# FastMCP Novel Processing Tool

> Use this tool when you need to efficiently process and transform large volumes of text, such as novels or documents, with precise token-based segmentation and automated rewriting capabilities. It solves problems related to content management, editing, and rewriting, and integrates with the Cursor editor to streamline workflows. Ideal for use cases involving bulk content transformation, automated editing, and prompt management, with inputs including raw text files and outputs including transformed and rewritten content.

Canonical page: https://skillsregistry.net/skills/imohuan-novel-segmentation-mcp  
JSON: https://api.skillsregistry.net/v1/skills/imohuan-novel-segmentation-mcp

## Description

An MCP server for intelligent novel processing that enables precise token-based text segmentation and management of bulk rewriting tasks. It integrates with the Cursor editor to facilitate automated content transformation workflows and prompt management.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hzph6jznyh)
- **Repository:** <https://github.com/imohuan/novel-segmentation-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": "imohuan-novel-segmentation-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/imohuan-novel-segmentation-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/imohuan-novel-segmentation-mcp/pull`

---
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