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How to Use the Brazilian Judiciary Dictionary Engine MCP in Mastra AI

Build reliable legal workflows with Mastra AI and the Brazilian Judiciary Dictionary Engine.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Brazilian Judiciary Dictionary Engine MCP to Mastra AI

Create your Vinkius account to connect Brazilian Judiciary Dictionary 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.

GDPR Free for Subscribers

Resilient legal entity extraction workflows

Legal documents are messy, and network drops shouldn't break your ingestion pipeline. Mastra AI uses its built-in workflow engine to run `search_legal_entities` with automatic exponential backoff retries. If a connection hiccup occurs while parsing a massive PDF, the workflow pauses and retries. Your system stays stable, and you avoid partial, broken data in your legal database.

Conditional branching using this MCP Server

Not all Brazilian courts require the same administrative handling. You can use the output of `search_legal_entities` to route documents dynamically based on the specific tribunal detected. If the engine flags a federal tribunal like the STF, your Mastra AI workflow can branch to notify a senior attorney. State court detections can route to standard processing queues automatically.

Human-in-the-loop approval for court filings

Automated legal actions run through an MCP Server require strict oversight before anything gets filed. Mastra AI lets you set `requireToolApproval` on the agent running the dictionary search. When `search_legal_entities` flags a regulatory body, the agent pauses execution. It waits for a human operator to verify the match before proceeding to the next automated step.

Setup guide

Set up Brazilian Judiciary Dictionary 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Brazilian Judiciary Dictionary Engine tools become native Mastra tools.

  4. 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: "brazilian-judiciary-dictionary-engine-mcp-client",
  servers: {
    "brazilian-judiciary-dictionary-engine-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Brazilian Judiciary Dictionary Engine transactions"
);
console.log(result.text);

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Common questions about Brazilian Judiciary Dictionary Engine MCP in Mastra AI

Instantiate the `MCPClient` with our endpoint URL, call `listTools()`, and spread them into your agent's tool array. The agent can then use them dynamically during execution loops.
Yes, you can register the tool as a step inside any Mastra workflow. This allows you to build complex conditional logic based on the specific courts found.
It does. The framework automatically detects whether the server uses Streamable HTTP or SSE, so you don't have to write custom connection adapters.
The `search_legal_entities` tool scans the entire input text against its database of over 100 pre-indexed entities. It returns all matching tribunals in a single pass.
Your text is sent securely to our zero-trust Vinkius marketplace environment. The data is processed in-memory to extract court names and destroyed immediately after the response is sent.

Start using the Brazilian Judiciary Dictionary Engine MCP today

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