How to Use the Password Strength Scorer MCP in Google ADK

Run enterprise-grade password scoring inside your Google ADK pipelines using Gemini and the zxcvbn engine.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Password Strength Scorer MCP to Google ADK

Create your Vinkius account to connect Password Strength Scorer to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Password Strength Scorer with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Enterprise password verification in Google ADK

Large-scale enterprise systems can use the `score_password_strength` tool directly inside Google ADK to secure user accounts. This tool bypasses the model's guesswork by running the zxcvbn engine directly. This setup allows Gemini to handle complex security reasoning without leaving your Google Cloud environment. The agent executes the tool, evaluates the score, and logs the results directly into your BigQuery dataset for compliance auditing.

Analyze password trends in BigQuery

Exporting data from the `score_password_strength` tool directly to BigQuery lets you track security trends over time. This gives your security team hard data on password strength trends without exposing raw credentials. Gemini can query these datasets to generate risk reports. You can identify patterns like common dictionary terms or weak l33t-speak substitutions that are slipping past your legacy signup forms.

Long-context reasoning for security audits

Running the `score_password_strength` tool inside Gemini's massive context window lets you audit user credentials against your corporate security policies. Your agent can run the tool on sample credentials and compare the results against your internal corporate compliance guidelines. This MCP tool provides the exact mathematical entropy scores the agent needs to make these determinations. The agent can then draft detailed policy updates based on real, empirical password strength metrics.

Setup guide

Set up Password Strength Scorer 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 Password Strength Scorer 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="Password Strength Scorer_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Password Strength Scorer tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by zxcvbn. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Password Strength Scorer now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Password Strength Scorer MCP in Google ADK

You initialize the toolset using the HTTP server parameters pointing to your Vinkius MCP endpoint. Pass this toolset to your LlmAgent constructor. Gemini will automatically detect and call the `score_password_strength` tool when needed.

Yes, you can use the tool name filter in the ADK setup to restrict access. This ensures only your dedicated security or onboarding agents can execute `score_password_strength`, keeping your other agent profiles minimal.

Yes, the ADK accommodates both transports. For production cloud deployments, we recommend using the HTTP transport option to connect to the hosted MCP Server on Vinkius, ensuring low latency and reliable scaling.

It uses pattern matching and conservative estimation to calculate how many guesses an attacker would need. It checks for common names, popular dictionary words, keyboard sequences, repeat characters, and card dates.

Every password string sent to the MCP Server is processed inside a zero-trust, ephemeral V8 isolate on Vinkius. No data is stored, written to disk, or sent to external APIs. The evaluation happens entirely in memory and is wiped instantly.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript