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WSB Analyst MCP Server

by ferdousbhai
GitHub
Python
MIT License
1
  • Apple
OverviewInspectNewSchemaRelated ServersReviewsScore
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find_top_posts

Fetch and filter WallStreetBets posts by upvotes, comments, and excluded flairs. Returns a dictionary of top posts for market analysis. Caches results for 5 minutes.

Instructions

Fetch and filter WSB posts based on criteria. Caches results for 5 minutes. Args: min_score: Minimum score (upvotes) required min_comments: Minimum number of comments required limit: Maximum number of posts to return excluded_flairs: List of post flairs to exclude. Defaults to ["Meme", "Shitpost", "Gain", "Loss"]. Returns: A dictionary with filtered posts data

Input Schema

NameRequiredDescriptionDefault
excluded_flairsNo
limitNo
min_commentsNo
min_scoreNo

Input Schema (JSON Schema)

{ "properties": { "excluded_flairs": { "default": [ "Meme", "Shitpost", "Gain", "Loss" ], "items": { "type": "string" }, "title": "Excluded Flairs", "type": "array" }, "limit": { "default": 10, "title": "Limit", "type": "integer" }, "min_comments": { "default": 10, "title": "Min Comments", "type": "integer" }, "min_score": { "default": 100, "title": "Min Score", "type": "integer" } }, "title": "find_top_postsArguments", "type": "object" }

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