How to Use the Grepsr MCP in Mastra AI

Q: How do I monitor my Grepsr usage inside Mastra AI?

Include getusagestats as a pre-flight check in your agent's workflow. This prevents your agents from hitting limits during high-volume operations.

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Connect Grepsr MCP to Mastra AI

Create your Vinkius account to connect Grepsr 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 Grepsr with Mastra AI

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Automate crawl retries with Mastra AI

Wrap `run_report` in a Mastra workflow to handle failures automatically. If a crawl fails, the agent retries the call based on your logic. This setup ensures your data pipeline keeps moving without manual intervention. You define the success criteria and let the agent manage the execution.

Manage webhooks for data delivery

Use `create_webhook` to push data to your endpoints as soon as it's ready. You define the destination URL and let Grepsr handle the transfer. `list_webhooks` helps you verify that your delivery pipeline is active. You keep full visibility into where your data is flowing.

Sync scraping projects to agents

Call `list_projects` to give your agent a list of available targets. The agent identifies the correct ID and prepares the report for execution. `get_report_details` provides the agent with necessary schema info. This ensures your automated tasks always use the correct configuration.

Setup guide

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

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

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

Add the server URL to your Mastra client configuration. The agent automatically detects the available tools, allowing you to call them within your workflow steps.

Yes, you can build conditional branches in your workflow. If a tool returns an error, the agent can notify you or try an alternative project ID.

We enforce strict token-based authentication for every request. This ensures that your scraped records are never exposed outside your authorized environment.

Absolutely, as long as you configure your workflow to handle the specific tool responses. You can check the output of `run_report` and trigger a retry if the job doesn't finish correctly.

Include `get_usage_stats` as a pre-flight check in your agent's workflow. This prevents your agents from hitting limits during high-volume operations.

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