winston-ai-mcp
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| WINSTONAI_API_KEY | Yes | Your Winston AI API key |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| ai-text-detectionA | Detects AI content in a given text to detect the likelihood of the text being written by an AI. Cost: 1 credit per word. |
| ai-image-detectionA | Detects AI content in a given image by verifying image metadata and using a machine learning system trained to differentiate between human and AI-generated images. Cost: 300 credits per image. |
| plagiarism-detectionA | Winston AI's plagiarism API is a powerful tool designed to check text for plagiarism by scouring the internet for similar content. It queries multiple websites and compares the input text with the content found on these websites. This can be particularly useful in academic settings, content creation, legal scenarios or any other situation where originality of content is required. Cost: 2 credits per word. |
| text-compareA | Compares two texts and returns the similarity score. Cost: 0.5 credit per total words found in both texts. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool targets a distinctly different function: image AI detection, text AI detection, plagiarism detection against the internet, and pairwise text comparison. There is no overlap or ambiguity.
Three tools follow a consistent 'ai-*-detection' or 'plagiarism-detection' pattern, but 'text-compare' deviates by using 'compare' instead of 'detection' and omits the 'ai-' prefix.
With 4 tools covering image and text AI detection, plagiarism, and comparison, the count is well-scoped for a focused content-authentication server.
The set covers primary detection needs (AI images, AI text, plagiarism) and adds comparison. Minor gaps like batch processing or document-level analysis exist but are not critical.