ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Vector TCO Calculator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate the total cost of ownership for vector databases, comparing managed vs self-hosted models.

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 · 4 capabilities

The complete Vector TCO Calculator capability set.

These are the exact actions your AI can choose when you ask it to work with Vector TCO Calculator.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Vector TCO Calculator.

  1. 01

    Calculate three year tco

    Calculates the total estimated cost for a vector database over a 3-year period

  2. 02

    Compare deployment models

    Compares the total cost of managed services versus self-hosted infrastructure

  3. 03

    Estimate resource requirements

    Estimates the hardware or cloud capacity required to support a workload

  4. 04

    Project scaling costs

    Projects how costs will grow as the vector database expands

One connector, every AI

Vector TCO Calculator 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 Vector TCO Calculator 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.

Vector TCO Calculator is checked daily against the live service.

Daily averagePeak 846ms
Sep 6Today
Fastest day
846ms
Slowest day
846ms
14-day trend
Stable0%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Vector TCO Calculator, so you can see the experience inside your AI.

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

Vector TCO Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Kv2W52bRdB4VoCVp5bvueM2RXeqvNPbV0v07QfLN/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 — Vector TCO Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "vector-database-tco-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Kv2W52bRdB4VoCVp5bvueM2RXeqvNPbV0v07QfLN/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? link.label

See all the AI clients this connector works with ↑

FAQ

Questions Vector TCO Calculator owners ask.

  • 01

    How does this capability account for indexing costs?

    The capability includes an index multiplier to account for the additional RAM and disk space required by searchable indexes like HNSW.

  • 02

    Can I compare managed services with self-hosted setups?

    Yes, you can use compare_deployment_models to see the cost delta between managed services and self-hosted infrastructure.

  • 03

    Does the calculation include replication?

    Yes, you can specify a replication factor to ensure the total cost reflects the necessary data copies for high availability.