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
Waiting for input…
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.
Connector Orchestration: 3 Connectors, one intelligent agent
Connect 42Crunch, HackerOne and Linear Connectors 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 Connector
Convert any internal API into a Connector. 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 each 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 5,800+ servers whenever you need
- Connections are secured and compliant by default
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added weekly
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 5,800+ Connectors and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across all tools, in one conversation. That's what this connectivity layer 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 all platforms.
Contextual Reasoning
Each 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 Connectors once, and your agent handles the rest. Each time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius AI Connectors 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 Connector Orchestration
Which Connectors 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 Connectors 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?
Connectors 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.
Find Codebase Duplications Using Connectors
Your codebase has 4 different implementations of date formatting, 3 versions of the retry logic, and 2 competing validation libraries , but nobody knows because grep only finds exact matches and these duplicates are semantic
How Connectors Auto-Triage Bug Reports
New bugs detected, severity classified, sprint tickets created, team notified , triage your backlog without a standup
MCP Recipe to Fix Production Crashes Faster
Your app crashed 847 times yesterday and the error report sits in Honeybadger while your Linear board has no idea , the engineer who wrote the broken code merged a different PR today
MCP Recipe to Kill Codebase Bloat
Codebase audited, bloat identified, requirements questioned, lean tickets created , kill architectural complexity before it ships
Connectors 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
Connectors for Sprint Report Generation
Sprint reports that write themselves , issues, PRs and velocity stats in one sheet
Connectors used in this workflow
42Crunch
42Crunch MCP lets you manage your API security lifecycle through your AI agent. You can import OpenAPI specs, trigger security audits, and check conformance scans without leaving your workspace. It pulls real-time security scores and detailed risk reports directly into your conversation.
HackerOne
HackerOne MCP lets you manage bug bounty reports and security programs directly from your AI agent. You can triage vulnerabilities, award bounties, and monitor your hacktivity feed without switching tabs. It connects your organization's security data to your workflow for faster response times.
Linear
Linear MCP lets your AI agent manage your project boards, sprints, and issue tracking without you having to switch tabs. It handles everything from creating tickets and assigning priorities to checking cycle progress and querying team data.