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Connect Bates Numbering Generator Engine to your AI

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. Guaranteed, mathematically perfect document indexing for court presentation.

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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.

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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 · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Native V8.

  1. 01

    Generate bates numbers

    Deterministically generates flawless sequential Bates numbering arrays for legal documentation

Real work

What teams actually run

01

Initial Case Dump Indexing

You receive a massive dump of 15,000 emails. Use the MCP to generate a complete, perfect numbering array from 1 to 15,000 using your firm's standard prefix.

02

Resuming Numbering

You are working on a multi-phase case and need to continue numbering from document 2540 to 3000, maintaining a global index standard.

03

Exhibit Preparation

For trial presentation, you need to number 500 key documents. The MCP ensures the sequence is perfect, preventing any gaps in the exhibit list.

04

Global Indexing

When combining evidence from multiple sources, you use the MCP to apply a consistent, high-digit zero-padding rule for global indexing.

Automate a task

Put Native V8 to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Native V8 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 Native V8 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

832ms average. Fast in production.

Native V8 is checked daily against the live service.

Daily averagePeak 1441ms
Oct 3Today
Fastest day
618ms
Slowest day
1441ms
14-day trend
Slowing+73%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 Native V8, so you can see the experience inside your AI.

It does not authenticate your account with Native V8. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Native V8 Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_rbygWevUtSXQUPEy7bXep6AJAN6kPsPfrwg1fZUW/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 — Native V8 capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "bates-numbering-generator-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_rbygWevUtSXQUPEy7bXep6AJAN6kPsPfrwg1fZUW/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 Native V8 in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Native V8 owners hand off.

This MCP is essential for legal professionals and e-Discovery teams. If your job involves indexing large volumes of evidence for litigation, you need guaranteed numbering. It lets your agent handle the technical complexity of document ID generation, freeing you to focus on the case itself.

  • 01

    e-Discovery Manager

    Manages the numbering process for thousands of documents, ensuring the integrity of the exhibit list.

  • 02

    Paralegal

    Needs to generate numbering arrays for specific case segments or document batches quickly and accurately.

  • 03

    Litigation Support Specialist

    Requires reliable capabilities to prepare exhibit lists that must withstand scrutiny in court.

FAQ

Questions Native V8 owners ask.

  • 01

    Why do I need a dedicated Bates numbering engine?

    General language models are prone to losing context when generating large sequential numbers, often skipping IDs. This MCP uses strict, deterministic logic to guarantee every number in the sequence is present, which is critical for legal evidence.

  • 02

    Can this handle very large numbers of documents?

    Yes. It is designed to process massive document dumps, accurately generating arrays for ranges up to 15,000 and beyond, maintaining mathematical perfection.

  • 03

    Does it require me to know the exact start and end numbers?

    You must provide the start and end points, along with the prefix and padding rules. This ensures the output array matches your case's specific indexing requirements.

  • 04

    Is the output format suitable for court exhibits?

    The output is a clean, immutable array of indexed identifiers, ready to be incorporated into your exhibit list for trial presentation.

  • 05

    Can I resume numbering if I lose my current sequence?

    Absolutely. You can specify a starting number and an ending number, allowing you to resume numbering on a specific segment of documents.

  • 06

    Does it support custom prefixes?

    Yes, you can append any custom alpha-numeric prefix (e.g., 'EXHIBIT-A-' or 'CONFIDENTIAL-') before the numeral sequence.

  • 07

    How does the zero-padding work?

    You supply a padding integer. If padding is 4, document #5 becomes 0005, maintaining perfect alphanumeric sorting in folder hierarchies.

  • 08

    Is there a limit to generation size?

    The engine scales effortlessly. Generating 100,000 distinct strings takes milliseconds, avoiding all standard AI token limitations.

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