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
| 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) |
Implementation Reference
- MCP tool handler for 'get_all_topic_posts'. Defines input schema with Annotated Fields and delegates execution to the DiscourseClient via get_client().
@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, ) - src/uscardforum/server.py:15-85 (registration)Imports the get_all_topic_posts tool (line 20) among other MCP tools from server_tools. Importing registers the tool via its @mcp.tool() decorator before running the MCP server.
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, ) __all__ = [ "MCP_HOST", "MCP_PORT", "MCP_TRANSPORT", "NITAN_TOKEN", "SERVER_INSTRUCTIONS", "get_client", "main", "mcp", "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", "resource_categories", "resource_hot_topics", "resource_new_topics", "search_forum", "subscribe_topic", "research_topic", ] - Core pagination logic and API implementation called by the client method. Defines the parameter schema matching the tool and returns list[Post], providing the effective input/output structure.
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 - Global helper function get_client() used by the tool handler to obtain the DiscourseClient instance for API calls.
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