Documentation Index
Fetch the complete documentation index at: https://docs.gowinston.ai/llms.txt
Use this file to discover all available pages before exploring further.
Winston AI MCP Server ⚡️
The Model Context Protocol (MCP) Server lets you self-host the same detection capabilities that power the Winston AI API. Use it for fully offline workflows, or to integrate with tools like Cursor or Claude Desktop.
✨ Features
- AI Text Detection – human vs AI classification with sentence-level analysis
- AI Image Detection – identify AI-generated images, C2PA metadata & watermark detection
- Plagiarism Detection – internet-scale plagiarism scans with detailed source reports
- Text Comparison – bidirectional similarity analysis between two texts
All functionality and credit costs are identical to the hosted API.
🌐 API Integration
This section shows how to integrate our MCP server with our Host API or NPM package.
Base URL
The Base URL for the Host MCP server is
https://api.gowinston.ai/mcp/v1
The server exposes a JSON-RPC 2.0 API over HTTPS POST. Each request must contain the fields:
{
"jsonrpc": "2.0", // protocol version
"method": "…", // tools/list or tools/call
"id": 1, // correlation id
"params": { … } // depends on the method
}
cURL Examples
curl --location 'https://api.gowinston.ai/mcp/v1' \
--header 'content-type: application/json' \
--header 'accept: application/json' \
--header 'jsonrpc: 2.0' \
--data '{
"jsonrpc": "2.0",
"method": "tools/list",
"id": 1
}'
Example: AI Text Detection
curl --location 'https://api.gowinston.ai/mcp/v1' \
--header 'content-type: application/json' \
--header 'accept: application/json' \
--data '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "ai-text-detection",
"arguments": {
"text": "Your text to analyze (minimum 300 characters)",
"apiKey": "your-winston-ai-api-key"
}
}
}'
Example: AI Image Detection
curl --location 'https://api.gowinston.ai/mcp/v1' \
--header 'content-type: application/json' \
--header 'accept: application/json' \
--data '{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "ai-image-detection",
"arguments": {
"url": "https://example.com/image.jpg",
"apiKey": "your-winston-ai-api-key"
}
}
}'
Example: Plagiarism Detection
curl --location 'https://api.gowinston.ai/mcp/v1' \
--header 'content-type: application/json' \
--header 'accept: application/json' \
--data '{
"jsonrpc": "2.0",
"id": 3,
"method": "tools/call",
"params": {
"name": "plagiarism-detection",
"arguments": {
"text": "Text to check for plagiarism (minimum 100 characters)",
"apiKey": "your-winston-ai-api-key"
}
}
}'
Example: Text Comparison
curl --location 'https://api.gowinston.ai/mcp/v1' \
--header 'content-type: application/json' \
--header 'accept: application/json' \
--data '{
"jsonrpc": "2.0",
"id": 4,
"method": "tools/call",
"params": {
"name": "text-compare",
"arguments": {
"first_text": "First text to compare",
"second_text": "Second text to compare",
"apiKey": "your-winston-ai-api-key"
}
}
}'
Note: Replace your-winston-ai-api-key with your actual Winston AI API key. You can get one at https://dev.gowinston.ai.
🔧 Local configuration
For Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"winston-ai-mcp": {
"command": "npx",
"args": ["-y", "winston-ai-mcp"],
"env": {
"WINSTONAI_API_KEY": "your-api-key"
}
}
}
}
For Cursor IDE
Add to your Cursor configuration:
{
"mcpServers": {
"winston-ai-mcp": {
"command": "npx",
"args": ["-y", "winston-ai-mcp"],
"env": {
"WINSTONAI_API_KEY": "your-api-key"
}
}
}
}
For more information (Docker 🐳, NPM package, running from source, etc.) see the GitHub repository.