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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AWS Neptune with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Deterministic sizing for AWS Neptune graph databases.

Included with plan

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

Complete set · 3 capabilities

The complete AWS Neptune capability set.

These are the exact actions your AI can choose when you ask it to work with AWS Neptune.

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

Observed, not estimated

781ms average. Fast in production.

AWS Neptune is checked daily against the live service.

Daily averagePeak 929ms
Aug 20Today
Fastest day
639ms
Slowest day
929ms
14-day trend
Slowing+15%

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

FAQ

Questions AWS Neptune owners ask.

  • 01

    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.

  • 02

    What does the memory requirement represent?

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

  • 03

    Can I get recommended configuration settings?

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

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