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Connect Guardduty Findings Calculator to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get precise AWS security projections and resource requirements.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through AWS GuardDuty.

  1. 01

    Calculate finding projections

    This capability estimates your total finding counts and how they split across severity levels based on your event throughput.

  2. 02

    Calculate governance recommendations

    This capability provides administrative guidelines for managing your account scale, including suppression rules and archive periods.

  3. 03

    Calculate infrastructure requirements

    Use this to find the specific breakdown of detection sources and the resource overhead needed for runtime monitoring.

Real work

What teams actually run

01

Capacity Planning

Calculate the expected finding volume before scaling your AWS environment.

02

Infrastructure Sizing

Determine the exact memory needed for EKS agents during runtime monitoring.

03

Security Governance

Set suppression rules and archive periods based on calculated recommendations.

04

Operational Staffing

Determine how many administrators are needed to manage a specific number of AWS accounts.

One connector, every AI

AWS GuardDuty works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put AWS GuardDuty to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

849ms average. Fast in production.

AWS GuardDuty is checked daily against the live service.

Daily averagePeak 1052ms
Oct 3Today
Fastest day
632ms
Slowest day
1052ms
14-day trend
Improving-8%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AWS GuardDuty, so you can see the experience inside your AI.

It does not authenticate your account with AWS GuardDuty. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AWS GuardDuty Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_NNZYcG73iikH6K8VNvwq3ReIp4uBIn5fOUpW31ze/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — AWS GuardDuty capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "guardduty-findings-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_NNZYcG73iikH6K8VNvwq3ReIp4uBIn5fOUpW31ze/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up AWS GuardDuty in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AWS GuardDuty owners hand off.

Cloud security professionals and platform engineers use this to move from estimation to precision.

  • 01

    Cloud Security Engineer

    Hands off finding volume projections and governance rules to the AI.

  • 02

    DevOps Engineer

    Uses the capability to plan resource overhead for EKS and ECS Fargate.

  • 03

    Security Architect

    Delegates infrastructure requirement calculations and staffing needs to the agent.

FAQ

Questions AWS GuardDuty owners ask.

  • 01

    How does this MCP calculate finding volumes?

    It uses the calculate_finding_projections capability to estimate total findings and severity distributions based on your event throughput.

  • 02

    Can I use this to plan EKS monitoring?

    Yes, the calculate_infrastructure_requirements capability determines the specific resource overhead for EKS and ECS Fargate runtime monitoring.

  • 03

    Does it help with AWS account management?

    Yes, it provides administrative guidelines for suppression rules, archive periods, and administrator staffing via the calculate_governance_recommendations capability.

  • 04

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after you connect.

  • 06

    How do I estimate my daily finding volume?

    You can use the calculate_finding_projections capability. Provide the total number of AWS accounts and the estimated average number of raw log events processed per second.

  • 07

    Does runtime monitoring add resource overhead?

    Yes. For EKS, the calculate_infrastructure_requirements capability calculates a 100 MB memory overhead per node. For ECS Fargate, it flags the sidecar container overhead.

  • 08

    What are the recommended governance settings?

    The calculate_governance_recommendations capability suggests up to 100 suppression rules and a 90-day archive period based on your account count.

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