avoid-ai-writing-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@avoid-ai-writing-mcpCan you check this text for AI writing patterns?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 every flagged pattern, 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 18 or newer
An MCP host that supports local stdio servers
Related MCP server: Byakugan: Private, open-source AI-text checker
Run from GitHub
Add this server to Claude Code:
claude mcp add avoid-ai-writing -- npx -y github:conorbronsdon/avoid-ai-writing-mcpOr add it to an MCP JSON configuration:
{
"mcpServers": {
"avoid-ai-writing": {
"command": "npx",
"args": ["-y", "github:conorbronsdon/avoid-ai-writing-mcp"]
}
}
}After the package is released to npm, replace the GitHub package spec with
avoid-ai-writing-mcp.
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 |
| string | yes | Text to evaluate locally (maximum 100,000 characters). |
| enum | no |
|
technical mode reduces noise from patterns that are normal in code-adjacent
writing. The other modes preserve the detector's context-specific behavior.
Development
npm install
npm test
npm run inspectnpm 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
Maintenance
Tools
Related MCP Servers
- AlicenseAqualityDmaintenanceEnables AI attribution audits and quick transparency checks on written content, providing authorship analysis and segment breakdowns for editorial review.21MIT
- AlicenseAqualityBmaintenanceA private, open-source AI-text checker. Get a read on whether text looks AI-written, the exact AI-tell spans to fix, a reuse check, and a grammar pass.4MIT
- FlicenseNot gradedqualityAmaintenanceProvides tools to analyze local PDFs and CSVs (page count, text search, scoring, column stats) with strict refusal to guess ambiguous data. Requires a paid license.
- AlicenseAqualityAmaintenanceBilingual (EN/ES) AI-writing detection that shows the evidence instead of a percentage: named tells with line and column, hidden-character inspection, and citation cross-checking against a document's own bibliography. Seven of its nine tools run entirely locally and never touch the network.1020MIT
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