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MCP Korean Spell Checker

MCP Server

Real-time Korean spell and grammar correction for writers

Stale(65)
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Updated 19 days ago

About

A Model Context Protocol server that integrates with MCP clients to provide accurate Korean spell and grammar checking, leveraging Naver’s correction engine for reliable text editing.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

mcp-korean-spell result example in cursor chat

Overview

is a Model Context Protocol (MCP) server that brings automated Korean spell‑checking into AI‑assisted workflows. By exposing a single, well‑defined tool——the server allows assistants such as Claude to correct spelling and grammar errors in Korean text on demand, without requiring the user to leave their writing environment.

The server solves a common pain point for Korean‑language content creators: the lack of lightweight, API‑style spell checkers that can be invoked directly from an AI assistant. Traditional solutions often involve web services, desktop applications, or manual copy‑paste steps. With , a developer can embed the spell‑checking capability as an inline tool, letting the assistant analyze drafts and suggest fixes in real time. This streamlines editing cycles, reduces context switching, and ensures consistent language quality across documents.

Key capabilities include:

  • Accurate error detection based on the Naver Korean spell checker, covering both orthographic and grammatical mistakes.
  • Automatic correction that returns the corrected text along with explanations, enabling transparent editing decisions.
  • A simple tool interface () that accepts raw Korean strings and outputs a cleaned version, making integration into existing MCP clients straightforward.

Typical use cases span academic writing, blog content creation, customer support scripts, and any scenario where Korean text must meet high‑quality standards. Developers can incorporate the tool into chat‑based editors, document processors, or even automated content pipelines that generate Korean subtitles or translations.

Because the server operates over MCP, it fits naturally into AI‑centric workflows. An assistant can prompt the user for text, invoke , and then present the corrected version—all within a single conversational turn. The modular nature of MCP also means that developers can swap out or extend the spell checker without touching the client code, ensuring long‑term maintainability and scalability.