get_hot_topics

Instructions

Fetch currently trending/hot topics from USCardForum.

This returns the most actively discussed topics right now, ranked by
engagement metrics like recent replies, views, and likes.

Use this to:
- See what the community is currently discussing
- Find breaking news or time-sensitive opportunities
- Discover popular ongoing discussions

Args:
    page: Page number for pagination (0-indexed). Use page=1 to get more topics.

Returns a list of TopicSummary objects with fields:
- id: Topic ID (use with get_topic_posts)
- title: Topic title
- posts_count: Total replies
- views: View count
- like_count: Total likes
- created_at: Creation timestamp
- last_posted_at: Last activity timestamp

Example response interpretation:
A topic with high views but low posts may be informational.
A topic with many recent posts is actively being discussed.

Implementation Reference

• src/uscardforum/server_tools/topics.py:12-47 (handler)

  Primary MCP tool handler for get_hot_topics. Uses @mcp.tool() decorator for automatic registration and schema definition. Delegates execution to DiscourseClient via get_client() singleton.

  @mcp.tool()
  def get_hot_topics(
      page: Annotated[
          int | None,
          Field(default=None, description="Page number for pagination (0-indexed, default: 0)"),
      ] = None,
  ) -> list[TopicSummary]:
      """
      Fetch currently trending/hot topics from USCardForum.
  
      This returns the most actively discussed topics right now, ranked by
      engagement metrics like recent replies, views, and likes.
  
      Use this to:
      - See what the community is currently discussing
      - Find breaking news or time-sensitive opportunities
      - Discover popular ongoing discussions
  
      Args:
          page: Page number for pagination (0-indexed). Use page=1 to get more topics.
  
      Returns a list of TopicSummary objects with fields:
      - id: Topic ID (use with get_topic_posts)
      - title: Topic title
      - posts_count: Total replies
      - views: View count
      - like_count: Total likes
      - created_at: Creation timestamp
      - last_posted_at: Last activity timestamp
  
      Example response interpretation:
      A topic with high views but low posts may be informational.
      A topic with many recent posts is actively being discussed.
      """
      return get_client().get_hot_topics(page=page)

• src/uscardforum/models/topics.py:10-25 (schema)

  Pydantic model defining the output schema (list[TopicSummary]) for the get_hot_topics tool.

  class TopicSummary(BaseModel):
      """Summary of a topic for list views (hot, new, top topics)."""
  
      id: int = Field(..., description="Unique topic identifier")
      title: str = Field(..., description="Topic title")
      posts_count: int = Field(0, description="Total number of posts")
      views: int = Field(0, description="Total view count")
      like_count: int = Field(0, description="Total likes on the topic")
      category_id: int | None = Field(None, description="Category identifier")
      category_name: str | None = Field(None, description="Category name")
      created_at: datetime | None = Field(None, description="When topic was created")
      last_posted_at: datetime | None = Field(None, description="Last activity time")
  
      class Config:
          extra = "ignore"

• src/uscardforum/server_core.py:136-168 (helper)

  Shared helper function providing singleton DiscourseClient instance, used by the tool handler. Handles client creation and optional auto-login.

  def get_client() -> DiscourseClient:
      """Get or create the Discourse client instance."""
      global _client, _login_attempted
  
      if _client is None:
          base_url = os.environ.get("USCARDFORUM_URL", "https://www.uscardforum.com")
          timeout = float(os.environ.get("USCARDFORUM_TIMEOUT", "15.0"))
          _client = DiscourseClient(base_url=base_url, timeout_seconds=timeout)
  
          # Auto-login if credentials are provided
          if not _login_attempted:
              _login_attempted = True
              username = os.environ.get("NITAN_USERNAME")
              password = os.environ.get("NITAN_PASSWORD")
  
              if username and password:
                  try:
                      result = _client.login(username, password)
                      if result.success:
                          print(f"[uscardforum] Auto-login successful as '{result.username}'")
                      elif result.requires_2fa:
                          print(
                              "[uscardforum] Auto-login failed: 2FA required. Use login() tool with second_factor_token."
                          )
                      else:
                          print(
                              f"[uscardforum] Auto-login failed: {result.error or 'Unknown error'}"
                          )
                  except Exception as e:  # pragma: no cover - logging side effect
                      print(f"[uscardforum] Auto-login error: {e}")
  
      return _client

• src/uscardforum/server_tools/__init__.py:25-25 (registration)

  Re-export of get_hot_topics from topics.py, ensuring the decorated tool is imported and registered when server_tools is imported.

  from .topics import get_hot_topics, get_new_topics, get_top_topics

• src/uscardforum/server.py:15-23 (registration)

  Explicit import of get_hot_topics in the main server entrypoint, triggering decorator-based registration in FastMCP.

  from uscardforum.server_tools import (
      analyze_user,
      bookmark_post,
      compare_cards,
      find_data_points,
      get_all_topic_posts,
      get_categories,
      get_current_session,
      get_hot_topics,