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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Batch Request Optimizer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Optimize LLM API costs and latency by grouping requests into efficient batches.

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 Batch Request Optimizer capability set.

These are the exact actions your AI can choose when you ask it to work with Batch Request Optimizer.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Batch Request Optimizer.

  1. 01

    Assess batch risk

    Evaluates the operational risks associated with the batching plan

  2. 02

    Calculate batch plan

    Generates a specific grouping of requests based on the selected strategy

  3. 03

    Analyze batch efficiency

    Calculates the economic and performance impact of the generated batch plan

Observed, not estimated

933ms average. Fast in production.

Batch Request Optimizer is checked daily against the live service.

Daily averagePeak 1098ms
Aug 20Today
Fastest day
655ms
Slowest day
1098ms
14-day trend
Slowing+35%

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 Batch Request Optimizer, so you can see the experience inside your AI.

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

Batch Request Optimizer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_hEQEvIT6CmbMrr99NTgzxWSJ3UgwdHfw3sW6cDe1/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 — Batch Request Optimizer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "batch-request-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_hEQEvIT6CmbMrr99NTgzxWSJ3UgwdHfw3sW6cDe1/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 Batch Request Optimizer owners ask.

  • 01

    What is the difference between the batching strategies?

    Fixed batching uses a static size, dynamic batching groups requests by similar token counts, and priority-based batching processes high-priority requests first.

  • 02

    How can I check if my batch is too large?

    You can use the assess_batch_risk capability to check for timeout risks and high volume warnings based on your token volume limits.

  • 03

    How is token efficiency calculated?

    It is the ratio of user prompt tokens to the total tokens processed, including the batch overhead from shared system prompts.

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