FlawPilot MCP Server & API - Coming Next Week

Quick answer: FlawPilot's MCP server and public API launch next week. The MCP server lets AI coding tools like Claude Code and Cursor run a FlawPilot scan and pull back real security, performance, infrastructure, and SEO scores mid-session, without anyone leaving the chat. The API lets you trigger scans and fetch JSON reports directly, with a webhook when a scan finishes.

Jump to: what's launching, what MCP actually is, what the MCP server does, using it in Bolt, Lovable, and Replit, what the API does, why it matters, and FAQ.

What's launching next week

Two things, both aimed at the same problem: a security scan is only useful if it happens at the moment you'd actually act on it, not three tabs and a context switch later.

The MCP server connects FlawPilot to any AI coding tool that speaks the Model Context Protocol, Claude Code, Cursor, and others. Instead of finishing a build and remembering to go run a scan on flawpilot.com, you (or your agent) can trigger the scan from inside the tool you're already using.

The public API does the same job for anyone who wants FlawPilot in a pipeline instead of a chat window: kick off a scan with a request, pull back the report as JSON, and get a webhook the moment it's done.

Exact endpoint details, rate limits, and access tiers will go out with the launch itself. This post is the heads-up, not the full technical spec.

What is MCP, and why does a security scanner need one

Model Context Protocol (MCP) is an open standard, introduced by Anthropic, that lets AI tools connect directly to external services and act on real data instead of guessing from training knowledge. It's the difference between an AI assistant that can describe what a security header does and one that can actually check whether yours has it, by calling a real tool and getting a real answer back.

For a scanner like FlawPilot, that matters more than it might for most integrations. Nobody's information about their own app is in an AI model's training data. The only way an AI coding tool can tell you anything true about your app's security posture is by asking something that's actually looked, which is exactly what MCP is for.

What you'll be able to do with the FlawPilot MCP server

The core workflow: ask your AI coding tool to check the security of the app you're working on, and it calls FlawPilot behind the scenes and hands the results straight back into your conversation, scores and findings included.

That closes a gap the whole point of this blog series has been circling: AI coding tools are extremely good at making something work, and they have no built-in way to tell you whether it's safe. An MCP connection doesn't change what the tools generate. It gives them a way to check afterward, in the same window, without you opening a browser tab.

In practice, that's as simple as typing something like "Scan my app's security with FlawPilot" into the chat you're already working in. The tool calls FlawPilot's MCP server against your app's live URL, and the scorecard, security, performance, infrastructure, SEO, along with the ranked list of findings, comes back inline, in the same conversation. No new tab, no copying a URL into a separate form, no leaving the app to find out what's wrong with it.

Using it inside Bolt, Lovable, and Replit

Bolt, Lovable, and Replit are the three platforms this series keeps coming back to, and all three already let you attach a custom MCP server today, which means none of this waits on a platform update once FlawPilot's server is live.

In Bolt, MCP servers are added through Bolt's connectors panel, the same place you'd already connect Notion, Linear, or GitHub. Once FlawPilot's server URL is public, adding it there means you can ask Bolt's chat, right where you're already building, to scan your deployed app's security, and it calls FlawPilot and hands you the scorecard without opening anything else.

In Lovable, the chat surface has a dedicated "New MCP server" entry in its connectors panel, separate from Lovable's own first-party MCP server. Add FlawPilot there, and you can ask directly in the Lovable chat to check your live app's security, with the scores and findings coming back as part of that same conversation.

In Replit, it's the Integrations pane: Add MCP Server, paste in the server URL, and Replit Agent can call it alongside whatever else you've already connected. From there, asking Replit Agent to scan your app's security runs the check against your live URL and reports back inline, no separate scanner tab required.

The exact server URL and setup steps ship with the launch itself. This is what the connection point looks like on each platform, today, so there's nothing to wait on except FlawPilot's side.

What you'll be able to do with the FlawPilot API

The API version of the same idea, aimed at teams who want scanning built into something automated rather than triggered by a person:

• Trigger a scan with a request instead of the web form, useful anywhere you want scanning to happen on a schedule or a deploy, not just when someone remembers.
• Fetch the report as JSON, scores and findings both, so the data can feed a dashboard, a Slack summary, or your own internal tooling instead of a webpage.
• Get a webhook when a scan completes, so a CI pipeline, a bot, or a teammate finds out the moment there's something to look at, instead of someone having to go check.

Why this matters if you build with AI tools

Every post in this series so far has made some version of the same point: tools like Lovable, Bolt.new, v0, and Cursor generate code that works, and "works" and "secure" get checked by two different people, if the second person shows up at all. The MCP server and API don't change that finding. They shorten the distance between finding it and doing something about it.

Right now, closing that gap means remembering FlawPilot exists, opening a new tab, and pasting in a URL. After next week, for anyone using an MCP-compatible AI coding tool, it can mean asking the tool you're already talking to. That's a small change in mechanics and a real change in whether the check actually happens.

Get notified when it's live

We'll announce the exact launch details, including how to connect the MCP server and get an API key, right here and across our social channels next week.

Keep an eye on flawpilot.com →

What is an MCP server?

It's a server that speaks the Model Context Protocol, an open standard that lets AI tools like Claude and Cursor call out to a real external service and get real data back, instead of only working from what the model already knows.

Do I need to change my code to use FlawPilot's MCP server?

No. Connecting an MCP server is a configuration step in your AI coding tool, not a change to your app. Once it's connected, you can ask the tool to run a FlawPilot scan the same way you'd ask it anything else.

Will this replace the free web scanner at flawpilot.com?

No. The web scanner stays exactly as it is, no login, drop in a URL, get a report in about two minutes. The MCP server and API are additional ways to reach the same scanning engine, not a replacement for the simplest one.

Is the API free to use?

Access details, including any free tier and rate limits, are being finalized for the launch. We'll spell out pricing and limits when it goes live rather than guess at them here.

Which AI coding tools will work with the MCP server?

Any tool that supports the Model Context Protocol. That already includes Claude Code, Cursor, Bolt, Lovable, and Replit, all of which let you connect a custom MCP server today, with more tools adopting the standard over time.

When exactly does this launch?

Next week. We'll publish the exact day, along with setup instructions, as part of the launch itself.