How to Use the Winston AI MCP in Claude Code

Q: How does Winston AI work in Claude Code?

You run it via a command line using the claude mcp add command. It provides your headless agent with tools to perform data validation, like checking plagiarism or verifying facts.

Q: Is the fact-checking done by Winston AI reliable enough for production?

Yes. Running factcheckerurl in a script gives you verifiable data points, which is exactly what DevOps and SRE workflows need to ensure quality before deployment.

Automate academic and factual checks using Winston AI in Claude Code for headless CI/CD pipelines.

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Connect Winston AI MCP to Claude Code

Create your Vinkius account to connect Winston AI to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Winston AI with Claude Code

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Check plagiarism from live URLs.

Need to audit a public-facing page? Run `check_plagiarism_url` directly in your pipeline script. This tool pulls content from the specified website and checks it for matching sources. It's fast, headless work that gives you an immediate pass/fail status code if plagiarism is found.

Detect AI content on web pages.

Before deploying marketing copy or documentation, run `detect_ai_url` against the live site. This ensures your output doesn't look machine-generated when it needs to feel human. This is a critical step for quality control in any automated publishing flow.

Verify facts from remote sources.

The `fact_checker_url` tool lets you programmatically validate claims on external webpages. You pass the URL and the claim, and the output tells you if it's verifiable. This makes your CI/CD pipelines useful for more than just compiling code; they can verify knowledge.

Setup guide

Set up Winston AI MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see winston-ai-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Winston AI transactions." It will automatically discover and invoke the available Winston AI tools.

Terminal

claude mcp add --transport http winston-ai-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Winston AI MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "winston-ai-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Winston AI MCP in Claude Code

You run it via a command line using the `claude mcp add` command. It provides your headless agent with tools to perform data validation, like checking plagiarism or verifying facts.

Absolutely. You can write a cron job that loops through a list of URLs and runs `check_plagiarism_url` against each one, logging the results to a file.

The server touches website URLs, text strings, and document files (via URL). These types are perfect for automated auditing scripts that run without user intervention.

Yes. Running `fact_checker_url` in a script gives you verifiable data points, which is exactly what DevOps and SRE workflows need to ensure quality before deployment.

The server touches website URLs when running these checks. Authentication is handled by Vinkius using a single endpoint token, keeping your connection secure for automated tasks.

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