How to Use the Nimbleway MCP in Mastra AI

Q: Can I use Nimbleway to trigger complex workflows in Mastra AI?

Yes. You can use the output of a searchweb query to trigger a conditional branch in your agent's workflow. This allows for dynamic, multi-step data collection.

Q: Is it possible to track individual scraping jobs in Mastra AI?

Use the getjob tool to pull current status updates. You can build a monitoring step in your agent that checks these details and acts based on completion status.

Q: What is the best way to handle tool approval in Mastra AI?

Enable the requireToolApproval setting in your Mastra MCP configuration. This forces a human-in-the-loop check before the agent executes expensive scraping requests.

Build resilient scraping workflows in Mastra AI. Handle failures and automate data collection with a TypeScript-native engine.

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Connect Nimbleway MCP to Mastra AI

Create your Vinkius account to connect Nimbleway 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 Nimbleway with Mastra AI

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Claude

Perplexity

Automated scraping workflows

Chain multiple scraping steps together using the Mastra AI workflow engine. Use `list_pipelines` to trigger predefined collection tasks and `get_job` to monitor their progress. Define clear branching logic for your data collection. If a specific scrape fails, your agent can automatically pivot to a different strategy or notify you for manual review.

Structured data collection

Convert messy web pages into clean JSON using `extract_html` or `extract_markdown`. This gives your Mastra AI agent predictable input for downstream processing. Stop writing custom regex for every site. Let the server handle the DOM cleaning so your agents focus on analyzing the actual data.

Proxy management for agents

Control your network footprint by checking `list_proxies` within your agent logic. Ensure your scraping operations rotate through the right endpoints for your target regions. Maintain high success rates by verifying proxy configuration before starting large jobs. It keeps your automation running without frequent interruptions.

Setup guide

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

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

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

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Common questions about Nimbleway MCP in Mastra AI

You can wrap your tool calls in Mastra's workflow engine. Configure retry policies on the `extract_markdown` or `search_web` steps to handle transient network issues automatically.

Yes. You can use the output of a `search_web` query to trigger a conditional branch in your agent's workflow. This allows for dynamic, multi-step data collection.

Use the `get_job` tool to pull current status updates. You can build a monitoring step in your agent that checks these details and acts based on completion status.

Enable the `requireToolApproval` setting in your Mastra MCP configuration. This forces a human-in-the-loop check before the agent executes expensive scraping requests.

The server transmits only the requested web content over an encrypted channel. No sensitive user credentials or private browsing history are collected during the scraping process.

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