): Number of likes on the feed reposts_count (int): Number of reposts of the feed raw_text (str): Raw text content of the feed region_name (str): Region information pics (list[dict]): List of pictures in the feed videos (dict): Video information in the feed """ id: int = Field() text: str = Field() source: str = Field() created_at: str = Field() user: Union[dict, UserProfile] = Field() comments_count: int = Field() attitudes_count: int = Field() reposts_count: int = Field() raw_text: str = Field() region_name: str = Field() pics: list[dict] = Field() videos: dict = Field() class PagedFeeds(BaseModel): """ Data model for paginated Weibo feeds. Attributes: SinceId (Union[int, str]): ID of the last feed for pagination Feeds (list[FeedItem]): List of Weibo feed entries """ SinceId: Union[int, str] = Field() Feeds: list[FeedItem] = Field() class TrendingItem(BaseModel): """ Data model for a single hot search item on Weibo. Attributes: id (int): Rank of the search item trending (int): Popularity value of the hot search item description (str): The description of hot search item url (str): URL to the hot search item """ id: int = Field() trending: int = Field() description: str = Field() url: str class CommentItem(BaseModel): """ Data model for a single comment on a Weibo post. Attributes: id (int): Unique identifier for the comment text (str): Content of the comment created_at (str): Timestamp when the comment was created user (UserProfile): User information associated with the comment like_count (int): Number of likes on the comment reply_count (int): Number of replies to the comment """ id: int = Field() text: str = Field() created_at: str = Field() source: str = Field() user: UserProfile = Field() reply_id: Union[int, None] = Field(default=None) reply_text: str = Field(default="")

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