# Acrolinx NextGen

> Use this tool when you need to analyze and improve text quality with AI-powered suggestions, automate editing workflows, or enforce style guide compliance. It provides four core tools: automated text rewriting, quality analysis, targeted editing suggestions, and workflow status checking, with support for multiple style guides, language dialects, and tone settings. Ideal for content teams, technical writers, and organizations seeking to integrate enterprise-grade writing assistance into their AI-driven content creation processes.

Canonical page: https://skillsregistry.net/skills/acrolinx-nextgen  
JSON: https://api.skillsregistry.net/v1/skills/acrolinx-nextgen

## Description

This MCP server integrates with Acrolinx's NextGen API to provide AI assistants with professional text analysis and improvement capabilities, built by Acrolinx using TypeScript with comprehensive workflow management including retry logic, timeout handling, and polling mechanisms. The implementation offers four core tools: automated text rewriting that transforms content while maintaining style guide compliance, quality analysis that provides detailed scores across grammar/clarity/tone dimensions, targeted editing suggestions for manual improvements, and workflow status checking for asynchronous operations. Supporting multiple style guides (AP, Chicago, Microsoft, Proofpoint), language dialects, and tone settings with configurable parameters for text length limits and API timeouts, it serves content teams needing automated editing workflows, technical writers requiring style guide enforcement, and organizations wanting to integrate enterprise-grade writing assistance into their AI-powered content creation processes.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/acrolinx-nextgen)
- **Repository:** <https://github.com/acrolinx/nextgen-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": "acrolinx-nextgen"
    }
  }
}
```

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