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  1. Home
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  3. Wsb Analyst MCP
Wsb Analyst MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 5:31:39 PM

Wsb Analyst MCP

User RatingsBe the first to rate and review this MCP server!
View Repository30 GitHub StarsTotal stargazers on GitHub for the source repository (30 stars).Visit Website
redditwallstreetbetsfinancemarket-analysis

Analyzes WallStreetBets posts, comments, links, and frequently mentioned stock tickers through MCP tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "ferdousbhai-wsb-analyst-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (6) Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Overview

ferdousbhai/wsb-analyst-mcp MCP server brings WallStreetBets data into Claude and other MCP clients for analysis. It uses Reddit API credentials to fetch, filter, and enrich posts with comments, metadata, external links, and ticker mentions. Reach for it when an agent needs to inspect recent WSB discussions, identify trending tickers, or collect resources shared by the community. It also provides prompt templates for market-focused analysis workflows.

Use cases

β€’Find high-engagement WallStreetBets posts while excluding meme or gain/loss flairs
β€’Analyze top comments and links from selected Reddit posts
β€’Identify frequently mentioned stock tickers in recent WSB discussions
β€’Collect external resources shared in WallStreetBets posts

Key features

β€’Filters WallStreetBets posts by score, comments, limit, and flair
β€’Fetches individual or batched post details
β€’Collects top comments and external links
β€’Identifies frequently mentioned stock tickers
β€’Provides market-analysis prompt templates
β€’Reports progress during data collection

Capabilities & Tool Schemas (6) ~134 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Wsb Analyst MCP.

find_top_posts

Fetch and filter WSB posts based on criteria.

fetch_post_details

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

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.

get_external_links

Collects all external links from top posts.

get_trending_tickers

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

How Wsb Analyst MCP works

What ferdousbhai/wsb-analyst-mcp MCP server does

ferdousbhai/wsb-analyst-mcp MCP server exposes WallStreetBets data through the Model Context Protocol. It is intended for agents that need to inspect recent posts from the WallStreetBets subreddit and use that material as input for analysis. The server can filter posts using engagement criteria and exclude selected post flairs, then return additional context such as top comments, metadata, and links.

The project also includes prompt templates for market-analysis workflows. These templates guide an MCP client toward tasks such as reviewing recent WSB discussions or investigating what may be moving a particular stock or the broader market.

How it works

The server connects to Reddit using an application created in the user's Reddit account. The README specifies a script-type Reddit application and requires its client ID and client secret. OAuth is not used; a redirect URI is still entered when creating the Reddit application, but the server does not use OAuth for access.

After the server is configured in an MCP client, the client can call tools to retrieve posts and related information. A typical workflow starts by finding high-engagement posts, then retrieving individual or batched details. A combined tool can perform filtering and detailed retrieval in one operation. Other workflows collect external links or identify stock tickers frequently discussed in recent top posts.

Setup and configuration

The documented requirements are Python 3.12 or newer, Reddit API credentials, and Claude Desktop or another MCP-compatible client. The repository can be cloned and its dependencies installed with uv sync.

For Claude Desktop, the README shows a local uvx configuration using run and wsb-analyst, with these environment variables:

  • REDDIT_CLIENT_ID: the Reddit application's client ID.
  • REDDIT_CLIENT_SECRET: the Reddit application's client secret.

The configuration file is located under the Claude application-support directory on macOS and under %APPDATA%\\Claude on Windows. Claude Desktop must be restarted after the MCP server entry is added. The repository also documents installation through Smithery, but that is an installer path rather than the server's own runtime command.

Tools and capabilities

Available MCP tools include:

  • find_top_posts, which filters posts by minimum score, minimum comment count, result limit, and excluded flairs. The documented defaults are 100 score, 10 comments, a limit of 10, and exclusions for Meme, Shitpost, Gain, and Loss.
  • fetch_post_details, which accepts a Reddit post ID and returns detailed post information including top comments.
  • fetch_batch_post_details, which retrieves details for multiple posts.
  • fetch_detailed_wsb_posts, which combines post filtering with detailed results, top comments, and links.
  • get_external_links, which collects external links from top posts.
  • get_trending_tickers, which returns stock tickers frequently mentioned or discussed in recent top posts.

The server reports progress during data collection and exposes prompt templates named /analyze_wsb_market and /find_market_movers.

Limitations and notes

Results depend on Reddit API access and the configured filtering criteria. The tools analyze WallStreetBets content; they do not provide an independent source of financial research or validate claims made in posts. External pages linked from WSB are collected but are not automatically scraped by this server. The README suggests pairing it with Firecrawl MCP when linked-page scraping and analysis are needed. The project is licensed under MIT.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
30
Stargazers on the source repository.
Last commit
11mo ago
Most recent push to the default branch.
Tools exposed
6
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Wsb Analyst MCP

The README shows cloning the repository, entering its directory, and running `uv sync`. It also documents a Claude Desktop runtime configuration using `uvx run wsb-analyst`.

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
AuthAPI key
LicenseMIT
ClientsClaude Desktop
Last updatedSep 7, 2026
11/11 checks healthy over the last 32d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars30
GitHub Star CountTotal stargazers on GitHub representing community popularity (30 stars).
Last commit11mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 21, 2025
51Quality signal: Good Β· 51/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 19d ago via OSV.dev Β· @smithery/cli (npm)

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