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rhettlong

USCardForum MCP Server

by rhettlong

get_all_topic_posts

Fetch all posts from a USCardForum topic with automatic pagination, allowing control over post ranges and limits for efficient data retrieval.

Instructions

Fetch all posts from a topic with automatic pagination. Args: topic_id: The numeric topic ID include_raw: Include markdown source (default: False) start_post_number: First post to fetch (default: 1) end_post_number: Last post to fetch (optional, fetches to end if not set) max_posts: Maximum number of posts to return (optional safety limit) This automatically handles pagination to fetch multiple batches. IMPORTANT: For topics with many posts (>100), use max_posts to limit the response size. You can always fetch more with start_post_number. Use cases: - Fetch entire small topic: get_all_topic_posts(topic_id=123) - Fetch first 50 posts: get_all_topic_posts(topic_id=123, max_posts=50) - Fetch posts 51-100: get_all_topic_posts(topic_id=123, start_post_number=51, max_posts=50) - Fetch specific range: get_all_topic_posts(topic_id=123, start=10, end=30) Returns the same Post structure as get_topic_posts but for all matching posts. Pro tip: Use get_topic_info first to check post_count before deciding whether to fetch all or paginate manually.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topic_idYesThe numeric topic ID
include_rawNoInclude markdown source (default: False)
start_post_numberNoFirst post to fetch (default: 1)
end_post_numberNoLast post to fetch (optional, fetches to end if not set)
max_postsNoMaximum number of posts to return (optional safety limit)

Implementation Reference

  • Primary MCP tool handler for get_all_topic_posts. Decorated with @mcp.tool(), defines input/output schema using Annotated and Field, implements logic by delegating to DiscourseClient.get_all_topic_posts().
    @mcp.tool() def get_all_topic_posts( topic_id: Annotated[ int, Field(description="The numeric topic ID"), ], include_raw: Annotated[ bool, Field(default=False, description="Include markdown source (default: False)"), ] = False, start_post_number: Annotated[ int, Field(default=1, description="First post to fetch (default: 1)"), ] = 1, end_post_number: Annotated[ int | None, Field(default=None, description="Last post to fetch (optional, fetches to end if not set)"), ] = None, max_posts: Annotated[ int | None, Field(default=None, description="Maximum number of posts to return (optional safety limit)"), ] = None, ) -> list[Post]: """ Fetch all posts from a topic with automatic pagination. Args: topic_id: The numeric topic ID include_raw: Include markdown source (default: False) start_post_number: First post to fetch (default: 1) end_post_number: Last post to fetch (optional, fetches to end if not set) max_posts: Maximum number of posts to return (optional safety limit) This automatically handles pagination to fetch multiple batches. IMPORTANT: For topics with many posts (>100), use max_posts to limit the response size. You can always fetch more with start_post_number. Use cases: - Fetch entire small topic: get_all_topic_posts(topic_id=123) - Fetch first 50 posts: get_all_topic_posts(topic_id=123, max_posts=50) - Fetch posts 51-100: get_all_topic_posts(topic_id=123, start_post_number=51, max_posts=50) - Fetch specific range: get_all_topic_posts(topic_id=123, start=10, end=30) Returns the same Post structure as get_topic_posts but for all matching posts. Pro tip: Use get_topic_info first to check post_count before deciding whether to fetch all or paginate manually. """ return get_client().get_all_topic_posts( topic_id, include_raw=include_raw, start_post_number=start_post_number, end_post_number=end_post_number, max_posts=max_posts, )
  • Top-level import of all tools including get_all_topic_posts (line 20) in the main server entrypoint, which triggers auto-registration via FastMCP decorators.
    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, get_new_topics, get_notifications, get_top_topics, get_topic_info, get_topic_posts, get_user_actions, get_user_badges, get_user_followers, get_user_following, get_user_reactions, get_user_replies, get_user_summary, get_user_topics, list_users_with_badge, login, research_topic, resource_categories, resource_hot_topics, resource_new_topics, search_forum, subscribe_topic, )
  • DiscourseClient wrapper method get_all_topic_posts that delegates to internal _topics API, called by the MCP tool handler.
    def get_all_topic_posts( self, topic_id: int, *, include_raw: bool = False, start_post_number: int = 1, end_post_number: int | None = None, max_posts: int | None = None, ) -> list[Post]: """Fetch all posts in a topic with automatic pagination. Args: topic_id: Topic ID include_raw: Include raw markdown (default: False) start_post_number: Starting post number (default: 1) end_post_number: Optional ending post number max_posts: Optional maximum posts to fetch Returns: List of all matching posts """ return self._topics.get_all_topic_posts( topic_id, include_raw=include_raw, start_post_number=start_post_number, end_post_number=end_post_number, max_posts=max_posts, )
  • Core implementation of get_all_topic_posts in TopicsAPI class, performing automatic pagination by repeatedly calling get_topic_posts until conditions met.
    def get_all_topic_posts( self, topic_id: int, *, include_raw: bool = False, start_post_number: int = 1, end_post_number: int | None = None, max_posts: int | None = None, ) -> list[Post]: """Fetch all posts in a topic with automatic pagination. Args: topic_id: Topic ID include_raw: Include raw markdown (default: False) start_post_number: Starting post number (default: 1) end_post_number: Optional ending post number max_posts: Optional maximum posts to fetch Returns: List of all matching posts """ current = max(1, int(start_post_number)) collected: list[Post] = [] seen_numbers: set[int] = set() while True: if max_posts is not None and len(collected) >= int(max_posts): break batch = self.get_topic_posts( topic_id, post_number=current, include_raw=include_raw ) if not batch: break last_in_batch: int | None = None for post in batch: pn = post.post_number if pn not in seen_numbers: if end_post_number is not None and pn > int(end_post_number): last_in_batch = last_in_batch or pn continue seen_numbers.add(pn) collected.append(post) last_in_batch = pn if max_posts is not None and len(collected) >= int(max_posts): break if last_in_batch is None: break current = last_in_batch + 1 if end_post_number is not None and current > int(end_post_number): break collected.sort(key=lambda p: p.post_number) return collected

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