How to Use the Lexzur MCP in Mastra AI

Build complex legal workflows in Mastra AI using Lexzur to automate matter creation and task delegation.

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Connect Lexzur MCP to Mastra AI

Create your Vinkius account to connect Lexzur 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 Lexzur with Mastra AI

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Claude

Perplexity

Automated legal workflow logic

Build conditional chains that react to your legal data. If `list_invoices` shows an overdue balance, your agent can trigger a notification or update a task automatically. This removes manual oversight from your billing cycle. You define the logic once, and the agent executes it whenever the data changes.

Task management at scale

Use `list_tasks` to feed your agent a queue of pending legal work. It sorts and assigns these based on your internal priority rules before writing back to the system. This keeps your team moving without constant status meetings. The agent processes the backlog while you focus on high-level strategy.

Resilient legal operations

Mastra AI handles retries if a call to `list_litigation` fails. Your workflows stay active even if the network fluctuates during a critical case review. This adds a layer of stability to your legal operations. You define the retry policy, and the system ensures the data reaches its destination.

Setup guide

Set up Lexzur 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 Lexzur 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: "lexzur-mcp-client",
  servers: {
    "lexzur-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Lexzur MCP in Mastra AI

Register the server using the MCPClient class in your agent configuration. Once registered, your agents can call tools like list_tasks or list_matters as part of their standard execution flow.

Absolutely. You can chain tools together to create workflows. For example, an agent can query litigation cases and then automatically create a task based on the findings.

Yes. You can require tool approval for sensitive actions like creating a new matter. This ensures a human reviews the agent's work before it touches the database.

Mastra AI allows for custom error handling and retries. If a tool call fails, the framework can catch the error and decide whether to retry or alert an administrator.

All traffic is routed through a secure, ephemeral sandbox. Your sensitive legal records, including case details and financial logs, remain isolated and protected.

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