Korean Stock MCP

Korean Stock MCP

Provides access to Korean stock market data, including stock listings, daily historical records, and 10-minute intraday candles via FinanceDataReader and Naver APIs. It enables users to search for stocks, retrieve detailed profiles, and calculate technical indicators locally.

Category
Visit Server

README

Korean Stock MCP

Python MCP server for Korean stocks with:

  • FinanceDataReader for listings, stock profile fields, and daily OHLCV
  • Naver chart API for 10-minute intraday candles
  • STDIO and HTTP/SSE transports
  • local technical indicator calculation

Features

  • search_korean_stocks
  • get_korean_stock_profile
  • get_korean_stock_daily_history
  • get_korean_stock_intraday_10m
  • get_korean_stock_indicators

Requirements

  • Python 3.11+
  • FinanceDataReader

Install

python3 -m venv .venv
source .venv/bin/activate
pip install -e .[dev]

Run

STDIO

korean-stock-mcp

HTTP

MCP_TRANSPORT=http MCP_HOST=127.0.0.1 MCP_PORT=8000 korean-stock-mcp

Health endpoint:

GET /healthz

JSON-RPC endpoint:

POST /mcp

SSE endpoint:

GET /sse

Tool examples

Search

{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search_korean_stocks","arguments":{"query":"삼성전자"}}}

Daily history

{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"get_korean_stock_daily_history","arguments":{"symbol_or_name":"005930","limit_days":30}}}

Intraday 10-minute history

{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"get_korean_stock_intraday_10m","arguments":{"symbol_or_name":"252670","lookback_days":5}}}

Production deployment

The repository includes:

  • GitHub Actions CI workflow: .github/workflows/ci.yml
  • GitHub Actions deployment workflow for self-hosted runner label macmini: .github/workflows/deploy-macmini.yml
  • launchd template: deploy/launchd/com.ctk03272.mcp-korean-stock.plist

Production runtime expects:

  • MCP_TRANSPORT=http
  • host-local .env
  • deployment root under /Users/<runner-user>/services/mcp-korean-stock
  • launchd starts the service through deploy/run_server.sh, which loads shared/.env before executing Python

Notes

  • Intraday 10-minute data uses an unofficial Naver endpoint and may be delayed or subject to upstream schema changes.
  • Profile fields are limited to what FinanceDataReader exposes in listing datasets.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured