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WSB Analyst MCP Server

WSB Analyst MCP Server

by ferdousbhai

WSB Analyst MCP Server

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A Model Context Protocol (MCP) server that provides real-time WallStreetBets data for analysis with Claude or other LLM clients.

Features

  • Fetch WallStreetBets Posts: Filter posts by score, comment count, and content type

  • Detailed Post Analysis: Extract comments, links, and metadata from posts

  • External Link Collection: Gather links being shared in WSB discussions

  • Analysis Templates: Ready-to-use prompt templates for market analysis

  • Progress Reporting: Real-time progress updates during data collection

  • MCP Integration: Seamless integration with Claude Desktop and other MCP clients

Related MCP server: MCP Reddit Server

Requirements

  • Python 3.12 or higher

  • Reddit API credentials

  • Claude Desktop or another MCP client

Installation

Installing via Smithery

To install WSB Analyst for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @ferdousbhai/wsb-analyst-mcp --client claude

Clone this repository or download the source files:

git clone https://github.com/ferdousbhai/wsb-analyst-mcp
cd wsb-analyst-mcp

Create a virtual environment and install dependencies:

# Using uv (recommended)
uv sync

Setting Up Reddit API Credentials

To use this server, you need to create a Reddit application to get API credentials:

  1. Log in to your Reddit account

  2. Navigate to https://www.reddit.com/prefs/apps

  3. Scroll down and click "create another app..." or "create an app..."

  4. Fill in the following details:

    • name: WSB Analyst MCP (or any name you prefer)

    • app type: select "script"

    • description: Optional description of your application

    • about url: Can be left blank

    • redirect uri: Use http://localhost:8000 (any valid URL works as we don't use OAuth)

  5. Click "create app"

  6. After creation, note down:

    • client_id: The string under the app name (appears right under "personal use script")

    • client_secret: The string labeled "secret"

Configuration for Claude Desktop

Open Claude Desktop's configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the following configuration (adjust paths as needed):

{
  "mcpServers": {
    "wsb-analyst": {
      "command": "uvx",
      "args": [
        "run",
        "wsb-analyst"
      ],
      "env": {
        "REDDIT_CLIENT_ID": "your_client_id_here",
        "REDDIT_CLIENT_SECRET": "your_client_secret_here"
      }
    }
  }
}

Restart Claude Desktop

Using with Claude Desktop

Once configured, you can interact with the WSB Analyst server through Claude:

  1. Open Claude Desktop

  2. You should see a hammer icon in the bottom right corner of the message input box

  3. Click the hammer to see available tools

  4. Access prompt templates via slash commands (e.g., /analyze_wsb_market)

Example queries:

  • "What are the top trending stocks on WallStreetBets today?"

  • "Analyze recent WallStreetBets posts and tell me about potential market opportunities"

  • "What external resources are WSB users sharing about AMD stock?"

Available Tools

find_top_posts

Fetch and filter WSB posts based on criteria.

Parameters:

  • min_score (default: 100): Minimum score (upvotes) required

  • min_comments (default: 10): Minimum number of comments required

  • limit (default: 10): Maximum number of posts to return

  • excluded_flairs (default: ["Meme", "Shitpost", "Gain", "Loss"]): List of post flairs to exclude.

fetch_post_details

Fetch detailed information about a specific WSB post including top comments.

Parameters:

  • post_id: Reddit post ID

fetch_batch_post_details

Fetches details for multiple posts efficiently.

fetch_detailed_wsb_posts

Fetch and filter WSB posts, then get detailed information including top comments and links for each.

Collects all external links from top posts.

Identifies and returns a list of stock tickers frequently mentioned or discussed in recent top WSB posts.

Prompt Templates

/analyze_wsb_market

Provides a template prompt to guide an LLM in performing a comprehensive market analysis using the available tools (fetch_detailed_wsb_posts, get_external_links). It instructs the LLM on the structure and focus of the analysis.

/find_market_movers

Creates a prompt focused on what's moving specific stocks or the overall market. This prompt guides the LLM to use tools like find_top_posts and fetch_post_details or fetch_batch_post_details.

Integrating with Firecrawl MCP Server

For enhanced analysis capabilities, especially when dealing with external links found in WSB posts, you can integrate this server with the Firecrawl MCP Server. This allows your LLM agent to not only identify links shared on WSB but also scrape and analyze the content of those linked pages.

License

MIT

Available Tools

6 tools
fetch_batch_post_detailsC
Fetch details for multiple posts efficiently.

Args:
    post_ids: List of Reddit post IDs

Returns:
    Dictionary with details for all requested posts

Inputs: post_ids (required).

fetch_detailed_wsb_postsB
Fetch and filter WSB posts, then get detailed information including top comments and links for each.

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 detailed data for the filtered posts.

Inputs: min_score, min_comments, limit, excluded_flairs.

fetch_post_detailsB
Fetch detailed information about a specific WSB post including top comments. Caches results for 5 minutes.

Args:
    post_id: Reddit post ID

Returns:
    Detailed post data including comments and extracted links

Inputs: post_id (required).

find_top_postsB
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

Inputs: min_score, min_comments, limit, excluded_flairs.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.2/5.0

    Scored across 6 tools

    Disambiguation2/5

    There is significant overlap between tools, particularly fetch_detailed_wsb_posts and find_top_posts which both fetch and filter WSB posts with identical parameters, causing confusion. Additionally, fetch_batch_post_details and fetch_post_details both retrieve post details, though one handles multiple IDs and the other a single ID, which could be consolidated into a single tool with an optional list parameter.

    Naming Consistency4/5

    Tool names follow a consistent snake_case pattern with clear verb_noun structures (e.g., fetch_post_details, get_external_links), making them readable and predictable. However, the naming is not perfectly consistent as some tools use 'fetch' while others use 'get' for similar actions, which is a minor deviation.

    Tool Count4/5

    With 6 tools, the count is reasonable for a server focused on WSB analysis, covering post fetching, filtering, link extraction, and ticker trending. It is slightly under-scoped as it could benefit from additional tools for deeper analysis or data manipulation, but the core functionality is adequately represented.

    Completeness3/5

    The toolset covers key aspects like fetching posts, extracting links, and getting trending tickers, but there are notable gaps. For example, there is no tool for updating or deleting data, and advanced features such as sentiment analysis or historical data tracking are missing, which limits comprehensive analysis workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

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