An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Aws Neptune Sizing 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, deterministic estimates for graph database deployment.

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 · 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 Neptune.

  1. 01

    Calculate storage needs

    Determines the total storage footprint and the necessary memory overhead for the database

  2. 02

    Estimate cluster configuration

    Recommends the instance scaling, replication, and operational settings for the cluster

  3. 03

    Evaluate performance benchmarks

    Provides reference values for workload performance and query sizing

Real work

What teams actually run

01

New Project Planning

Before starting a new graph application, you input the expected number of nodes and edges to get a baseline storage requirement.

02

Scaling Existing Systems

When your user base grows, you use the MCP to predict the necessary increase in memory and compute capacity.

03

High Availability Setup

You determine the correct replica count and snapshot retention period needed for disaster recovery.

04

Performance Tuning

You test potential query loads against the benchmarks to ensure the cluster can handle peak traffic.

One connector, every AI

AWS Neptune 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 Neptune 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

846ms average. Fast in production.

AWS Neptune is checked daily against the live service.

Daily averagePeak 1029ms
Oct 5Today
Fastest day
625ms
Slowest day
1029ms
14-day trend
Improving-19%

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 Neptune, so you can see the experience inside your AI.

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

AWS Neptune Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_wqGhTCneMVhV8ztmHyxUELK6OQC1ZpRC4vzHRD8S/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 Neptune capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "aws-neptune-sizing-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_wqGhTCneMVhV8ztmHyxUELK6OQC1ZpRC4vzHRD8S/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 Neptune in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AWS Neptune owners hand off.

This MCP is essential for Data Architects and DevOps Engineers who need to provision Neptune clusters. If you're building a complex graph application, you need accurate sizing before deployment. You hand off your expected graph metrics and workload parameters to your AI client, and it returns the precise AWS configuration needed.

  • 01

    Data Architect

    Determines the optimal structure and size of the Neptune graph database.

  • 02

    DevOps Engineer

    Uses the output to configure AWS infrastructure and ensure high availability.

  • 03

    Solutions Engineer

    Calculates resource needs to provide accurate cost and performance estimates to clients.

FAQ

Questions AWS Neptune owners ask.

  • 01

    What kind of data does this MCP calculate?

    It calculates deterministic sizing estimates for AWS Neptune. Specifically, it determines the total storage footprint, necessary memory overhead, and optimal cluster configuration settings.

  • 02

    Does this help with cost estimation?

    Yes. By providing precise storage and memory requirements, you can accurately size your cluster, preventing costly over-provisioning of AWS resources.

  • 03

    Can I use this for performance testing?

    The MCP includes a capability to evaluate performance benchmarks. This gives you reference values for workload performance, including query sizing and bulk loader throughput.

  • 04

    What information is needed for the calculation?

    You must provide the graph metrics, such as the number of vertices and edges, along with details about properties per vertex and edge.

  • 05

    Is this only for AWS Neptune?

    This MCP is designed specifically for AWS Neptune graph database deployments, providing estimates tailored to its architecture.

  • 06

    How is the storage requirement calculated?

    Storage is calculated by summing the total size of all vertices and edges, where each unit is weighted by its property count.

  • 07

    What does the memory requirement represent?

    The memory requirement is double the storage estimation to account for indexing and active query processing overhead.

  • 08

    Can I get recommended configuration settings?

    Yes, using estimate_cluster_configuration provides recommended replica counts and database parameter group settings.

Explore

More in Infrastructure

Suggestions

Connect AWS Neptune to Claude, Cursor, ChatGPT & more