get_all_topic_posts
Fetch all posts from a USCardForum topic with automatic pagination, allowing retrieval of entire discussions or specific post ranges.
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
| Name | Required | Description | Default |
|---|---|---|---|
| topic_id | Yes | The numeric topic ID | |
| include_raw | No | Include markdown source (default: False) | |
| start_post_number | No | First post to fetch (default: 1) | |
| end_post_number | No | Last post to fetch (optional, fetches to end if not set) | |
| max_posts | No | Maximum number of posts to return (optional safety limit) |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- MCP tool handler decorated with @mcp.tool(). Defines input schema via Pydantic Field annotations and dispatches to the API client's get_all_topic_posts method for execution.
@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, ) - Core helper function in TopicsAPI that implements the pagination logic to fetch all (or range of) posts from the forum by repeatedly calling get_topic_posts.
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 - src/uscardforum/server_tools/__init__.py:56-63 (registration)Package-level import of the get_all_topic_posts tool (with other reading tools), making it available for re-export and registration.
from .topics import ( get_all_topic_posts, get_hot_topics, get_new_topics, get_top_topics, get_topic_info, get_topic_posts, ) - src/uscardforum/server.py:15-45 (registration)Main server entrypoint imports all tools including get_all_topic_posts, which triggers @mcp.tool() decorator registration when executed.
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, ) - Imports Pydantic models (Post for output type, etc.) used for schema validation in the tool's input/output types.
from uscardforum.models.topics import Post, TopicInfo, TopicSummary