Integrate 42Crunch with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiDelete api on 42Crunch
Delete an API definition from the platform
Get api on 42Crunch
Get detailed metadata and score for a specific API
Get audit report on 42Crunch
Download the static security audit report for an API
Get collection on 42Crunch
Get metadata and security score for a collection
Get scan report on 42Crunch
Get detailed results from a dynamic conformance scan
Import api on 42Crunch
Import an OpenAPI definition into a collection
List apis on 42Crunch
Each API entry includes its unique ID and security score. List all API definitions within a collection
List collections on 42Crunch
Use this to find the Collection ID you need to import or list APIs. List all API collections in the platform
List scans on 42Crunch
List dynamic conformance scans against a live API
Trigger audit on 42Crunch
Use this to trigger a scan after a specification gets updated. Run a fresh static security audit on an API definition
Security & Code Integrity Audit
Every tool in the 42Crunch MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
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.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
42Crunch Capabilities for AI Assistants
The 42Crunch MCP server handles authentication and payload formatting, allowing your LLM to perform deterministic actions.
Scaling api security via MCP
Connect the 42Crunch server to enable api security workflows. The integration provides structured schemas for Claude to mutate developer tools data.
Connecting vulnerability scanning with Cursor
Use 42Crunch to interface with vulnerability scanning via natural language. The toolkit provides Cursor with LLM-friendly schemas for developer tools tasks.
42Crunch. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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