How to Use the LexisNexis MCP in Mastra AI

Q: Does Mastra AI support human-in-the-loop for LexisNexis tools?

Yes. Enable requireToolApproval in your client settings to review agent decisions before they query legal or corporate databases.

Q: Can I use LexisNexis for automated risk monitoring in Mastra AI?

Absolutely. Create a scheduled agent that runs searchnews and searchcompanies periodically to flag potential risks to your team.

Build reliable corporate research workflows in Mastra AI with automated error handling.

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Connect LexisNexis MCP to Mastra AI

Create your Vinkius account to connect LexisNexis 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 LexisNexis with Mastra AI

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Claude

Perplexity

Automated legal research workflows

Chain `search_legal_cases` with your agent logic to build multi-step investigations. Mastra AI handles the retries if the network hits a snag, keeping your research workflow moving. Define your conditions clearly. If the agent finds a relevant case, it automatically triggers `get_case_details` to verify the findings.

Corporate intelligence with human oversight

Use `get_company_dossier` as part of your Mastra AI agent's toolset. You can enforce human approval before the agent finalizes any report on a specific entity. This keeps your analysts in the loop. The agent prepares the data, and your team confirms the accuracy before taking action.

Dynamic source management for Mastra AI

Query `list_sources` to see what data is currently available for your agents. This helps you map out exactly where your research logic should look for news or legal updates. Build agents that adapt to the source availability. It ensures your logic stays grounded in the right documents.

Setup guide

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

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

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

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Common questions about LexisNexis MCP in Mastra AI

Add the server URL to your Mastra client configuration. You then spread the retrieved tools into your agent definition to make them available for your workflows.

Yes. Enable `requireToolApproval` in your client settings to review agent decisions before they query legal or corporate databases.

Absolutely. Create a scheduled agent that runs `search_news` and `search_companies` periodically to flag potential risks to your team.

The server manages your endpoint token. Your agent only accesses the specific legal case records and company dossiers you specify.

It respects your session isolation. The server handles sensitive legal case information in ephemeral environments, ensuring no persistent data leaks.

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