find_top_posts is the whole surface: you set the score and comment thresholds and it returns posts with their comments and the links inside them. Treat what comes back as what a forum is saying, not as a fact about a company — the filters control how loud the sample is, not how right it is.
A Python server that reads r/wallstreetbets through the Reddit API and hands the posts to the model, with prompt templates for market analysis.
- find_top_posts, filtered by score, comment count and content type
- Comments, links and metadata extracted from the posts it returns
- The external links being passed around in the discussion, collected separately
- Prompt templates for market analysis, ready to use
- Progress updates while a collection run is going
Python 3.12 or newer and Reddit API credentials — create a developer app of type "script" at reddit.com/prefs/apps; the redirect URI can be anything, since OAuth is not used. Install through Smithery, or clone and run uv sync.
One command plus a key — npx -y @smithery/cli install @ferdousbhai/wsb-analyst-mcp --client claude, then supply credentials