pulsemcp scanned Safe content atomic mcp-remote

Winston AI

An MCP server that integrates with Winston AI's detection APIs to provide AI content detection, plagiarism checking, image analysis, and text comparison capabilities. Built by Winston AI, it exposes four tools that leverage their detection algorithms: analyzing text for AI-generated content with sentence-level scoring, detecting AI-generated images through metadata and machine learning analysis, scanning text against billions of web pages for plagiarism with detailed source identification, and comparing two texts for similarity with matching content breakdown. The implementation handles API authentication, response formatting, and error handling while providing detailed explanations of detection results, making it valuable for academic integrity checking, content verification workflows, and automated quality assurance processes.

Cognium trust score

65%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Repository: github.com/gowinston-ai/winston-ai-mcp-server
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve Winston AI from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"