# Inked (Writing Assistant)

> Use this tool when you need to generate and manage long-form content, such as novels or reports, and want to streamline your drafting and revision process. It solves problems like content organization, version control, and formatting, providing outputs in Markdown and plain text. Ideal for novelists, report writers, and AI assistants, Inked simplifies content development through intuitive conversation-based workflows.

Canonical page: https://skillsregistry.net/skills/frgmt0-inked  
JSON: https://api.skillsregistry.net/v1/skills/frgmt0-inked

## Description

This Inked MCP server, developed by the Model Context Protocol team, provides tools for managing and generating long-form content through drafts. Built with TypeScript and leveraging SQLite or PostgreSQL for storage, it offers features like draft versioning, chapter organization, and multiple output formats including Markdown and plain text. The implementation focuses on intuitive conversation-based drafting and revision workflows. It's particularly useful for AI assistants or applications supporting novelists, report writers, and other long-form content creators, enabling efficient content development without requiring deep knowledge of document formatting or version control systems.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-16

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/frgmt0-inked)
- **Repository:** <https://github.com/frgmt0/inked>

## 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": "frgmt0-inked"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/frgmt0-inked` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/frgmt0-inked/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