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Connect Vector Database Tco 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 financial models for your vector infrastructure.

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Vector TCO Calculator.

  1. 01

    Calculate three year tco

    This capability calculates the total estimated cost for a vector database over a 3-year period.

  2. 02

    Compare deployment models

    Use this capability to compare the total cost of managed services against self-hosted infrastructure.

  3. 03

    Estimate resource requirements

    This capability estimates the specific hardware or cloud capacity needed to support your workload.

  4. 04

    Project scaling costs

    This capability projects how your expenses will grow as your vector database expands.

Real work

What teams actually run

01

Budget Planning

Model three-year expenses to secure budget approval for new AI projects.

02

Cloud vs On-Prem Decision

Compare the cost of managed vector services against running your own hardware.

03

Capacity Planning

Estimate the memory and storage needed before you provision your infrastructure.

04

Scaling Forecasts

Predict how much your database costs will increase as you add more vectors.

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.

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 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

873ms average. Fast in production.

Vector TCO Calculator is checked daily against the live service.

Daily averagePeak 989ms
Oct 4Today
Fastest day
752ms
Slowest day
989ms
14-day trend
Slowing+16%

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? Set up Vector TCO Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Vector TCO Calculator owners hand off.

This MCP is built for technical teams managing AI infrastructure and budgets.

  • 01

    Infrastructure Engineers

    They use the capability to determine hardware requirements and cloud capacity.

  • 02

    AI Architects

    They use it to decide between managed services and self-hosted deployments.

  • 03

    FinOps Analysts

    They use the projections to budget for long-term vector database growth.

FAQ

Questions Vector TCO Calculator owners ask.

  • 01

    How does this MCP calculate vector database costs?

    It uses specific parameters like vector storage density, indexing overhead, and replication requirements to build a financial model.

  • 02

    Can I compare managed services to self-hosting?

    Yes, the compare_deployment_models capability specifically compares the total cost of managed services against self-hosted infrastructure.

  • 03

    What kind of hardware requirements can it estimate?

    The estimate_resource_requirements capability calculates the hardware or cloud capacity required to support your specific workload.

  • 04

    Does it handle long-term cost forecasting?

    Yes, you can use calculate_three_year_tco for long-term projections and project_scaling_costs to see how expenses grow over time.

  • 05

    Which AI clients can use this MCP?

    You can use this MCP with any compatible client including Claude, Cursor, Windsurf, and VS Code.

  • 06

    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.

  • 07

    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.

  • 08

    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.

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