How to Use the Openli MCP in Mastra AI

Q: How do I add Openli tools to a Mastra AI agent?

Instantiate the MCPClient with your server URL and call mcpClient.listTools(). Spread those returned tools directly into your Agent's tool array.

Q: Can Mastra AI retry failed Openli document generations?

Yes. If createagreement times out while drafting a massive privacy policy, Mastra's built-in workflow engine will automatically retry with exponential backoff.

Q: How do I check Openli connectivity in a Mastra workflow?

Add a preliminary step that calls checkopenlistatus. If the check fails, the workflow can branch to an error-handling state rather than attempting to fetch data.

Build resilient compliance workflows in Mastra AI that automatically handle privacy requests and consent tracking.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Openli MCP to Mastra AI

Create your Vinkius account to connect Openli to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Openli with Mastra AI

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Automate DSAR fulfillment workflows

The `list_dsars` tool pulls every pending data request into your Mastra AI workflow engine. If a request is flagged as urgent, your agent can branch the logic to notify your legal team immediately. You can chain `get_dsar` to extract specific user details, then automatically search your databases. If a database query fails, Mastra's exponential backoff retries the step before marking the request incomplete.

Manage vendor compliance checks

Run `list_vendors` to audit third-party processors across your tech stack. Your agent can iterate through the list and use `get_vendor` to check each company's current privacy status. If a vendor falls out of compliance, the workflow can trigger an alert or pause data sharing. You build a self-healing compliance monitor that runs on a schedule.

Log consents via Openli MCP Server

When a user updates their cookie preferences, `save_consent` writes that record directly to your compliance ledger. Mastra AI ensures this critical write operation completes successfully. You can build fallback logic right into the agent. If the initial save times out, the framework automatically retries the operation, guaranteeing your `list_consents` audit trail remains perfectly accurate.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Openli. 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.

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Common questions about Openli MCP in Mastra AI

Instantiate the `MCPClient` with your server URL and call `mcpClient.listTools()`. Spread those returned tools directly into your Agent's tool array.

Yes. If `create_agreement` times out while drafting a massive privacy policy, Mastra's built-in workflow engine will automatically retry with exponential backoff.

You can require human approval for destructive or critical actions. Just configure `requireToolApproval` on tools like `create_dsar` before the agent executes them.

Add a preliminary step that calls `check_openli_status`. If the check fails, the workflow can branch to an error-handling state rather than attempting to fetch data.

Consent logs hold explicit proof of user opt-ins and opt-outs. Vinkius processes these records through a zero-trust architecture, ensuring credentials and payloads are destroyed the moment the transaction concludes.

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