avoid-ai-writing-mcp
Provides local, deterministic scoring and detailed auditing of text for AI-writing patterns via two read-only tools, with no network calls or language models.
README
avoid-ai-writing-mcp
A local, deterministic MCP server for auditing prose with the published
avoid-ai-writing-detector.
It exposes two read-only tools:
score_textreturns a compact score, classification, confidence, and counts.audit_textadds a bounded set of flagged patterns, suggested alternatives, statistics, and highlighted sentence regions.
The server makes no network calls and uses no language model. Text stays inside the local MCP process. Scores are heuristic writing-pattern signals, not proof that a person or model wrote the text.
Requirements
- Node.js 20 or newer
- An MCP host that supports local stdio servers
Install
Add this server to Claude Code:
claude mcp add avoid-ai-writing -- npx -y avoid-ai-writing-mcp
Or add it to an MCP JSON configuration:
{
"mcpServers": {
"avoid-ai-writing": {
"command": "npx",
"args": ["-y", "avoid-ai-writing-mcp"]
}
}
}
To run the current source directly from GitHub instead, use
github:conorbronsdon/avoid-ai-writing-mcp as the package spec.
The package uses stdio for protocol messages. It does not open a port or send input to an API.
Tool inputs
Both tools accept:
| Field | Type | Required | Description |
|---|---|---|---|
text |
string | yes | Text to evaluate locally (maximum 100,000 characters). |
context |
enum | no | general (default), technical, marketing, or personal. |
technical mode reduces noise from patterns that are normal in code-adjacent
writing. The other modes preserve the detector's context-specific behavior.
audit_text returns at most 100 issues and 100 highlighted regions. Its
truncated field reports how many additional items the detector produced.
Development
npm install
npm test
npm run inspect
npm run inspect launches the official MCP Inspector against the local stdio
entry point.
Scope
This package intentionally does not expose a rewrite tool. Rewriting requires editorial judgment and often a hosted model; adding that would undermine this server's deterministic, local, privacy-preserving contract.
License
MIT
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