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.
README
Korean Stock MCP
Python MCP server for Korean stocks with:
FinanceDataReaderfor listings, stock profile fields, and daily OHLCV- Naver chart API for
10-minuteintraday candles STDIOandHTTP/SSEtransports- local technical indicator calculation
Features
search_korean_stocksget_korean_stock_profileget_korean_stock_daily_historyget_korean_stock_intraday_10mget_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 launchdtemplate: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 launchdstarts the service throughdeploy/run_server.sh, which loadsshared/.envbefore executing Python
Notes
- Intraday
10-minutedata uses an unofficial Naver endpoint and may be delayed or subject to upstream schema changes. - Profile fields are limited to what
FinanceDataReaderexposes in listing datasets.
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.