How to Use the NinjaCat MCP in Mastra AI

Q: How does Mastra AI handle rate limits when fetching NinjaCat campaigns?

The framework uses built-in backoff strategies. When listagencycampaigns hits a rate limit, Mastra AI pauses and retries the call automatically.

Build resilient marketing workflows that pull NinjaCat reports and auto-retry failures using Mastra AI.

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Connect NinjaCat MCP to Mastra AI

Create your Vinkius account to connect NinjaCat 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 NinjaCat with Mastra AI

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Automated Report Fallbacks

`get_report_download_url` grabs the latest PDF link for your agency clients from NinjaCat. This NinjaCat MCP Server tool plugs directly into Mastra AI workflows, letting you automate report deliveries without manual oversight. If the initial NinjaCat fetch fails, the built-in Mastra AI workflow engine triggers automatic retries. You don't write complex error loops; Mastra AI handles the NinjaCat transport layer issues silently.

Multi-Step Advertiser Sync via MCP Server

`list_advertisers` retrieves your entire client list from NinjaCat to kick off multi-step Mastra AI automation scripts. This NinjaCat MCP Server tool serves as the Mastra AI entry point for agency audits. You can set up Mastra AI conditional branches that check if a NinjaCat advertiser has active campaigns. If they do, the Mastra AI workflow automatically triggers a secondary NinjaCat data check.

Live Campaign Auditing

`list_agency_campaigns` extracts active campaign configurations from NinjaCat. This NinjaCat tool feeds clean data into your Mastra AI agent, allowing it to evaluate performance against pre-set budget caps. You can deploy these Mastra AI agents to monitor your NinjaCat campaign metrics autonomously. The Mastra AI system triggers alerts the moment a NinjaCat budget threshold is breached.

Setup guide

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

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

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

You instantiate the MCPClient and call listTools to fetch the endpoints. Then, you spread those tools directly into your Mastra AI agent configuration object.

Yes, you can use the requireToolApproval setting. This pauses the Mastra AI workflow and alerts you before `get_report_download_url` executes.

The framework uses built-in backoff strategies. When `list_agency_campaigns` hits a rate limit, Mastra AI pauses and retries the call automatically.

You should use Streamable HTTP for local development. It allows your local runner to communicate with our hosted gateway without complex network tunnels.

Yes, all data transmission occurs over encrypted HTTPS channels directly to your agent. Your agency reports and campaign metadata are processed in memory and never written to persistent disk storage.

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