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AI Humanize
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javascript
Language
7 months ago
First Indexed
3 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"mcp-mirror-text2go_ai-humanizer-mcp-server": {
"command": "npx",
"args": [
"-y",
"ai-humanizer-mcp-server"
]
}
}
}You deploy and run an MCP server that specializes in AI text humanization. It detects AI-generated writing and refines content to read naturally, while preserving key terminology. This makes it easy to preprocess, review, and polish AI-produced text before sharing it with others.
How to use
You connect to the AI Humanize MCP Server through an MCP client. Start the server using one of the supported startup methods, then reference it in your client configuration. Once connected, you can run AI text detection to identify AI-generated content and apply natural language enhancement for more human-like output. You will retain important terms and adjust length as needed to preserve meaning while improving readability.
How to install
Prerequisites you need before installing:
Node.js version 16 or newer is required. You also need Claude Desktop running on your machine to use the MCP server via the Claude integration.
Option A: Install via npx (CLI-based configuration for Claude Desktop)
{
"mcpServers": {
"ai_humanizer": {
"command": "npx",
"args": ["-y", "ai-humanizer-mcp-server"]
}
}
}
Restart Claude Desktop after applying the configuration to make the MCP server available for use.
Option B: Install from source code (local runtime)
npm install
npm run build
{
"mcpServers": {
"ai_humanizer": {
"command": "node",
"args": ["<YOUR_PROJECT_PATH>/build/index.js"]
}
}
}
Restart Claude Desktop after applying the configuration to make the MCP server available for use.
## Additional notes
If you plan to run the server locally, ensure you build the project before starting the runtime. You can switch between the npx-based and node-based startup methods as needed.