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.
@minhaj3
Basic information
No overview available yet
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
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.
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).
You can modify the logic in `mcp_calculator.py` to add additional metrics or customize the MCP calculation.
The server runs as an HTTP server on localhost (default port 6274) and is tested with the MCP Inspector.
Yes, the project is open-source under the MIT License.
🚀 The fast, Pythonic way to build MCP servers and clients.

Model Context Protocol Servers

Model Context Protocol Servers
Painless E2E Automation for Mobile and Web
Open-source MCP to use Blender with any LLM
Comments