What types of financial information can OpenDart provide?

OpenDart includes detailed parsers for various OpenDart report types, allowing it to provide comprehensive fundamental data such as financial statements, disclosures, regular reports, material facts, ownership information, and more.

How does OpenDart integrate with Large Language Models (LLMs)?

OpenDart integrates with LLMs by providing an MCP server interface, built using FastMCP. This allows LLMs (like Gemini 3.0 Pro/Flash) to securely access real-world stock data and external services, enhancing their analytical capabilities.

Where is OpenDart designed to be deployed?

OpenDart is specifically designed for efficient and scalable deployment on Google Cloud Run. It leverages Google Cloud's serverless infrastructure for secure and high-performance operation.

What is OpenDart and its primary function?

OpenDart is a specialized tool designed to retrieve, crawl, and cache fundamental stock information directly from the OpenDart API. Its primary function is to provide this critical financial data to Large Language Models (LLMs) via a Model Context Protocol (MCP) server.

OpenDart

Name: OpenDart
Author: sayouzone

0•

Retrieves, crawls, and caches fundamental stock information from OpenDart for use with large language models.

The OpenDart server acts as a Model Context Protocol (MCP) server, designed to crawl, cache, and provide fundamental stock data from OpenDart. It empowers Large Language Models (LLMs), specifically integrating with Gemini 3.0 Pro and Flash, by offering external tool access to real-time and historical financial information. Built with FastMCP, the server offers a Pythonic and efficient way to integrate stock data access, featuring a comprehensive package structure with dedicated parsers for various OpenDart report types like financial statements, disclosures, and ownership information.

主な機能

010 GitHub stars

02Designed for deployment on Google Cloud Run

03Includes detailed parsers for various OpenDart report types (e.g., financial statements, disclosures)

04Crawls and caches fundamental stock information from OpenDart

05Provides an MCP server interface for Large Language Models (LLMs)

06Built using FastMCP for efficient server and client development

ユースケース

01Developing AI agents that require access to structured financial reports from OpenDart

02Building custom slash commands for Gemini CLI to query financial information

03Empowering LLMs with up-to-date fundamental Korean stock market data