How to Use the Justia Legal Intelligence MCP in Mastra AI

Q: How do I handle rate limits when using Justia Legal Intelligence with Mastra AI?

You configure the workflow engine to back off and retry if searchlegalcases hits a limit. The framework handles the timing so your agent doesn't drop the task.

Q: Can I build multi-step legal pipelines using Justia Legal Intelligence and Mastra AI?

Yes, you can chain getstatestatutes and searchlegalcases together. The output of a statutory search can feed directly into a case law query.

Q: Does Mastra AI support human-in-the-loop verification for Justia Legal Intelligence tools?

Yes, you can set the framework to pause before calling searchlegalcases. This lets an attorney check the query parameters before running the search.

Build automated legal research pipelines with Mastra AI using direct access to cases and statutes.

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Connect Justia Legal Intelligence MCP to Mastra AI

Create your Vinkius account to connect Justia Legal Intelligence 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 Justia Legal Intelligence with Mastra AI

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Build resilient legal workflows in Mastra AI

The `search_legal_cases` tool lets your agent query case law as part of an automated legal research pipeline using this MCP Server. When a query fails due to network issues, Mastra's workflow engine retries the call automatically. This ensures your automated research doesn't break midway through a run. You get reliable case data without writing custom error-handling code.

Branch your research based on state statutes

Your agent uses `get_state_statutes` to check specific laws and decide the next step in a workflow. For example, if a statute requires a specific filing deadline, the agent branches to alert your team. This conditional logic turns static legal data into active processes. The MCP Server acts as the data source, while your agent handles the decision tree.

Require human approval before exporting case law

The `search_legal_cases` tool can run behind a human-in-the-loop gate to ensure accuracy. Before the agent writes a draft based on the retrieved cases, a lawyer must approve the search results. This setup prevents the agent from using outdated or incorrect legal theories. You combine automated search speed with professional oversight.

Setup guide

Set up Justia Legal Intelligence 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 Justia Legal Intelligence 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: "justia-legal-intelligence-mcp-client",
  servers: {
    "justia-legal-intelligence-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Justia Legal Intelligence MCP in Mastra AI

You configure the workflow engine to back off and retry if `search_legal_cases` hits a limit. The framework handles the timing so your agent doesn't drop the task.

Yes, you can chain `get_state_statutes` and `search_legal_cases` together. The output of a statutory search can feed directly into a case law query.

Yes, you can set the framework to pause before calling `search_legal_cases`. This lets an attorney check the query parameters before running the search.

Vinkius hosts the server in a secure sandbox. Your Mastra agents connect to it via a single secure endpoint, meaning you don't manage any infrastructure.

Yes. All queries for state statutes and legal cases are processed in isolated, single-use environments. This MCP Server handles all requests without caching your data permanently.

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