An astronaut overseeing a futuristic data hub

Connect AWS Solutions Architect Prover 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. Stops expensive cloud mistakes before they hit production.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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 · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through AWS Solutions Architect Prover.

  1. 01

    Validate aws architecture

    The order is non-negotiable. most AWS failures come from executing these steps out of sequence. You must: (1) QUANTIFY REQUIREMENTS. extract concrete numbers. RPS peak and sustained, p50/p95/p99 latency in ms, availability SLO as 9s (99.9%, 99.95%, 99.99%), RTO in minutes, RPO in minutes, data volume in GB and growth rate, user count, compliance scope (PCI-DSS, HIPAA, SOC2). "Scalable" and "high-performance" are marketing words, not requirements, (2) MAP BLAST RADIUS. name what fails at every AWS scope level. AZ failure: how does the workload survive one AZ going dark? Region failure: what is the multi-region strategy and does the SLO justify it? Account failure: is production isolated in a dedicated account for blast radius bounding? Service failure: what happens when SQS is throttled or KMS is unavailable? "AWS handles it" is not a map, (3) MINIMIZE SERVICES. the best AWS service is no AWS service. For every service in your architecture, name the AWS alternative you REJECTED and the concrete reason. Fargate over EKS (control plane cost, ops burden), SQS over Kinesis (no replay > 24h need), Aurora over DynamoDB (relational needs). Reject Kafka on MSK unless you can name the ordering guarantee, throughput, or ecosystem capability that SQS cannot provide, (4) CALCULATE REAL TCO. itemize the AWS invoice. Compute + storage + NAT Gateway ($32/mo + $0.045/GB) + cross-AZ transfer ($0.01/GB) + egress ($0.09/GB) + VPC endpoints ($22/mo per endpoint per AZ) + PIOPS + CloudWatch + support tier + ops burden in engineer-hours. "Serverless is cheap" is a slogan. At sustained load, Lambda + API Gateway + DynamoDB frequently exceeds Fargate + ALB + Aurora by 2-3x, (5) DESIGN SECURITY IN. Day 0, not Day 90. IAM roles for compute (never access keys), policies scoped to specific ARNs (never Resource: ""), aws:PrincipalTag and aws:ResourceTag condition keys, KMS CMK per data domain with rotation, S3 Block Public Access on every bucket, VPC endpoints for AWS service traffic, GuardDuty + Config + CloudTrail + Security Hub enabled on Day 0, Secrets Manager with automatic rotation, compliance conformance packs where scoped. If rejected, you violated the Algorithm sequence. Structured reflection capability that forces execution of the 5-Step AWS Well-Architected Algorithm before validating any AWS cloud architecture decision. The algorithm must be executed IN ORDER. skipping steps is the most common failure. Catches Requirement Hallucination (accepting vague terms like "scalable", "high performance", "cloud-native" without extracting concrete SLIs, SLOs, RTO, or RPO. a senior architect never chooses a service before quantifying the numbers), Blast Radius Ignorance (proposing multi-region for a 200-user internal capability or single-AZ for a payment system. multi-AZ meets 99.95%, multi-region needs a business case like data residency or 99.99%+ SLO. "AWS handles it" is not a failure domain analysis), Service Sprawl (stacking Kinesis + MSK + EventBridge + SQS + SNS in the same architecture because the LLM cannot decide. a senior architect picks ONE messaging primitive matching volume, ordering, retention, and consumer model; ONE compute abstraction ordered from least operational burden (App Runner, Fargate) to most (EKS)), Cost Hallucination (calling Lambda "cheap" while ignoring API Gateway $3.50/M requests, DynamoDB WCU/RCU, VPC endpoints $22/mo per AZ, NAT Gateway $32/mo + $0.045/GB, cross-AZ $0.01/GB, egress $0.09/GB, and support tier. the TCO is the invoice, not the compute bill), and Security Afterthought (writing Resource: "", using access keys instead of IAM roles, deferring MFA and encryption to "later". Day 0 is when least-privilege IAM, KMS CMK rotation, VPC endpoints, GuardDuty, Config, and CloudTrail must exist, not Day 90). Call once per major AWS architectural decision

Real work

What teams actually run

01

Reviewing New Microservices

Before deploying a new service, run the design through the MCP to confirm the service choice (e.g., SQS vs. Kinesis) is optimal for volume and ordering needs.

02

Cost Optimization Audit

Test a current architecture to find hidden costs, such as VPC endpoints or cross-AZ data transfers, that are inflating the monthly bill.

03

Compliance Check

Validate designs for regulated industries by ensuring all security controls, like KMS CMK rotation and Block Public Access, are included from day one.

04

Comparing Architectures

Compare two different proposed stacks (e.g., Lambda vs. Fargate) to get a defensible, itemized TCO for both options.

One connector, every AI

AWS Solutions Architect Prover 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.

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

You don't need a client to put AWS Solutions Architect Prover 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

932ms average. Fast in production.

AWS Solutions Architect Prover is checked daily against the live service.

Daily averagePeak 1192ms
Oct 3Today
Fastest day
701ms
Slowest day
1192ms
14-day trend
Improving-14%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 Solutions Architect Prover, so you can see the experience inside your AI.

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

AWS Solutions Architect Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_rYl1Jzic0L6ltphpeZqZTQw1KfvxuENsIWqwqZJ3/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 Solutions Architect Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "aws-solutions-architect-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_rYl1Jzic0L6ltphpeZqZTQw1KfvxuENsIWqwqZJ3/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 Solutions Architect Prover in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AWS Solutions Architect Prover owners hand off.

This MCP is essential for CTOs, Engineering VPs, and Platform teams who cannot afford unexpected AWS overspend or security breaches. If your team ships AI-generated cloud designs, this capability ensures that every proposal survives a rigorous, senior-level review before it ever reaches a customer or production environment.

  • 01

    CTOs and Engineering VPs

    Need to prevent unexpected AWS bills and ensure junior engineers don't ship un-defendable architectures.

  • 02

    Cloud and Platform Teams

    Use it to validate AI-generated Terraform and cloud designs, ensuring they meet strict SLOs and cost controls.

  • 03

    Startup Founders

    Need disciplined architecture (like Fargate + RDS) without the complexity or cost of over-engineered solutions.

  • 04

    Regulated Industries

    Must pass compliance checks (HIPAA, PCI-DSS) by ensuring IAM misconfiguration is addressed at design time.

FAQ

Questions AWS Solutions Architect Prover owners ask.

  • 01

    How much AWS spend can this typically save?

    The senior SA persona targets the five most expensive AWS mistakes: idle NAT Gateways ($32/mo each, often 3-6 in a VPC), forgotten cross-AZ transfer at scale, egress that quietly ranges from $500 to $50,000/mo, VPC endpoints omitted so every S3 call goes through NAT, and EKS control planes chosen where Fargate would suffice ($73/mo per cluster). Teams that put this review in front of every design typically recover 20-40% of AWS spend inside 90 days. The savings scale with the size of the AWS footprint.

  • 02

    Is this a replacement for AWS Trusted Advisor or Well-Architected Capability?

    No. those capabilities inspect deployed infrastructure. This Prover reviews the architecture BEFORE you deploy, at the design and reasoning stage where an AI just produced the plan. Trusted Advisor finds the idle NAT Gateway after it has cost you $384/year. The senior SA persona in this MCP catches it in the design conversation, before the CDK template is written. The two are complementary: this is your Day 0 review, Trusted Advisor is your Day 90 audit.

  • 03

    Does this need AWS credentials or access to my account?

    No. The senior SA persona works purely at the reasoning level. reviewing the design, the tradeoffs, and the justifications your AI produces. It never authenticates against AWS, never reads your account, never touches your infrastructure. There is nothing to configure and no attack surface to worry about. Approve it once, use it forever.

  • 04

    What does the senior SA actually reject?

    The five patterns that show up in every junior AWS review: (1) marketing words as requirements. 'scalable', 'high performance', 'cloud-native' with no RPS, no p99, no SLO; (2) multi-region as a default instead of a decision earned by 99.99%+ SLO or data residency; (3) service sprawl. Kinesis + MSK + EventBridge stacked because the AI could not commit; (4) 'serverless is cheap' as an argument without API Gateway, DynamoDB, VPC endpoint, and NAT Gateway line items; (5) Resource: "*", access keys, and 'we will lock it down later'. Every rejection names the exact gate and the concrete fix.

  • 05

    How does the senior SA compare to the CTO Architect Prover?

    The CTO Architect Prover is cloud-agnostic. stack fitness, failure tolerance, migration safety, and observability at any provider or on-prem. The AWS Solutions Architect Prover is AWS-native. it knows the specific pricing of NAT Gateway, the shape of IAM policies, when EKS beats Fargate, and where Aurora Serverless v2 beats DynamoDB. Use the CTO Prover to decide whether you should be on AWS at all. Use this Prover once you are.

Connect AWS Solutions Architect Prover to Claude, Cursor, ChatGPT & more