How to Use the ComplyAdvantage MCP in Mastra AI

Q: How do I list existing searches in ComplyAdvantage using Mastra AI?

Call the listsearches tool within your agent. It returns an array of previous records that you can filter or iterate over to find the specific entity you need to update.

Build complex compliance workflows in Mastra AI that automatically retry failed screenings and notify your team of new risks.

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Connect ComplyAdvantage MCP to Mastra AI

Create your Vinkius account to connect ComplyAdvantage 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 ComplyAdvantage with Mastra AI

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Automated screening loops in Mastra AI

Use `create_search` within a Mastra AI workflow to perform bulk entity checks. You can chain these calls to ensure every onboarding record hits the screening engine without manual input. If a request fails, the Mastra AI engine handles the retry logic for you. This keeps your compliance pipeline moving even when external services face temporary network issues.

Conditional compliance logic

Route entities based on results from `get_search_details`. If the tool returns a high-risk flag, your workflow can branch to a manual review step or block the account automatically. This gives you programmatic control over your risk appetite. You define the thresholds in your code, and the agent executes them consistently every single time.

Monitor and update search profiles

Keep your data accurate by calling `update_search_profile` whenever your internal records change. You maintain a clean audit trail by attaching notes with `create_comment`. Your agents can also stop or start monitoring for specific entities using `update_search_monitors`. This ensures you only pay for and process the active risk sets you actually need.

Setup guide

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

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

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

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Common questions about ComplyAdvantage MCP in Mastra AI

You instantiate the MCP client in your agent definition and spread the tools into the agent configuration. Then, you simply call the tools by name within your workflow steps.

Yes, you can use the requireToolApproval setting to pause the workflow. This forces a human to check the output of `get_search_details` before the agent proceeds to the next step.

The Mastra AI framework manages retries natively. If a tool call to the server fails, the agent will attempt the operation again based on your configured backoff strategy.

Call the `list_searches` tool within your agent. It returns an array of previous records that you can filter or iterate over to find the specific entity you need to update.

The server uses a zero-trust sandbox architecture. Your entity names and ID numbers are processed in an ephemeral environment that clears after every transaction.

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