How to Use the Determ MCP in Mastra AI

Q: How do I import the Determ MCP tools into a Mastra AI agent?

Install @mastra/mcp@latest and initialize the client with your Vinkius URL. Retrieve the tools using mcpClient.listTools() and spread them directly into your agent's tools configuration array.

Q: How does Mastra AI handle API rate limits when querying Determ?

Mastra has built-in exponential backoff. If listmediamentions hits a rate limit, the workflow engine automatically pauses and retries the call, preventing your automated PR pipelines from breaking.

Build self-healing PR workflows with the Determ MCP Server and Mastra AI.

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Connect Determ MCP to Mastra AI

Create your Vinkius account to connect Determ 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 Determ with Mastra AI

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Automated sentiment escalation with Mastra AI

The `get_query_sentiment_summary` tool lets your Mastra agent monitor brand health and trigger automated escalations. Mastra AI excels at handling multi-step logic with conditional branches. When you hook up this MCP Server, you can build a workflow that runs sentiment checks every hour. If negative sentiment crosses a specific threshold, the workflow triggers an automatic deep-dive. The agent then uses `get_mention_details` to isolate the offending articles and packages them for your review.

Intelligent query status tracking

Using `list_monitoring_queries` gives your agent a complete view of all active keyword trackers via this MCP integration. Keeping track of active keywords can get messy when you manage multiple brands. Your agent can run this tool to get a clean list of all active topics, then call `get_monitoring_query_details` to verify which ones are active or hitting rate limits. Since Mastra has a built-in workflow engine, you can schedule these checks to run in the background.

Automated source volume analysis

The `list_top_media_sources` tool identifies which publications are generating the most volume for your tracked topics. Knowing where your brand is discussed helps you allocate ad spend. By calling this tool, your agent can identify which publications dominate your niche. The agent compiles these sources into a structured report using `list_analytics_reports` and deploys this data directly to your cloud storage, giving you a hands-off reporting pipeline that updates itself weekly.

Setup guide

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

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

const result = await agent.generate(
  "List recent Determ 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 Determ. 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 Determ MCP in Mastra AI

Install `@mastra/mcp@latest` and initialize the client with your Vinkius URL. Retrieve the tools using `mcpClient.listTools()` and spread them directly into your agent's tools configuration array.

Yes, Mastra supports a human-in-the-loop pattern. You can set `requireToolApproval` on sensitive tools to ensure a human reviews the action before the agent modifies your tracking setup.

Mastra has built-in exponential backoff. If `list_media_mentions` hits a rate limit, the workflow engine automatically pauses and retries the call, preventing your automated PR pipelines from breaking.

Yes. You can use Mastra's workflow engine to trigger your agent daily, fetching reports with `list_analytics_reports` and summarizing the day's high-reach mentions.

Your account credentials and query configurations are never logged or stored. The Vinkius gateway handles authentication via a single secure token, passing requests directly to the API without exposing your sensitive keys to the LLM.

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