MCP Server

MCP server for stock screening — technical, fundamental, options, news screening, watchlists and dividend rankings. That is what the mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

A Model Context Protocol (MCP) server providing comprehensive stock screening capabilities through Yahoo Finance. Enables LLMs to screen stocks based on technical, fundamental, and options criteria, with support for watchlist management and result storage.

The tools it exposes

The server publishes 4 tools. What each one is for:

• Technical — Price, volume, RSI, moving averages, ATR
• Fundamental — Market cap, P/E, dividends, growth
• Options — IV, volume, earnings dates
• Custom — Combine multiple criteria types

Getting it running

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

What it needs from you

• Python 3.12+ - MCP Server - yfinance - pandas - numpy - asyncio

How it compares

Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. MCP's toolset — Technical, Fundamental, Options and 1 more — is a fair guide to whether it matches your workflow.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Things to watch

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.