StockScreen MCP Server is a Model Context Protocol (MCP) server that provides comprehensive stock screening capabilities through Yahoo Finance. It enables Large Language Models (LLMs) to screen stocks based on technical, fundamental, and options criteria, with support for watchlist management and result storage.
StockScreen MCP Server allows users to filter stocks using advanced technical, fundamental, and options analysis tools. It supports watchlist management, saves screening results, and integrates seamlessly with Claude Desktop via the MCP protocol, empowering traders and investors with actionable insights from real-time data.
Traders, investors, financial analysts, and developers working with LLMs like Anthropic’s Claude can benefit from StockScreen MCP Server. It is particularly useful for those who need robust stock screening functionalities combined with customizability and automation.
StockScreen MCP Server can be installed locally or integrated into an existing development environment. It requires Python 3.12+ and works as part of the Claude Desktop setup by adding its configuration to the `claude-desktop-config.json` file.
You should use StockScreen MCP Server when you need to perform detailed stock screenings, manage watchlists, or store screening results for later analysis. It's ideal for both daily trading activities and long-term investment research.
To install StockScreen MCP Server, clone the repository using `git clone https://github.com/twolven/mcp-stockscreen.git`, navigate to the directory, and install dependencies with `pip install -r requirements.txt`. Then configure it in your `claude-desktop-config.json` file under the `mcpServers` section.
Key features include technical analysis screening (price, volume, RSI, moving averages), fundamental screening (market cap, P/E ratio, dividends), options screening (implied volatility, open interest), watchlist management, and result storage.
Yes, StockScreen MCP Server supports custom screening where you can combine technical, fundamental, options, and news criteria into a single query for more refined results.
Yes, data is sourced from Yahoo Finance, which may have delays. Additionally, rate limits apply based on Yahoo Finance API restrictions, and some metrics might not always be available depending on market conditions.
Yes, StockScreen MCP Server is licensed under the MIT License, meaning it is open-source and free to use, modify, and distribute.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.