Can my AI agent explain the vulnerabilities found in a 42Crunch audit?

Yes. After retrieving an audit report using your agent, you can ask the agent to act as a DevSecOps engineer. It can break down exactly why you received a low score, explain specific OWASP findings, and write the YAML or JSON patch needed to fix your OpenAPI spec instantly.

How do I test a new API update before merging?

Simply paste your updated OpenAPI definitions into your AI agent's chat context. Ask the agent to import the new API definition into a staging collection. The platform will automatically run a static security audit upon import, and your agent can report back the new security score before you hit merge.

What is the difference between static audits and dynamic conformance scans?

Audits strictly verify the design of your JSON/YAML contract against security best practices without making network calls. Scans, however, send live HTTP traffic against your implemented endpoint to make sure your back-end truly conforms to what you wrote. Your agent can retrieve both reports for side-by-side comparison.

42Crunch MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: 42Crunch
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add 42Crunch as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="42crunch_agent",
    instruction=(
        "You help users interact with 42Crunch "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About 42Crunch MCP Server

Connect your 42Crunch account to any AI agent to continuously test, audit, and secure your API lifecycle through natural conversation. Say goodbye to manual spec uploads and cumbersome dashboard navigations.

Google ADK natively supports 42Crunch as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

API Collections — List and view your organizational API collections, evaluating their aggregated security scores
API Management — Import OpenAPI/Swagger definitions directly into collections, list imported definitions, or delete them when decommissioned
Static Security Audits — Trigger fresh static security audits over your OpenAPI specifications and retrieve comprehensive audit reports scoring design risks
Dynamic Conformance Scans — List historical scans and retrieve detailed execution reports highlighting undocumented behavior or implementation flaws

The 42Crunch MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect 42Crunch to Google ADK via MCP

Follow these steps to integrate the 42Crunch MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from 42Crunch via MCP

Why Use Google ADK with the 42Crunch MCP Server

Google ADK provides unique advantages when paired with 42Crunch through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with 42Crunch

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine 42Crunch tools with BigQuery, Vertex AI, and Cloud Functions

42Crunch + Google ADK Use Cases

Practical scenarios where Google ADK combined with the 42Crunch MCP Server delivers measurable value.

Enterprise data agents: ADK agents query 42Crunch and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine 42Crunch tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query 42Crunch regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including 42Crunch

42Crunch MCP Tools for Google ADK (10)

These 10 tools become available when you connect 42Crunch to Google ADK via MCP:

delete_api

Delete an API definition from the platform

get_api

Get detailed metadata and score for a specific API

get_audit_report

Download the static security audit report for an API

get_collection

Get metadata and security score for a collection

get_scan_report

Get detailed results from a dynamic conformance scan

import_api

Import an OpenAPI definition into a collection

list_apis

Each API entry includes its unique ID and security score. List all API definitions within a collection

list_collections

Use this to find the Collection ID you need to import or list APIs. List all API collections in the platform

list_scans

List dynamic conformance scans against a live API

trigger_audit

Use this to trigger a scan after a specification gets updated. Run a fresh static security audit on an API definition

Example Prompts for 42Crunch in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with 42Crunch immediately.

"List my API collections in 42Crunch."

"Get the audit report for the 'User Management' API definition."

"Trigger a fresh security audit for API ID '2e4f0a91-db6c-4822-a9b0'."

Troubleshooting 42Crunch MCP Server with Google ADK

Common issues when connecting 42Crunch to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

42Crunch + Google ADK FAQ

Common questions about integrating 42Crunch MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.