Sign up, paste your MCP server’s GitHub repo URL, pick a scan profile, and review the auto-generated report.

Audn AI Security

Audn AI Security is a scanner built for Model Context Protocol (MCP) servers. It pinpoints vulnerabilities before AI agents talk to external tools, keeping the whole workflow safe.

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Features of Audn AI Security

Detects injection flaws and risky configs in MCP servers.

Scans self-hosted MCP servers behind your firewall.

Checks TLS setup, open ports and other network hardening settings.

Exports audit logs for continuous monitoring and compliance.

Turns scan results into clear reports with fix instructions.

Starts a code-level scan by simply pasting a GitHub repo URL.

Use Cases of Audn AI Security

Developers vet MCP servers for vulnerabilities before shipping.

Sysadmins run scheduled health scans on live MCP endpoints.

Security teams audit AI-agent workflows at the protocol layer.

Compliance officers verify that MCP components meet policy.

Engineers confirm that a patched MCP server is actually secure.

FAQ about Audn AI Security

QWhat is Audn AI Security?

It’s a purpose-built scanner that finds security holes in Model Context Protocol (MCP) servers so AI agents can call tools without exposing your stack.

QWhich vulnerabilities does it catch?

Command or code injection, tool-poisoning attacks, misconfigurations, and any environment-level weaknesses in MCP servers.

QHow do I run a scan?

QCan it scan on-prem servers?

Yes—Audn fully supports private, self-hosted MCP servers.

QWho is the tool for?

MCP developers, DevOps admins, and security engineers who need to secure AI-agent tool chains.

QWhat’s inside the scan report?

Each report lists found issues, ranks them by risk, and gives step-by-step remediation tips.

QHow is Audn different from generic scanners?

It zeroes in on the Model Context Protocol layer instead of running broad, non-specific tests.

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