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42Crunch MCP. Audit APIs and manage API collections via conversation.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

42Crunch MCP on Cursor AI Code Editor MCP Client 42Crunch MCP on Claude Desktop App MCP Integration 42Crunch MCP on OpenAI Agents SDK MCP Compatible 42Crunch MCP on Visual Studio Code MCP Extension Client 42Crunch MCP on GitHub Copilot AI Agent MCP Integration 42Crunch MCP on Google Gemini AI MCP Integration 42Crunch MCP on Lovable AI Development MCP Client 42Crunch MCP on Mistral AI Agents MCP Compatible 42Crunch MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

42Crunch. Automate API security testing and governance using any AI agent. This server lets you manage API collections, run static security audits, and get detailed conformance reports by calling tools like `list_collections` and `trigger_audit`.

It brings security risk assessment directly into your conversational workflow, eliminating manual dashboard navigation for API compliance.

What your AI agents can do

Delete api

Removes a specified API definition from the platform's collections.

Get api

Retrieves the detailed metadata and security score for a single API definition.

Get audit report

Downloads the complete static security audit report for an API definition.

+ 7 more capabilities included
List and Track API Collections

Find all API collections and check their aggregated security scores using list_collections.

Import and Manage API Specs

Bring OpenAPI or Swagger definitions into a collection using import_api, or remove them entirely with delete_api.

Run Static Security Audits

Initiate a fresh security audit on an API definition using trigger_audit and get the results with get_audit_report.

Review Dynamic Scan Results

Get detailed reports on historical API behavior and conformance issues by calling get_scan_report after listing scans with list_scans.

Check API Health Scores

Retrieve the current security score and metadata for a specific API using get_api or a collection using get_collection.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
Free for Subscribers

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AI Agent

42Crunch MCP Server: 10 Tools for API Security

These tools let your AI agent manage the full API security lifecycle, from importing specs and running audits to retrieving historical compliance reports.

delete019d7541

delete api

Removes a specified API definition from the platform's collections.

get019d7541

get api

Retrieves the detailed metadata and security score for a single API definition.

get019d7541

get audit report

Downloads the complete static security audit report for an API definition.

get019d7541

get collection

Retrieves the metadata and security score for an entire API collection.

get019d7541

get scan report

Pulls detailed results from a dynamic conformance scan, highlighting implementation flaws.

import019d7541

import api

Adds an OpenAPI definition file into a specified API collection.

list019d7541

list apis

Lists every API definition within a collection, showing its unique ID and current security score.

list019d7541

list collections

Lists all API collections available in the platform, helping you find the correct ID for operations.

list019d7541

list scans

Shows a history of dynamic conformance scans run against a live API.

trigger019d7541

trigger audit

Runs a fresh static security audit on an API definition after its specification has been updated.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with 42Crunch, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

Yo, hook up your AI client to the 42Crunch MCP Server. You can audit and govern your APIs without leaving the chat window. You'll get to run full static and dynamic security checks and keep track of compliance history, all just by talking to your agent.

Managing API Collections

Start by finding all the API collections on the platform; you use list_collections for that. Once you know the collection ID, you can check its overall metadata and security score by calling get_collection.

Handling API Definitions

To get an API spec into a collection, you use import_api to bring in the OpenAPI or Swagger definition file. Need to clean up? delete_api removes a specific API definition, and get_api lets you check the detailed metadata and security score for just one API.

Running Static Security Audits

When you update an API spec, you run a fresh static security audit using trigger_audit. After it runs, you grab the complete static security audit report for that API definition with get_audit_report.

Reviewing Dynamic Scan Results

Check the history of dynamic conformance scans by calling list_scans. To pull detailed results on how an API behaved—like finding implementation flaws or undocumented behavior—you use get_scan_report.

Tracking APIs

You can see every API definition inside a collection using list_apis, which shows you the unique ID and current security score for each one. You can also pull detailed results from any dynamic conformance scan using get_scan_report.

Basically, your agent handles the whole process. You tell it what you need—like, 'Run a static audit on the User Management API'—and it calls the right tools, gets the data, and spits out the results for you in plain English. No more clicking around dashboards.

Getting Started

Just subscribe to the server and drop your 42Crunch API Token in. Your AI client then uses the tools to do the heavy lifting. It’ll read the data and format the whole thing for you. It’s straightforward.

How 42Crunch MCP Works

  1. 1 First, you connect your 42Crunch API Token to the MCP Server.
  2. 2 Next, you direct your AI agent to list collections using list_collections to find the target scope.
  3. 3 Finally, you ask the agent to trigger an audit using trigger_audit, and then retrieve the findings with get_audit_report.

The bottom line is that your AI client manages the entire security audit lifecycle—from listing assets to triggering and reviewing reports—using a single chat interface.

Who Is 42Crunch MCP For?

The DevSecOps Engineer who gets tired of switching between the CI/CD dashboard, the API gateway, and a dedicated security tool. This is for Platform Teams managing microservices and Backend Developers who need to quickly compare security grades across multiple API iterations.

DevSecOps Engineer

Runs continuous security audits, asks for specific remediation steps for OWASP vulnerabilities, and tracks security hygiene across an entire microservice collection.

Platform Team Lead

Governs the entire microservices ecosystem, ensuring uncompliant endpoints are spotted and security scores are tracked for every collection.

Backend Developer

Imports new API specs, triggers a scan immediately, and compares the security grade evolution without leaving their IDE or chat.

What Changes When You Connect

  • Audit APIs and collections without leaving your chat. Instead of manually uploading specs to a separate dashboard, you tell your agent to run trigger_audit and get results immediately.
  • See the security score evolution instantly. When you use get_api or get_collection, you get a current score alongside the metadata, allowing you to track degradation over time.
  • Get historical context on compliance. list_scans shows you every dynamic conformance scan, and get_scan_report pulls the detailed report so you don't have to dig through old logs.
  • Simplify asset management. Use list_collections to see all your API groups and instantly find the collection ID, which is often the hardest part of setting up an audit.
  • Maintain a single source of truth for specs. You can use import_api to add definitions and delete_api to clean up decommissioned endpoints, all from one prompt.
  • Speed up developer iteration. Developers can use import_api and trigger_audit back-to-back, comparing the new security grade against the previous one without context switching.

Real-World Use Cases

01

Initial Security Assessment

A new platform team needs to audit 12 microservices. They ask their agent to run list_collections. The agent provides the IDs, and the team then uses get_collection to get the score for the 'Internal Microservices' collection, immediately identifying the lowest-scoring area for focus.

02

Post-Deployment Compliance Check

A developer updates an API spec. Instead of manually resubmitting it, they prompt the agent to run trigger_audit on the specific API ID. The agent waits for the job to finish and then calls get_audit_report, returning a list of critical CWE-307 issues.

03

Root Cause Analysis for Failures

The system shows an unexpected behavioral flaw. A platform lead asks the agent to run list_scans to see the history, then calls get_scan_report for the last run. This provides a detailed report on undocumented behavior, pointing the team to the exact code gap.

04

Cleaning Up Decommissioned APIs

A service is retired. The backend developer asks the agent to run list_apis to confirm the API ID, and then calls delete_api to formally remove the definition, ensuring the security collection remains clean.

The Tradeoffs

Manually checking API status

Going to the 42Crunch dashboard, manually finding the API ID, clicking the 'Audit' button, and waiting for the page to load the score.

Ask your agent to run list_apis first. Then, tell it to trigger_audit and finally, call get_audit_report to get the score and findings instantly.

Forgetting the scan history

Assuming the current security score is enough, ignoring the fact that the API might have failed compliance checks last month.

Use list_scans to see the full history of dynamic scans. Then, call get_scan_report to review the detailed findings from a specific date.

Over-relying on single tool calls

Calling get_api and getting a score, but failing to check if the API definition is linked to an active collection.

Always start by running list_collections to establish the scope, and then use get_collection to validate the context before calling get_api.

When It Fits, When It Doesn't

Use this server if your primary pain point is managing security compliance across dozens of APIs and collections, and you need to run audits and track history without changing tools. You must have OpenAPI/Swagger definitions ready to import. Don't use this if your goal is simply to track API usage metrics (e.g., request counts); you need a dedicated API Gateway tool for that. If you only need to delete one API, you can use delete_api, but for any serious auditing or lifecycle management, you need the sequence: list_collections -> get_collection -> trigger_audit -> get_audit_report.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by 42Crunch. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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How we secure it →

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

delete_api get_api get_audit_report get_collection get_scan_report import_api list_apis list_collections list_scans trigger_audit

Security audits shouldn't require navigating five different dashboards.

Right now, checking an API's security grade means logging into the 42Crunch dashboard. You find the API, manually select the collection, click 'Audit,' wait 10 minutes for the job to complete, and then download the report. It's a tedious cycle of clicking, waiting, and copy-pasting.

With the 42Crunch MCP Server, you just ask your agent to audit the API. It runs `trigger_audit` in the background, pulls the results, and gives you the full report immediately. The entire process stays in your chat, making compliance checks fast and conversational.

42Crunch MCP Server: Get security reports with `get_audit_report`

Before, getting a full static audit report meant manually finding the correct API ID and running the job, often leading to stale or incomplete data. You'd have to track the report link across multiple tabs.

Now, you ask your agent to trigger the audit and then call `get_audit_report`. It fetches the definitive report, scoring design risks and listing exactly which CWE vulnerabilities need fixing. It's direct, specific, and requires zero context switching.

Common Questions About 42Crunch MCP

How do I use the `list_collections` tool in 42Crunch? +

You ask your agent to run list_collections. It shows you all the API collections in the platform, including their unique IDs and current security scores, so you know what you're working with.

Can I check an API's score using `get_api`? +

Yes, get_api pulls the detailed metadata and security score for a specific API. It's useful when you know the API ID but need to verify its current standing.

What does `trigger_audit` do for an API definition? +

trigger_audit initiates a fresh static security audit on the API definition. It's the command you run when you know the specification has changed and needs a fresh security check.

How do I get a report of previous scans using `list_scans`? +

list_scans lists all historical dynamic conformance scans against a live API. Use this list to identify the scan you want, and then call get_scan_report for the full details.

Is `import_api` the right tool to start with? +

No. import_api only adds a definition. You should first use list_collections to confirm the target collection exists, and then proceed with the audit workflow.

How do I check the security score for all APIs using `list_apis`? +

The list_apis tool provides a summary of all definitions, including their unique ID and security score. It's great for quickly assessing the overall hygiene of a collection without running a full audit.

What is the purpose of the `get_collection` tool? +

The get_collection tool retrieves metadata and the aggregate security score for a specific API collection. Use it when you need to understand the overall security health of a group of APIs before diving into individual definitions.

When should I use `get_scan_report` versus `get_audit_report`? +

Use get_audit_report for static security checks on an OpenAPI spec. Conversely, get_scan_report pulls detailed results from a dynamic conformance scan, showing actual usage patterns and implementation flaws.

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.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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