How to Use the Document Paginator Engine MCP in Mastra AI

Q: How do I add the Document Paginator Engine MCP Server to my Mastra AI workflows?

Install @mastra/mcp and instantiate the client using the server's Vinkius URL. Call mcpClient.listTools() and spread the output directly into your agent's tools array.

Build workflow agents that chunk massive legal files without cutting sentences using Mastra AI and this MCP Server.

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Connect Document Paginator Engine MCP to Mastra AI

Create your Vinkius account to connect Document Paginator Engine to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Document Paginator Engine with Mastra AI

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Smart Chunking for Mastra AI Workflows

The `chunk_legal_document` tool slices large contracts into token-safe portions while preserving the semantic structure of every sentence. It calculates precise token limits so your workflow engines never choke on oversized text inputs. Integrating this tool with Mastra AI lets you build multi-step agent workflows that process complex legal documents. If a chunking step fails, the workflow engine automatically retries with exponential backoff to keep your pipeline moving.

Protect Legal Context in Multi-Step Agents

The `chunk_legal_document` tool identifies legal citation markers like F.3d and U.S.C. to prevent them from being split across different chunks. This ensures that your agents always analyze complete legal arguments. You can register this MCP Server directly with your Mastra AI agent to handle automated contract reviews. The agent receives clean, unbroken context, which drastically reduces the risk of incorrect legal interpretations during automated analysis.

Human-in-the-Loop Approvals for Legal Text

The `chunk_legal_document` tool outputs mathematically precise text blocks that fit perfectly within your LLM's context window. This prevents silent data loss and ensures that no critical terms are dropped during the chunking phase. By using Mastra AI's `requireToolApproval` feature, you can force your agent to pause after chunking. This gives human operators a chance to inspect the generated text blocks before sending them to the next step in your workflow.

Setup guide

Set up Document Paginator Engine MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Document Paginator Engine tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "document-paginator-engine-mcp-client",
  servers: {
    "document-paginator-engine-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Document Paginator Engine Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Document Paginator Engine tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Document Paginator Engine transactions"
);
console.log(result.text);

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Common questions about Document Paginator Engine MCP in Mastra AI

Install `@mastra/mcp` and instantiate the client using the server's Vinkius URL. Call `mcpClient.listTools()` and spread the output directly into your agent's tools array.

Yes, Mastra AI has a built-in workflow engine that automatically triggers retries with exponential backoff if a network error occurs. This ensures your legal document chunking tasks complete even during transient connection drops.

Naive splitters cut text based on character counts, which frequently truncates critical legal clauses. This MCP Server uses regex-based boundary detection to keep sentences intact, giving your Mastra AI agents reliable data.

Yes, you can use Mastra AI's approval system to intercept the chunking tool's output. This lets you manually verify the sliced legal text blocks before they are passed to your downstream LLM agents.

Your legal text blocks are processed in memory inside an ephemeral V8 sandbox and are never written to disk. Vinkius secures this pipeline with a zero-trust architecture, destroying the container as soon as the chunking operation finishes.

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