# Author Style "-esque" MCP Server

> Use this tool when you need to generate text or images in the style of renowned authors or create unique blends of literary patterns. It solves problems of creative writing and content generation by providing a catalog of curated author styles and tools for analysis and interpolation. The server takes in text or image prompts and outputs generated content with applied author styles, making it ideal for writers, artists, and content creators seeking to enhance their work with structured literary patterns.

Canonical page: https://skillsregistry.net/skills/dmarsters-author-style-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dmarsters-author-style-mcp

## Description

Provides a catalog of curated author writing styles and tools to blend or analyze them across eight dimensions for text and image prompt generation. It enables users to apply structured literary patterns through deterministic style modeling and coordinate-based interpolation.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qi7sydc46d)
- **Repository:** <https://github.com/dmarsters/author-style-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": "dmarsters-author-style-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dmarsters-author-style-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dmarsters-author-style-mcp/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