How to connect an MCP security tool to your AI editor
Set up Hi AUDIT through your account, connect a compatible MCP client, and check the analysis workflow before sharing a sensitive repository.
Deeper, more reliable security reviews for frontier AI. Hi AUDIT supports AI with specialized security checks and the latest vulnerability intelligence, providing precise guidance from risk discovery to remediation.
One MCP install · Never update local tooling again
SQL injection via search param
src/api/orders.ts:64
JWT accepts unsigned tokens
src/auth/verify.ts:29
Known CVE in lodash
CVE-2026-1842 · package.json
Connect Hi AUDIT to your IDE. Detectors and CVE data stay current on our side. You never refresh a scanner.
Create or sign in to an account, open Projects, and follow the installation guide in your account to connect Hi AUDIT to your editor.
Ask for a security pass in plain language. The MCP server runs analysis without leaving your editor.
Every run uses the latest CVE feeds and vulnerability databases. No local rule-pack updates.
Apply suggested remediations and generate the report. Your tooling stays current without you.
In the provided CyberGym evaluation, Hi AUDIT achieved the highest score at 86.70%, outperforming every compared frontier cybersecurity model.
Hi AUDIT result
86.70%
Highest score in the provided CyberGym evaluation snapshot.
Swipe to compare →
| Benchmark | TECHFUND | OpenAI | Anthropic | |||
|---|---|---|---|---|---|---|
| Hi AUDIT | GPT-5.6-Sol | GPT-5.5-Cyber | Mythos 5 | Mythos Preview | Gemini 3.5 Flash Cyber | |
| CyberGym | 86.70% | 84.5% | 85.6% | 83.8% | 83.1% | 83.2% |
Source: CyberGym Leaderboard — Success Rate score.
Hi AUDIT combines multi-agent review with AI-guided evolutionary testing, then independently verifies the evidence before delivering an audit decision.
Role-based agents investigate risk from different perspectives before conclusions are combined.
Long-running GA Fuzzing research informs adaptive exploration of promising test paths and helps build stronger evidence.
Validated patterns and regression knowledge improve the quality of future audits.
MCP-native analysis, live CVE data, and current detectors. You stay in the editor. We keep the databases current.
A security tool that lives as an MCP server. Add it once to Cursor, Claude Code, or Windsurf.
Track untrusted data from request to sink across TS/JS, Python, Go, Rust, and Java.
No scanner upgrades, no stale rule packs. Detectors ship from the MCP server, not from your laptop.
CVE, NVD, GHSA, and OSV feeds stay synced. Every scan uses the latest vulnerability database.
Reentrancy, access control, and Anchor account checks for Solidity and Solana programs.
Exploit proof-of-concepts and audit-ready reports your clients can actually read.
Hi AUDIT meets your codebase where it lives. One MCP server keeps detectors, vulnerability databases, and exploit knowledge current across every language you ship.
MCP-native
Lives in your editor as an MCP server, not another CLI to babysit.
Live CVE sync
NVD, GHSA, and OSV feeds stay current on our side, every scan.
20+ languages
TypeScript, Go, Rust, Java, and COBOL to Solidity and Solana.
Hi AUDIT plugs into the editors and chains you already use. You don't maintain Semgrep, Slither, or CVE feeds. The MCP server does.
SQL injection via search param
orders.ts:64, tainted input reaches raw query
JWT accepts alg: none
auth.ts:29, algorithm not pinned
IDOR on invoice endpoint
invoices.ts:88, missing ownership check
Stack traces in error responses
middleware.ts:15, leaks internals in prod
Taint analysis tracks untrusted input from request handlers to SQL, shell, and template sinks across TypeScript, Python, Go, Java, and more. Findings map to live CVE and CWE data, so you are not maintaining a vuln database yourself.
See how it works →“Taint analysis traced a user-controlled input straight into a SQL sink. Saved our audit week.”
Diego Ramírez
Security Engineer
“We stopped maintaining our own CVE feed. Hi AUDIT already has the latest database when we scan.”
Priya Nair
AppSec Manager
“One curl command and `hiauditagent mcp add`. I haven't touched a scanner update since.”
André Costa
Full-stack Developer
“Hi AUDIT flagged a reentrancy path in our vault that two manual reviews missed. The PoC it drafted actually compiled and ran. That sold me.”
Maya Chen
Protocol Lead
“Ran it inside Cursor against our Solana programs. It caught a missing signer check on the first pass and explained exactly why it mattered.”
Tomasz Kowalski
Core Contributor
“False-positive triage is unreal. 400 findings down to 12 that actually mattered.”
Sarah Okafor
Lead Auditor
“We're a 40-year-old COBOL shop. Hi AUDIT is the first tool that mapped our copybooks and flagged an auth bypass in a batch settlement routine.”
James Whitfield
Mainframe Architect
“The audit-ready report went straight to our clients. Findings, severity, reproduction steps, formatted better than reports we paid five figures for.”
Lena Fischer
Boutique Audit Firm
“Asked it to validate an attack hypothesis on our lending pool. It walked the call graph, confirmed the path was guarded, and showed the invariant that protected it.”
Ravi Menon
DeFi Founder
How Hi AUDIT connects to your assistant, stays current, and fits your workflow.
MCP (Model Context Protocol) connects AI assistants to tools. Hi AUDIT runs as an MCP security server, so your assistant can analyze code, review findings, and generate reports from your development workflow.
Explore the productYes. Install Hi AUDIT Agent and register it as an MCP server. The setup detects Cursor, Claude Code, and Windsurf configurations. Open your repository and ask your assistant for a security review.
Read the installation guideHi AUDIT maintains detectors, CVE feeds, and vulnerability databases on the service side. You connect the MCP server once and use current security checks without maintaining local scanner rules. Every plan includes current detectors and live CVE data.
Compare plansCreate an account or sign in on app.hiaudit.io, then follow the installation guide in your account to connect Hi AUDIT Agent. Manage projects in Projects and view saved results in Audits.
Get started with WebMCPConnect your editor, review findings, and choose the right security tools.
Set up Hi AUDIT through your account, connect a compatible MCP client, and check the analysis workflow before sharing a sensitive repository.
Turn a scanner finding into a review decision using evidence, reachability, impact, ownership, and validation of the proposed fix.
Evaluate security tooling by code coverage, evidence quality, data handling, integration, and the work needed to review and validate results.
Create or sign in to an account, open Projects, and follow the installation guide in your account to connect Hi AUDIT to your editor.