MCP Server Demo: Real-time Proofreading & Auto-correction for Japanese Tech Docs

Textlint MCP Example

A demo project for the textlint MCP server, demonstrating real-time proofreading and automatic correction functions for Japanese technical documents.

Education and learning tools Developer tools #Text Check #Automatic Correction #Japanese Proofreading #Technical Documents

rating : 2 points

downloads : 5.8K

update time : 2025-07-25

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What is textlint MCP Server?

textlint is an extensible linter for natural language processing, and this MCP server provides its functions as an API. It mainly performs quality checks and automatic correction suggestions for Japanese technical documents.

How to use textlint MCP Server?

It can be easily used via the VSCode extension or API. When you send a text, it will return grammar checks and improvement suggestions.

Application Scenarios

It is useful in all scenarios where accurate Japanese expressions are required, such as creating technical documents, writing blogs, and creating educational materials.

Main Features

Japanese Technical Document Check

Automatically detect Japanese-specific problems such as consecutive use of particles and redundant expressions

Real-time Proofreading

Provide immediate feedback during writing

Automatic Correction Suggestions

Present specific correction suggestions for detected problems

Advantages

Automatically improve the quality of technical documents

An interface that can be easily used by non-developers

Open source and customizable

Limitations

There are cases where full automatic correction is impossible

There is a possibility of false detection in documents with many technical terms

Some technical knowledge is required for initial setup

How to Use

Environment Preparation

Set up the Node.js environment

Project Startup

Open the project in VSCode and enable Copilot Chat

Text Check

Specify the text to be checked and execute

Usage Examples

Proofreading of Technical Documents

Improve the quality of JavaScript explanation documents

Check of Blog Articles

Pre-check of technical blog articles

Frequently Asked Questions

Can it be used for English documents?

Does it work locally?

Related Resources

Official GitHub Repository

Source code of the demo project

textlint Official Website

Basic information and documentation of textlint

🚀 textlint MCP Server Demo Project

This project serves as a demonstration of the textlint's MCP (Model Context Protocol) server. It showcases how textlint, an extensible linter for natural language, can be used to enhance the quality of Japanese technical documents.

🚀 Quick Start

Prerequisites

Ensure you have git and npm installed on your system.
You should have Visual Studio Code (VSCode) installed, along with Copilot Chat enabled.

Steps

Clone this repository to your local machine:

git clone https://github.com/azu/textlint-mcp-example.git
cd textlint-mcp-example

Install the necessary dependencies:
```
npm ci
```
Open the project in VSCode.
Check if the "textlint MCP Server" is running in Copilot Chat.
Type in Copilot Chat: "Please check and correct the content of README.md using textlint MCP."

✨ Features

Japanese Technical Document Checking: Validate the quality of Japanese technical documents against predefined rules.
Real - time Text Proofreading: Get instant feedback on your writing as you type.
Automatic Correction Suggestions: Receive suggestions for fixing common writing issues.

💻 Usage Examples

Sample Texts

Here are some sample texts that are likely to trigger textlint rules:

Example of Technical Documents

JavaScript is a programming language that runs in web browsers. By using JavaScript, it is possible to add dynamic functionality to web pages.

Recently, with the Node.js runtime environment, JavaScript can also be used on the server - side. This has the advantage of allowing the same language to be used for both the front - end and back - end.

Samples of Common Problems

Consecutive Particles: With this feature, users can easily configure the application.
Redundant Expressions: This system can provide very useful features for users.
Inappropriate Honorifics: By using this feature, you can improve work efficiency.
Long Sentences: By using this library, developers can easily build complex applications. Moreover, since many useful features are provided, development time can be significantly reduced, and the quality of the code can also be expected to improve.