How to Use the Winston AI MCP in Google ADK

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

The server handles text (via detectaitext), documents (detectaifile), and images (detectaiimage). It gives detailed metrics on plagiarism, originality, and factual accuracy.

Q: Does Winston AI compare texts within the Google ADK?

Yes. You can use textcompare to measure similarity between two strings or run specialized comparisons like checking if a file is plagiarized using checkplagiarismfile.

Audit, verify, and analyze content integrity using the Google ADK framework.

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Connect Winston AI MCP to Google ADK

Create your Vinkius account to connect Winston AI to Google ADK 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 Google ADK

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Plagiarism Checking with Winston AI

Need to audit a submission? The MCP Server lets your agent use `check_plagiarism_file` for entire documents, or check specific text snippets using `check_plagiarism_text`. You can also quickly run checks against an external web page URL via `check_plagiarism_url`. This is key when building enterprise agents that ingest user-generated content. Your agent ensures the material meets institutional standards before processing it further.

Fact and AI Detection with MCP Server

The server provides comprehensive verification tools. You can run `fact_checker` on text, or verify facts from a file using `fact_checker_file`. If you suspect content is synthetic, `detect_ai_text` gives a score indicating human likelihood. For web-based data sources, the agent can use `fact_checker_url` and `detect_ai_url`, making it perfect for analyzing public datasets pulled into BigQuery.

Comparing Text Content with Winston AI

The MCP Server includes a simple but essential tool: `text_compare`. This lets your agent generate a similarity score between two arbitrary texts, useful for identifying paraphrasing. Furthermore, if you need to audit multiple sources simultaneously, the server offers specialized tools like comparing documents via `check_plagiarism_file`.

Setup guide

Set up Winston AI MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Winston AI tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Winston AI_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Winston AI tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Winston AI MCP in Google ADK

You expose the toolset to your LlmAgent, and it handles the calls. Since the MCP Server is structured for enterprise use, your agent can reliably call functions like `fact_checker` or `detect_ai_url` within its workflow.

This server touches documents and web URLs. The tools process content to check facts, detect plagiarism, and determine the origin of text or images.

Yes. You simply include the toolset when initializing your agent. It's designed for integration into large-scale, production systems running on Vertex AI.

The server handles text (via `detect_ai_text`), documents (`detect_ai_file`), and images (`detect_ai_image`). It gives detailed metrics on plagiarism, originality, and factual accuracy.

Yes. You can use `text_compare` to measure similarity between two strings or run specialized comparisons like checking if a file is plagiarized using `check_plagiarism_file`.

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