Text Editor logo

Text Editor

Community
bhouston

An open source implementation of the Claude built-in text editor tool

Publisherbhouston
Repositorymcp-server-text-editor
LanguageTypeScript
Forks
6
Stars
36
Available tools
1
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Text Editor exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 1 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    36 stars and 6 forks from the linked repository.

Claude Text Editor MCP Server

npm version CI Status Test Coverage

An open-source implementation of the Claude built-in text editor tool as a Model Context Protocol (MCP) server. This package provides the same functionality as Claude's built-in text editor tool, allowing you to view, edit, and create text files through a standardized API.

Features

  • Identical API to Claude's Text Editor: Implements the exact same interface as Claude's built-in text editor tool
  • MCP Server Implementation: Follows the Model Context Protocol standard for AI tool integration
  • File Operations:
    • View file contents with optional line range specification
    • Create new files
    • Replace text in existing files
    • Insert text at specific line numbers
    • Undo previous edits

Supported Claude Text Editor Versions

This package implements an equivalent tool to the built-in Claude text editor tool versions:

  • text_editor_20241022 (Claude 3.5 Sonnet)
  • text_editor_20250124 (Claude 3.7 Sonnet)

But using the tool name 'text_editor' to avoid name conflicts with built-in Claude tools.

Installation

bash
# Install from npm
npm install mcp-server-text-editor

# Or with pnpm
pnpm add mcp-server-text-editor

Usage

Starting the Server

bash
# Using npx
npx -y mcp-server-text-editor

# Or if installed globally
mcp-server-text-editor

Configuring in Claude Desktop

json
{
  "mcpServers": {
    "textEditor": {
      "command": "npx",
      "args": ["-y", "mcp-server-text-editor"]
    }
  }
}

Tool Commands

View

View the contents of a file or directory.

json
{
  "command": "view",
  "path": "/path/to/file.js",
  "view_range": [1, 10] // Optional: Show lines 1-10 only
}

Create

Create a new file with the specified content.

json
{
  "command": "create",
  "path": "/path/to/file.js",
  "file_text": "console.log('Hello, world!');"
}

String Replace

Replace text in a file.

json
{
  "command": "str_replace",
  "path": "/path/to/file.js",
  "old_str": "console.log('Hello, world!');",
  "new_str": "console.log('Hello, Claude!');"
}

Insert

Insert text at a specific line.

json
{
  "command": "insert",
  "path": "/path/to/file.js",
  "insert_line": 5,
  "new_str": "// This line was inserted by Claude"
}

Undo Edit

Revert the last edit made to a file.

json
{
  "command": "undo_edit",
  "path": "/path/to/file.js"
}

Development

Prerequisites

  • Node.js 18+
  • pnpm

Setup

bash
# Clone the repository
git clone https://github.com/bhouston/mcp-server-text-editor.git
cd mcp-server-text-editor

# Install dependencies
pnpm install

# Build the project
pnpm build

Scripts

  • pnpm build: Build the TypeScript project
  • pnpm lint: Run ESLint with auto-fixing
  • pnpm format: Format code with Prettier
  • pnpm clean: Remove build artifacts
  • pnpm clean:all: Remove build artifacts and node_modules
  • pnpm test: Run tests
  • pnpm test:coverage: Run tests with coverage report

Testing

This project uses Vitest for testing.

To run the tests:

bash
# Run all tests
pnpm test

# Run tests with coverage report
pnpm test:coverage

The test coverage report will be generated in the coverage directory.

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "textEditor": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-text-editor"
      ]
    }
  }
}

Available Tools

  • text_editor

    View, create, and edit files with persistent state across command calls. This tool is identical with Claude's built in text editor tool called text_editor_20241022

Use Text Editor MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Text Editor is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Text Editor as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Text Editor MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "text-editor": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-text-editor"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Text Editor MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Text Editor MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Text Editor to help me with this task?
Text Editor
Sure. I read it.
Here is what I found using Text Editor.

Frequently asked questions

What is the Text Editor MCP server used for?

Text Editor is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Text Editor MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Text Editor with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Text Editor MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Text Editor connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Text Editor MCP to TypingMind?

Text Editor runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Text Editor MCP provide in TypingMind?

Text Editor exposes 1 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Text Editor MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Text Editor requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

Related MCP Servers

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇