How to Use the Winston AI MCP in Pydantic AI

Q: What kinds of content does Winston AI detect in the Pydantic AI?

It detects plagiarism, AI origin (using detectaitext), and factual inaccuracies. The server handles files, images, and web URLs across these checks.

Q: Does Winston AI compare texts within the Pydantic AI?

Yes. You can use both dedicated comparison tools like textcompare or general plagiarism checkers such as checkplagiarismfile. The results are always validated against your schema.

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Connect Winston AI MCP to Pydantic AI

Create your Vinkius account to connect Winston AI to Pydantic AI 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 Pydantic AI

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Structured Plagiarism Checks with Winston AI

When you call `check_plagiarism_file`, the MCP Server returns a structured object detailing plagiarism findings. You can check raw text using `check_plagiarism_text` or audit an entire site via `check_plagiarism_url`. The Pydantic framework ensures these results are always predictable. This is critical for building reliable, type-safe agents that need to pass data downstream without worrying about schema drift.

AI and Fact Verification with MCP Server

The server provides multiple ways to check content integrity. You can use `fact_checker` on a text string, or verify facts from an external source using `fact_checker_url`. The output structure is guaranteed by Pydantic. It also handles AI detection across formats: you get structured results for images (`detect_ai_image`) and documents (`detect_ai_file`).

Comparing Content Types with Winston AI

If your agent needs to know if two texts are similar, the `text_compare` tool provides a structured similarity score. This makes integrating content audits into complex pipelines straightforward. Beyond comparison, you can use the server to check for general text similarity using `check_plagiarism_text`, making sure all inputs meet your predefined structural requirements.

Setup guide

Set up Winston AI MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "winston-ai-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Winston AI tools.",
)

result = await agent.run("List recent Winston AI transactions")
print(result.output)

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Common questions about Winston AI MCP in Pydantic AI

You pass the MCP Server endpoint to your Agent, treating it as a standard toolset. Because of Pydantic's validation layer, you get type-hinted outputs for every function call.

This server processes text strings and URLs in all its tools—from `fact_checker` to `detect_ai_url`. All results are returned in a predictable, structured format.

Yes. The connection is straightforward; you just include the toolset and benefit from runtime validation on every single response it sends back to your agent.

It detects plagiarism, AI origin (using `detect_ai_text`), and factual inaccuracies. The server handles files, images, and web URLs across these checks.

Yes. You can use both dedicated comparison tools like `text_compare` or general plagiarism checkers such as `check_plagiarism_file`. The results are always validated against your schema.

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