Discover real-time WallStreetBets data analysis with MCP server features for market insights
The WSB Analyst MCP Server (WSBA-MS) provides real-time data access to WallStreetBets (WSB) posts and related activities, enabling AI applications like Claude Desktop, Continue, Cursor, and others to analyze market trends and sentiments. This server acts as a bridge between the rich data generated on WSB forums and various LLM clients via the Model Context Protocol (MCP). By leveraging WSBA-MS, developers can integrate direct access to real-time WallStreetBets discussions into their AI workflows.
WSBA-MS offers several key features that enhance its utility as an MCP server:
These features enable advanced AI workflows by offering a structured and flexible data source directly through MCP.
graph TD
A[AI Application] -->|MCP Client| B[MCP Protocol]
B --> C[MCP Server]
C --> D[Data Source/Tool]
style A fill:#e1f5fe
style C fill:#f3e5f5
style D fill:#e8f5e8
graph TD
W[WSB Analyst MCP Server] --> F[Fetch_WSB_Posts]
F --> D[Data_Transformation]
D --> E[Persisted_Data_Store]
E --> A[AI_Application]
To set up and use the WSBA-MS, follow these steps:
Clone Repository:
git clone https://github.com/ferdousbhai/wsb-analyst-mcp
cd wsb-analyst-mcp
Setup Virtual Environment:
uv sync
Configure Reddit API Credentials:
https://www.reddit.com/prefs/apps
, create a new application.Configure MCP Client for WSBA-MS:
claude_desktop_config.json
).{
"mcpServers": {
"wsb-analyst": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/wsb-analyst-mcp",
"run",
"mcp_wsb_server.py"
],
"env": {
"REDDIT_CLIENT_ID": "your_client_id_here",
"REDDIT_CLIENT_SECRET": "your_client_secret_here"
}
}
}
}
Market Trend Analysis:
# Example: Fetching top 5 posts with more than 200 upvotes and comments
find_top_posts(min_score=200, min_comments=100, limit=5)
External Resource Analysis:
get_external_links
function helps extract external links from WSB discussions for further analysis.# Example: Collecting all external links from top 3 posts
get_external_links(fetch_detailed_wsb_posts(limit=3))
WSBA-MS is designed to be compatible with various MCP clients:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
WSBA-MS is optimized for real-time data processing and seamless integration with MCP clients. It ensures that WSB posts are efficiently fetched, analyzed, and made available to AI applications in a structured format.
Ensure environment variables like REDDIT_CLIENT_ID
, REDDIT_CLIENT_SECRET
are correctly set for secure API interaction.
export REDDIT_CLIENT_ID="your_client_id_here"
export REDDIT_CLIENT_SECRET="your_client_secret_here"
Developers can configure additional security measures such as rate limits and secure API keys to enhance data protection.
claude_desktop_config.json
, you can leverage additional data sources for more comprehensive analyses.Contributions are welcome! To contribute:
Explore more about Model Context Protocol and its growing ecosystem at ModelContextProtocol.com.
For further reading on AI applications integration, visit the official documentation of Claude Desktop and other compatible clients like Continue and Cursor.
Learn to connect to MCP servers over HTTP with Python SDK using SSE for efficient protocol communication
Python MCP client for testing servers avoid message limits and customize with API key
Next-generation MCP server enhances documentation analysis with AI-powered neural processing and multi-language support
Discover easy deployment and management of MCP servers with Glutamate platform for Windows Linux Mac
Explore community contributions to MCP including clients, servers, and projects for seamless integration
Learn how to use MCProto Ruby gem to create and chain MCP servers for custom solutions