How to Use the Winston AI MCP in OpenAI Agents SDK

Q: Can I verify facts using Winston AI with OpenAI Agents SDK?

Absolutely. You can run factcheckerfile by providing a URL, or you can use factchecker directly on raw text within your agent's logic.

Q: What types of content does Winston AI detect in the OpenAI Agents SDK?

It detects AI content across multiple formats: files (detectaifile), images (detectaiimage), and pure text. The server provides a score or boolean result for each type.

Grade academic submissions or audit content quality using the OpenAI Agents SDK.

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Connect Winston AI MCP to OpenAI Agents SDK

Create your Vinkius account to connect Winston AI to OpenAI Agents SDK 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 OpenAI Agents SDK

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Verify Academic Content with Winston AI

Need to check if a submitted paper is plagiarized? You can run checks on files via `check_plagiarism_file`, compare raw text using `check_plagiarism_text`, or audit an entire website URL with `check_plagiarism_url`. These tools give you immediate reports on originality. When validating sources, the MCP Server lets your agent use `fact_checker_url` to verify data straight from a webpage. It’s perfect for building robust assessment workflows into your deployed product.

AI Content Detection via Winston AI

The server handles multiple detection types. You can test if an image is machine-generated using `detect_ai_image`, or check a document file's origin with `detect_ai_file`. The `detect_ai_text` tool even gives you a score, letting you grade the likelihood of human authorship. Your agent uses these tools to build guardrails around content input. It determines if text is AI-written by running checks on both raw strings and full URLs via `detect_ai_url`. This keeps your production agents safe.

Comparing Text Similarity with MCP Server

Sometimes you just need to know how similar two pieces of writing are. The `text_compare` function handles this directly, giving you a concrete similarity score between any two texts. For deep data validation, the server lets your agent compare facts across sources. If you suspect mismatched claims, running a comparison tool like `fact_checker_file` ensures both inputs align before proceeding.

Setup guide

Set up Winston AI MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Winston AI tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Winston AI tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Winston AI tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Winston AI Agent",
            instructions="You have access to Winston AI tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Winston AI MCP in OpenAI Agents SDK

You pass the MCP Server endpoint when setting up your Agent. Your agent automatically discovers all tools, so you just call `check_plagiarism_text` or `detect_ai_file` as if it were a native function.

This server touches document files and text strings. The tools allow you to check plagiarism, detect AI origins, and verify facts within the provided content.

Yep. Since it's an auto-discovered toolset, your agent doesn't need special configuration to use functions like `fact_checker` or `detect_ai_url`. It just works out of the box.

Absolutely. You can run `fact_checker_file` by providing a URL, or you can use `fact_checker` directly on raw text within your agent's logic.

It detects AI content across multiple formats: files (`detect_ai_file`), images (`detect_ai_image`), and pure text. The server provides a score or boolean result for each type.

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