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 CrewAI 10 tools — connect in under 2 minutes

Name: 42Crunch
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to 42Crunch through Vinkius, pass the Edge URL in the `mcps` parameter and every 42Crunch tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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 crewai import Agent, Task, Crew

agent = Agent(
    role="42Crunch Specialist",
    goal="Help users interact with 42Crunch effectively",
    backstory=(
        "You are an expert at leveraging 42Crunch tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in 42Crunch "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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.

When paired with CrewAI, 42Crunch becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call 42Crunch tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from 42Crunch

Why Use CrewAI with the 42Crunch MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with 42Crunch through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

42Crunch + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries 42Crunch for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries 42Crunch, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain 42Crunch tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries 42Crunch against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

42Crunch MCP Tools for CrewAI (10)

These 10 tools become available when you connect 42Crunch to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

42Crunch + CrewAI FAQ

Common questions about integrating 42Crunch MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.