How to Use the Marketaux MCP in Mastra AI

Q: Can I require human approval before Mastra AI acts on Marketaux sentiment alerts?

Yes, you can use Mastra's requireToolApproval feature. When getsentimentanalysis flags a major sentiment shift, the Mastra AI agent pauses the workflow and waits for a human operator to approve the next step before executing further trades.

Q: How do I register the Marketaux MCP Server tools inside a Mastra AI agent?

Install @mastra/mcp@latest and initialize the client with your Vinkius server URL. Call mcpClient.listTools() and spread them into your Mastra AI agent's tool array to instantly grant access to endpoints like getindices and searchnews.

Q: Can the Mastra AI agent search for specific stock indices dynamically?

Yes, the Mastra AI agent uses getindices to pull the active list of global stock indices. It can then run targeted searches using searchnews to find stories specifically impacting those benchmarks.

Build self-healing financial workflows that trigger on Marketaux sentiment shifts using the Mastra AI agent framework.

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Connect Marketaux MCP to Mastra AI

Create your Vinkius account to connect Marketaux 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 Marketaux with Mastra AI

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Automated Marketaux sentiment workflows in Mastra AI.

Connect your automated trading workflows to real-world market movements. This MCP server lets Mastra AI monitor market sentiment by calling `get_sentiment_analysis` on a set schedule. If a stock's sentiment score drops below your threshold, the workflow triggers defensive actions without needing human intervention. This setup uses Mastra's built-in workflow engine to handle complex logic paths. You can configure the Mastra AI agent to run `get_trending_news` immediately after a sentiment drop to identify the exact catalyst behind the market move before alerting your team.

Fail-safe market status verification.

Do not let your automated Mastra AI agents place orders when the exchanges are closed. The MCP integration allows Mastra AI to use `get_stock_market_status` as a conditional gateway step in your financial pipelines. If the exchange is closed, the workflow pauses or routes to a queue instead of throwing API errors. If a network hiccup occurs, Mastra's automatic retries with exponential backoff ensure the check completes. The Mastra AI agent can search alternative venues using `search_exchanges` to see if secondary markets are still open for trading.

Multi-step sector and entity mapping.

Map raw news mentions to tradable assets automatically inside Mastra AI. The agent calls `get_entities` to extract company names from raw text, then uses `list_industries` to categorize the asset class. Your Mastra pipeline can dynamically group incoming alerts by sector on the fly. You can verify the valid trading tickers using `get_symbols` before passing them to execution systems. Because Mastra AI supports human-in-the-loop tool approvals, you can require a manual sign-off before the agent acts on any newly discovered entities.

Setup guide

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

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

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

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Common questions about Marketaux MCP in Mastra AI

Mastra AI uses its built-in workflow engine to manage rate limits. If a call to `get_latest_news` hits a limit, the framework automatically retries the request with exponential backoff, preventing your automated pipelines from breaking during high-volume market events.

Yes, you can use Mastra's `requireToolApproval` feature. When `get_sentiment_analysis` flags a major sentiment shift, the Mastra AI agent pauses the workflow and waits for a human operator to approve the next step before executing further trades.

Install `@mastra/mcp@latest` and initialize the client with your Vinkius server URL. Call `mcpClient.listTools()` and spread them into your Mastra AI agent's tool array to instantly grant access to endpoints like `get_indices` and `search_news`.

Yes, the Mastra AI agent uses `get_indices` to pull the active list of global stock indices. It can then run targeted searches using `search_news` to find stories specifically impacting those benchmarks.

All financial news queries, symbol searches, and sentiment requests are processed through our zero-trust, ephemeral V8 isolates on Vinkius. Your data is never cached or used for training, and all connections require a single secure endpoint token that is validated on every request.

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