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 Pydantic AI 10 tools — connect in under 2 minutes

Name: 42Crunch
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect 42Crunch through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to 42Crunch "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in 42Crunch?"
    )
    print(result.data)

asyncio.run(main())

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.

Pydantic AI validates every 42Crunch tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the 42Crunch MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from 42Crunch with type-safe schemas

Why Use Pydantic AI with the 42Crunch MCP Server

Pydantic AI provides unique advantages when paired with 42Crunch through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your 42Crunch integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your 42Crunch connection logic from agent behavior for testable, maintainable code

42Crunch + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the 42Crunch MCP Server delivers measurable value.

Type-safe data pipelines: query 42Crunch with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple 42Crunch tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query 42Crunch and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock 42Crunch responses and write comprehensive agent tests

42Crunch MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect 42Crunch to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

42Crunch + Pydantic AI FAQ

Common questions about integrating 42Crunch MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your 42Crunch MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.