Find API Vulnerabilities First Using MCP.
Your OpenAPI spec has 14 security findings and 3 match active HackerOne reports , your agent creates the tickets before the bounty payout
Works with every AI agent you already use
…and any MCP-compatible client
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Gemini How It Works
Your AI agent runs your OpenAPI specifications through 42Crunch , it checks for OWASP API Security Top 10 violations: broken authentication, excessive data exposure, lack of rate limiting, injection risks, missing input validation.
Each finding gets a severity score and a specific location in the spec. Then the agent queries HackerOne for active reports against your program , is anyone already reporting these same patterns? A 42Crunch finding for 'missing authentication on GET /api/users/{id}' and a HackerOne report titled 'IDOR on user endpoint , can enumerate all users' are the same vulnerability from two different angles.
The agent creates a Linear ticket with both sources: '42Crunch: missing auth on GET /api/users/{id}. HackerOne: active report #1847 , IDOR confirmed by researcher.
Priority: URGENT. Fix: add authentication middleware + rate limiting.' The engineer gets a ticket with the vulnerability, the proof, and the fix direction.
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect 42Crunch, HackerOne and Linear MCP servers so your AI agent audits your API specifications for security vulnerabilities, correlates findings with active bug bounty reports from HackerOne, and creates prioritized engineering tickets in Linear. API teams shipping endpoints without security reviews who discover OWASP violations after a researcher files a bounty report now get the findings before the report arrives.
42crunch
triggerAudits OpenAPI specs for OWASP API Security Top 10 violations
trigger_audit get_audit_report list_apis get_scan_report Hackerone
enrichmentPulls active bug bounty reports to correlate with spec findings
list_reports get_report list_programs get_program Linear
actionCreates prioritized security fix tickets with full context
create_issue list_issues update_issue list_teams Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own MCP
Turn any internal API into an MCP server. 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
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- 42crunch, Hackerone & Linear ready in the catalog right now
- Add more from 4,700+ servers whenever you need
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added every week
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 4,700+ MCP servers and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across every tool, in one conversation. That's what this infrastructure was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across every platform.
Contextual Reasoning
Every decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your MCP servers once, and your agent handles the rest. Every time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius MCP catalog to handle these for you. You describe what you need. It does the rest.
API teams that ship endpoints without formal security reviews and discover OWASP violations in production
Security teams managing a HackerOne bug bounty program who want to find vulnerabilities internally before researchers do
Engineering managers who need security findings converted directly into prioritized Linear tickets without manual triage
Fintech and healthtech companies that need documented API security audits for SOC 2 and HIPAA compliance
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need for this workflow?
Three: 42Crunch, HackerOne and Linear. Connect all three to your AI client before running any prompt from this page.
Does this work with Claude Desktop, Cursor or Windsurf?
Yes. Any AI client that supports the Model Context Protocol works , Claude Desktop, Cursor, Windsurf, Cline and others. Connect the MCP servers and paste a prompt.
Do I need an active HackerOne program?
No. The 42Crunch audit and Linear ticket creation work without HackerOne. The bug bounty correlation is a bonus , it shows which findings are already being exploited.
What OpenAPI spec formats are supported?
42Crunch supports OpenAPI 2.0 (Swagger) and OpenAPI 3.x in JSON or YAML. Upload your spec or point to a URL.
Is my API specification data secure?
MCP servers authenticate through API keys. Your spec stays in 42Crunch. HackerOne reports are in your program. Linear tickets are in your workspace. Vinkius does not store your API data.
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MCP Servers for Multi-Client Sprint Management
Your dev team tracks their work in Linear but the PM reports to clients in ClickUp , which means every sprint update is manually transcribed between two tools, and by the time the client sees it in ClickUp the data is already outdated
MCP Servers for Sprint Report Generation
Sprint reports that write themselves , issues, PRs and velocity stats in one sheet
MCP servers used in this workflow
42Crunch
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.
HackerOne
HackerOne MCP Server manages your entire bug bounty and vulnerability program lifecycle. Connect your organization account to your AI agent to track reports, update statuses, award bounties, and monitor payments without switching tabs. You can list all vulnerability reports, check program scope, and manage financial history directly from your chat window.
Linear
Linear lets your AI client read, write, and manage issues directly inside Linear—no tab switching needed. You can list all teams, search for specific bugs, create new tasks with defined priorities, or add comments right from your IDE. It gives your agent full control over project metadata, allowing you to check sprint progress, view project scope, and audit issue status using natural conversation.