How to Use the CloudLex Legal MCP in Mastra AI

Q: How does Mastra AI handle failed CloudLex Legal API calls?

Mastra AI uses built-in exponential backoff. If updatecloudlexcase fails due to a rate limit, the workflow engine automatically retries the call until it goes through.

Q: Can I build conditional branching based on CloudLex Legal case status in Mastra AI?

Yes. You can fetch case details with getcloudlexcase and branch your workflow based on whether the status is Open, Closed, or Pending.

Q: Can I automate document collection for personal injury cases?

You can set up a workflow that runs listcloudlexdocuments to verify that all necessary medical releases and accident reports are attached to the case.

Build automated legal workflows that sync CloudLex Legal cases and tasks using Mastra AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect CloudLex Legal MCP to Mastra AI

Create your Vinkius account to connect CloudLex Legal 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

Setup CloudLex Legal with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate task assignment with Mastra AI workflows

Stop chasing lawyers to update their action items. Mastra AI lets you build multi-step workflows that run `list_cloudlex_tasks` to check on case progress, then automatically flag overdue items. If a critical deadline is missed, the workflow engine triggers conditional logic to escalate the issue. It keeps your personal injury cases moving forward without manual oversight.

Reconcile medical liens and expenses automatically

Settlement math is tedious and prone to human error. Use this MCP Server to fetch financial data via `list_cloudlex_expenses` and `list_cloudlex_liens` inside your automated pipelines. Mastra AI runs these checks in the background, comparing lien amounts against case values. If it detects a discrepancy, it routes the data to a review step before finalizing the settlement sheet.

Sync incoming leads to client contacts

When a new contact form comes in, you need to act fast. This integration lets your background agents run `create_cloudlex_client` to instantly log the prospect's details. Once the contact is created, the system triggers `create_cloudlex_case` to open a pending matter. You can configure automatic retries so no lead gets dropped due to API hiccups.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CloudLex Legal. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect CloudLex Legal now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about CloudLex Legal MCP in Mastra AI

Mastra AI uses built-in exponential backoff. If `update_cloudlex_case` fails due to a rate limit, the workflow engine automatically retries the call until it goes through.

Yes. You can fetch case details with `get_cloudlex_case` and branch your workflow based on whether the status is Open, Closed, or Pending.

You install the Mastra MCP package, instantiate the client with your Vinkius endpoint, and spread the tools directly into your agent's configuration.

You can set up a workflow that runs `list_cloudlex_documents` to verify that all necessary medical releases and accident reports are attached to the case.

All client contact details and case notes are processed through encrypted V8 isolates. The MCP Server ensures that authentication tokens are handled securely, meaning no legal data is exposed to external networks.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript