emceeKim

emceeKim / korea-finance-mcp

Public

Korea's first legally-safe (Capital Markets Act compliant) finance MCP. 15 tools (ECOS · Real Estate · DART · KRX) + 2 Korea-unique synergy tools.

korea-finance-mcp-divine-hillside-8872.fly.devhealthz anthropic bok claude dart ecos
13
4
89% credibility
Found May 29, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This project is a financial data assistant that connects to Korean public databases. It lets you look up economic indicators like interest rates and inflation, real estate transaction prices, and stock market data. The tool is designed to be legally safe and clearly shows where every piece of information comes from. It runs as a bridge between AI assistants and official Korean government data sources.

How It Works

1
💡 You discover a Korean finance tool

You hear about a tool that can look up Korean economic data, real estate prices, and stock information all in one place.

2
🔗 You connect it to your AI assistant

You paste a web address into your AI assistant's settings, and it automatically learns how to use 15 different data tools.

3
📊 You ask about the Korean interest rate

You type a question like 'What's Korea's current interest rate?' and get an instant answer with the source and date.

4
🏠 You check apartment prices in Seoul

You ask about apartment prices in your neighborhood, and the tool pulls real transaction data from the government.

5
📈 You discover surprising connections

You ask how stock prices and real estate prices move together, and the tool shows you correlations you never expected.

6
📋 You get company financial reports

You look up a company's official disclosures and financial statements directly from public records.

✅ You make informed decisions with confidence

Everything you see comes with clear sources and dates, so you always know where the information comes from.

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Star Growth

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AI-Generated Review

What is korea-finance-mcp?

korea-finance-mcp is a Model Context Protocol server that gives AI assistants live access to Korean financial data. Built in TypeScript, it exposes 15 tools that pull from five official Korean government sources: Bank of Korea ECOS, Ministry of Land real estate transactions, Korea Real Estate Service, DART corporate disclosures, and KRX stock prices. Instead of just wrapping individual APIs, it also includes two "synergy" tools that correlate data across sources -- for example, showing how macro indicators relate to real estate prices or stock performance. The project runs on Fly.io with both local stdio and remote HTTP transport options.

Why is it gaining traction?

The standout feature is its legal compliance architecture. The developer has explicitly locked out anything that could constitute investment advice under Korea's Capital Markets Act -- no price predictions, no stock recommendations, no portfolio management. This isn't just a disclaimer; the code statically blocks 16 tools at CI level and documents 13 more in documentation. For developers building B2B tools in regulated markets, this is a genuine differentiator. The hallucination prevention is also serious: responses include mandatory source citations, data timestamps, and static dictionaries that prevent the model from inventing indicator codes or region names. The synergy tools are genuinely hard to replicate because they require access to Korea-specific data sources that foreign MCPs structurally cannot reach.

Who should use this?

Developers building Korean market analysis tools for AI assistants will find the most value. Compliance teams at fintech companies should examine the Capital Markets Act implementation -- it's the most thorough legal boundary enforcement I've seen in an open-source finance MCP. Data analysts working with Korean macro indicators will appreciate the ECOS integration with its 60,000+ time series. One-person projects and small teams benefit most from the pre-built correlation tools, which would otherwise require significant API research to replicate. Early-stage projects should note the skeleton stock dictionaries and plan to populate them before production use.

Verdict

korea-finance-mcp solves a real problem -- accessing Korean financial data from AI assistants -- with unusual rigor around legal compliance and hallucination prevention. The credibility score of 0.8999999761581421% reflects the project's early stage: 13 stars, skeleton stock dictionaries, and a one-person operation. The documentation is thorough and the architecture decisions are sound, but production readiness requires completing the stock data dictionaries and real-world traffic testing. Worth evaluating for Korean market projects, but budget time for the setup phase.

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