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 LangChain 10 tools — connect in under 2 minutes

Name: 42Crunch
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect 42Crunch through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "42crunch": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using 42Crunch, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with 42Crunch through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from 42Crunch via MCP

Why Use LangChain with the 42Crunch MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine 42Crunch MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across 42Crunch queries for multi-turn workflows

42Crunch + LangChain Use Cases

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

RAG with live data: combine 42Crunch tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query 42Crunch, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain 42Crunch tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every 42Crunch tool call, measure latency, and optimize your agent's performance

42Crunch MCP Tools for LangChain (10)

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

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

42Crunch + LangChain FAQ

Common questions about integrating 42Crunch MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.