# Textwell

> Use this tool when you need to efficiently write text to the Textwell application on macOS, solving tasks such as note-taking and content creation. It provides a simple interface with three modes: replace, insert, and append, making it easy for AI models to interact with Textwell. Ideal for integrating text manipulation into AI-driven workflows, this tool enables assistants to write to Textwell in various ways with a lightweight approach.

Canonical page: https://skillsregistry.net/skills/worldnine-textwell-write-tool  
JSON: https://api.skillsregistry.net/v1/skills/worldnine-textwell-write-tool

## Description

This Textwell Write Tool MCP server, developed for macOS, provides a specialized interface for writing text to the Textwell application. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a single 'write-text' tool with three modes: replace, insert, and append. The implementation focuses on simplicity and efficiency, making it easy for AI models to interact with Textwell without deep knowledge of the application. It's particularly useful for tasks like note-taking, content creation, or integrating text manipulation into AI-driven workflows on macOS, enabling assistants to write to Textwell in various ways while maintaining a lightweight, focused approach.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/worldnine-textwell-write-tool)
- **Repository:** <https://github.com/worldnine/textwell-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "worldnine-textwell-write-tool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/worldnine-textwell-write-tool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/worldnine-textwell-write-tool/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt