How to Use the Password Strength Evaluator MCP in Google ADK

Run local password entropy checks inside your Gemini enterprise workflows using Google ADK and this secure MCP Server.

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 Evaluator MCP to Google ADK

Create your Vinkius account to connect Password Strength Evaluator 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 Evaluator with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Local entropy checks for enterprise databases

Large enterprises can't risk sending sensitive strings to external APIs. By using the `evaluate_password` tool, your Gemini agents can analyze user credentials locally without making a single network call. The tool uses the zxcvbn engine to calculate mathematical entropy instantly. This setup fits perfectly into enterprise pipelines. You can deploy the MCP Server alongside your database tools, giving your agent a secure way to audit legacy systems without exposing credentials to the public internet.

Audit BigQuery tables with Google ADK agents

If you store legacy user records in BigQuery, your agent can run bulk security audits. The agent reads the target rows, passes the credentials to `evaluate_password`, and writes the resulting scores back to Google Cloud. Because Gemini models support long-context reasoning, your agent can hold thousands of audit results in its context window. This makes it easy to generate a summary report of your organization's credential strength in one go.

Simple integration with Google ADK toolsets

Exposing the tool to your agent requires minimal setup. You instantiate the toolset with the HTTP server parameters and pass it to the agent tools list. The SDK handles the connection details automatically. If you want to restrict what your agent can do, use the optional tool names filter. This ensures the agent only has access to `evaluate_password` and cannot execute unauthorized commands on your infrastructure.

Setup guide

Set up Password Strength Evaluator 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 Evaluator 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 Evaluator_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Password Strength Evaluator 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 Evaluator 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 Evaluator MCP in Google ADK

You initialize the toolset with the HTTP server configuration pointing to your Vinkius endpoint. Then, pass this toolset object into the tools parameter of your agent. The Gemini model will automatically detect the `evaluate_password` tool and call it when needed.

Yes, the tool works perfectly with Gemini's large token limits. Your Google ADK agent can pass multiple passwords to `evaluate_password` and analyze the combined feedback to identify systemic credential weaknesses across your database.

Yes, the server runs inside a secure, zero-trust sandbox on Vinkius. The password strings are evaluated locally using the zxcvbn engine, meaning no raw credentials leave the execution environment. Only the calculated entropy score and crack times are returned to your Google ADK agent.

Writing custom password validation regex is prone to errors and doesn't measure real-world crack times. The `evaluate_password` tool uses a proven entropy model that detects dictionary words, keyboard patterns, and repeat characters.

The server processes password strings in memory inside an ephemeral V8 isolate. It does not write to disk or send data to external networks. Once the evaluation is complete, the sandbox is torn down, leaving zero trace of the credential.

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