USCardForum MCP Server

Instructions

Implementation Reference

• src/uscardforum/server_tools/topics.py:82-118 (handler)

  MCP tool handler for 'get_top_topics'. Defines input schema with Pydantic Annotated Fields and comprehensive docstring. Executes core logic by delegating to the DiscourseClient implementation.
  @mcp.tool() def get_top_topics( period: Annotated[ str, Field( default="monthly", description="Time window for ranking: 'daily', 'weekly', 'monthly' (default), 'quarterly', or 'yearly'", ), ] = "monthly", page: Annotated[ int | None, Field(default=None, description="Page number for pagination (0-indexed, default: 0)"), ] = None, ) -> list[TopicSummary]: """ Fetch top-performing topics for a specific time period. Args: period: Time window for ranking. Must be one of: - "daily": Top topics from today - "weekly": Top topics this week - "monthly": Top topics this month (default) - "quarterly": Top topics this quarter - "yearly": Top topics this year page: Page number for pagination (0-indexed). Use page=1 to get more topics. Use this to: - Find the most valuable discussions in a time range - Research historically important threads - Identify evergreen popular content Returns TopicSummary objects sorted by engagement score. Example: Use "yearly" to find the most impactful discussions, or "daily" to see what's trending today. """ return get_client().get_top_topics(period=period, page=page)
• src/uscardforum/models/topics.py:10-25 (schema)

  Pydantic model defining the output structure for each topic in the list returned by get_top_topics.
  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_tools/__init__.py:25-26 (registration)

  Explicit import of the get_top_topics tool from topics.py into the server_tools __init__, making it available for re-export and MCP server registration.
  from .topics import get_hot_topics, get_new_topics, get_top_topics from .search import search_forum
• src/uscardforum/api/topics.py:66-92 (helper)

  Low-level API implementation in TopicsAPI that makes HTTP request to /top.json and parses JSON response into TopicSummary objects.
  def get_top_topics( self, period: str = "monthly", *, page: int | None = None ) -> list[TopicSummary]: """Fetch top topics for a time period. Args: period: One of 'daily', 'weekly', 'monthly', 'quarterly', 'yearly' page: Page number for pagination (0-indexed, default: 0) Returns: List of top topic summaries """ allowed = {"daily", "weekly", "monthly", "quarterly", "yearly"} if period not in allowed: raise ValueError(f"period must be one of {sorted(list(allowed))}") params: dict[str, Any] = {"period": period} if page is not None: params["page"] = int(page) payload = self._get( "/top.json", params=params, headers={"Accept": "application/json, text/plain, */*"}, ) topics = payload.get("topic_list", {}).get("topics", []) return [TopicSummary(**t) for t in topics]
• src/uscardforum/client.py:185-198 (helper)

  Client wrapper that calls the API layer and enriches results with category names.
  def get_top_topics( self, period: str = "monthly", *, page: int | None = None ) -> list[TopicSummary]: """Fetch top topics for a time period. Args: period: One of 'daily', 'weekly', 'monthly', 'quarterly', 'yearly' page: Page number for pagination (0-indexed, default: 0) Returns: List of top topic summaries """ topics = self._topics.get_top_topics(period=period, page=page) return self._enrich_with_categories(topics)