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MCP Server for Screener.in

@minhaj3

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

minhaj3

关于 MCP Server for Screener.in

暂无概览

MCP Server for Screener.in 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

MCP Server for Screener.in 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Server for Screener.in?

The MCP Server for Screener.in is an open-source server that fetches financial data from screener.in and calculates the Market Capitalization to Profit (MCP) ratio for listed companies. It is designed for developers, analysts, and financial enthusiasts who need customizable financial data analysis and technical trading tools.

How to use MCP Server for Screener.in?

Clone the repository, set up a Python virtual environment, install dependencies, and create a .env file with your screener.in CSRF token, session ID, and middleware token. Run the server using mcp dev server.py and access it at http://localhost:6274. Use the GET /mcp endpoint with a symbol parameter (e.g., ?symbol=RELIANCE) to fetch the MCP ratio and market cap/profit data.

Features of MCP Server for Screener.in

  • Fetches financial data from screener.in.
  • Calculates the Market Capitalization to Profit (MCP) ratio.
  • Provides Moving Average (MA) analysis and signals.
  • Computes Relative Strength Index (RSI).
  • Generates actionable trade recommendations.
  • Creates swing trading and intraday strategy prompts.
  • Supports ticker analysis and comparison.

Use cases of MCP Server for Screener.in

  • Evaluate a company's valuation relative to its profitability.
  • Generate buy/sell signals using MA and RSI.
  • Build custom swing trading or intraday strategies.
  • Compare multiple stocks to identify the best trading opportunity.

常见问题

1

What is the MCP ratio?

The MCP (Market Capitalization to Profit) ratio is a metric that evaluates a company's valuation relative to its profitability, calculated as market capitalization divided by profit.

2

What are the runtime requirements?

Python 3.8+, MCP Inspector CLI tool, and a screener.in middleware token (CSRF token, session ID, and middleware token stored in a `.env` file).

3

How can I customize the server?

You can modify the logic in `mcp_calculator.py` to add additional metrics or customize the MCP calculation.

4

What transport does the server use?

The server runs as an HTTP server on localhost (default port 6274) and is tested with the MCP Inspector.

5

Is the server free to use?

Yes, the project is open-source under the MIT License.

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