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 LlamaIndex 10 tools — connect in under 2 minutes

Name: 42Crunch
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add 42Crunch as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to 42Crunch. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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High SecurityEnterprise-grade

IAMAccess control

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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.

LlamaIndex agents combine 42Crunch tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the 42Crunch MCP Server

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

Data-first architecture: LlamaIndex agents combine 42Crunch tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain 42Crunch tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query 42Crunch, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what 42Crunch tools were called, what data was returned, and how it influenced the final answer

42Crunch + LlamaIndex Use Cases

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

Hybrid search: combine 42Crunch real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query 42Crunch to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying 42Crunch for fresh data

Analytical workflows: chain 42Crunch queries with LlamaIndex's data connectors to build multi-source analytical reports

42Crunch MCP Tools for LlamaIndex (10)

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

42Crunch + LlamaIndex FAQ

Common questions about integrating 42Crunch MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query 42Crunch tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.