Appknox MCP: Find, Fix and Verify Mobile App Vulnerabilities Without Leaving Your IDE

Appknox MCP agent connects your AI coding agent to your Appknox scan results and KnoxIQ analysis. Your agent triages findings by exploitability, fixes the code in your repo and verifies each fix with a re-scan, inside Claude Code, Cursor, GitHub Copilot, Codex or Windsurf.

Your AI coding agent already writes features, refactors code and fixes bugs. It can't see your security findings.

So when a scan flags a vulnerability in your mobile app, the fix still starts by hand. You copy the finding out of a report, track down the vulnerable code yourself, and wait for another scan to learn whether the fix held.

Appknox MCP closes that gap. It connects your agent directly to your Appknox scan results and KnoxIQ analysis. The agent picks up the most exploitable findings first, fixes them in your code and confirms each fix with a real Appknox re-scan. The whole loop runs inside the editor you already work in, as part of your release cycle. You decide what gets committed.

Why mobile app fixes stall between the scanner and the Dev Environment

Scanners find issues in one place. Developers fix them in another: the codebase. Every finding has to be carried across by hand, and that handoff slows remediation in four ways.

Context switching. A finding usually arrives as a PDF report, a Jira ticket or an entry in a security tool's web console. Someone has to turn it into a code change: find the vulnerable class, manifest entry or API call, then check where else the same pattern appears. Every jump between the security tool, the issue tracker and the IDE breaks focus.

No view of exploitability. Most scanners rank findings by severity or CVSS score. Severity tells you how bad an issue could be, not whether an attacker can exploit it in your build. Without that, teams spend sprints on high-severity findings that carry little real risk, while exploitable medium-risk issues wait.

Fixes that break something else. A security fix is still a code change. Changing a base activity, tightening a network security config or removing an exported component can break a screen, a test or a dependency. Developers need to see exactly what a fix touches before it ships.

Slow verification. The only way to confirm a fix worked is to rebuild the APK or IPA, upload it again and wait for a new scan. Many teams skip this step. The finding gets marked fixed without proof, and the vulnerability may come back in the next release.

AI coding agents have made writing and updating code faster. But an agent is only as good as the context it gets. Without the findings, the exploitability data and a way to re-test, it can't close the risk.

What is Appknox MCP and how does it help AI coding agents fix mobile app vulnerabilities?

We built Appknox MCP agent to bring our security findings to the place where fixes actually happen: your editor. It connects your AI coding agent to Appknox through the Model Context Protocol (MCP), the open standard AI agents use to work with outside tools.

It isn't tied to one tool. knox MCP works with any MCP-capable agent, and we've verified it with Claude Code, Codex, GitHub Copilot, Cursor and Windsurf.

There's also nothing to host. The server runs on your own machine. Your app's code stays in your project folder, and the MCP talks to Appknox only over HTTPS. We receive a binary only when you ask for an upload.

How Appknox MCP triages, fixes and verifies vulnerabilities from your IDE

Appknox MCP runs one loop. Your agent does the work in your editor. Appknox decides whether the fix is real.

1. Resolve the build. The agent finds the latest scanned build of your app on Appknox and confirms the exact build with you before it starts. It never picks one silently.
2. Triage by exploitability. The agent lists the findings KnoxIQ has analysed, sorted by how exploitable they are, not just how severe they look. You pick what to fix: one finding, everything high, or everything highly exploitable.
3. Fix in your repo. For each finding, KnoxIQ supplies a fix plan with a developer prompt and a PoC. The agent reads your code, makes the change and leaves it in your working tree.
4. Check the PoC. The agent runs the PoC locally where it can. That gives you confidence, not proof.
5. Upload the new build. The agent uploads your rebuilt APK or IPA, which starts a fresh Appknox scan.
6. Verify with a re-scan. The agent compares the new scan with the old one and reports what's resolved and what's still open. Anything still open goes back to step 3.

In Claude Code, four shortcuts cover the whole loop:

In Cursor, Copilot, Codex or Windsurf, ask in plain English: "Find and fix the Appknox vulnerabilities in this repo." The same workflow is built into the server.

What it looks like in practice. In an internal demo, we ran /appknox:triage on a sample Android app. KnoxIQ flagged a high-severity screen-capture issue (CWE-200): none of the app's five activities set FLAG_SECURE, so other apps could record or screenshot sensitive screens. The agent traced the root cause, added a secure base activity that sets the flag, moved the affected screens onto it, and handed back a PoC to confirm on a device: record the screen, and it should come back black. It didn't build, upload or commit anything on its own. The next step was ours: /appknox:upload, then /appknox:verify.

Built so you stay in control

Putting an AI agent near security fixes raises fair questions. These are the limits we built in:

• Nothing is committed for you. Fixes are staged in your working tree. You review the diff and decide what ships.
• No silent choices. The agent confirms which build it's working on before it starts.
• No false all-clear. If KnoxIQ analysis isn't ready, the agent tells you and stops. An empty list never means "no vulnerabilities."
• The re-scan decides. A local PoC check gives confidence. The Appknox re-scan is the proof.
• Scoped access. The MCP uses an Appknox service account. You choose its permissions and which projects it can see.
• Your code stays local. The server runs on your machine. Only the binaries you choose to upload leave it.

Get started in a few minutes

You need two things: KnoxIQ enabled for your organisation, and a build scanned after KnoxIQ was turned on.

1. Create a service account. An Owner on your Appknox account opens Organization Settings, then Service Accounts. Grant read access to Projects and Scan Results, and write access to Upload App. Copy the access key ID and secret.
2. Install the MCP. The easiest way is to ask your agent. Paste this into Claude Code, Cursor or Codex:
   

   Install the appknox-mcp MCP server for me:

   1. uv tool install --reinstall appknox-mcp

   2. Run appknox-mcp --install-guide and follow it exactly.
   

   
   The agent installs the server, asks for your credentials, writes the config and tells you to restart.

1. Restart your editor so it loads the server.
2. Run your first loop. In Claude Code, type /appknox:triage. Anywhere else, ask: "Find and fix the Appknox vulnerabilities in this repo."

Full setup steps for every client are in the appknox-mcp GitHub repo.

Your scanner already knows what's wrong. Now your agent can fix it.

Already on KnoxIQ? Install Appknox MCP and run it on your latest build today.

New to Appknox? Book a demo to see the full loop on your own app.