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How to Use the Nimbata MCP in Mastra AI

Build resilient call tracking workflows and automate marketing attribution with Mastra AI and the Nimbata MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Nimbata MCP to Mastra AI

Create your Vinkius account to connect Nimbata 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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Automate Campaign Provisioning

The `create_source` tool allows your Mastra AI workflow to programmatically spin up new call tracking campaigns. When a new client onboards, the system automatically assigns them a dedicated tracking pool. If the assignment fails, Mastra's built-in retry logic kicks in with exponential backoff. Once successful, it calls `list_numbers` to verify the allocation before notifying the account manager.

Mastra AI MCP Server Workflows

The `get_source_report` tool pulls hard attribution data to evaluate ad spend performance. You can build a workflow that runs this report every Friday at midnight to calculate cost-per-lead. The agent checks the metrics against a baseline. If the call volume drops below a specific threshold, conditional branching routes an alert to the marketing team for immediate campaign adjustments.

Audit Call Quality Automatically

The `get_call_recording` tool fetches the raw audio files from completed phone conversations. Your workflow triggers this extraction immediately after the `list_calls` endpoint flags a session as finished. You can pipe this audio into a transcription step for further analysis. If the API rate limit hits, Mastra pauses the execution and tries again, ensuring no recordings fall through the cracks.

Setup guide

Set up Nimbata 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. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Nimbata tools become native Mastra tools.

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

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nimbata. 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.

Why Choose Vinkius

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Nimbata MCP in Mastra AI

Install `@mastra/mcp@latest`. Instantiate a new `MCPClient` with your server URL, call `listTools()`, and spread the results into your Agent's tool array.
It does. If `check_nimbata_status` returns an error or a timeout occurs, Mastra automatically retries the operation based on your configured backoff settings.
Yes. You can enable `requireToolApproval` in Mastra AI before executing destructive actions like deleting a campaign or reassigning a tracking number.
You set up a cron trigger in your workflow that executes `get_call_report` at specific intervals. The engine handles the timing and executes the tool automatically.
The workflow handles sensitive caller ID strings and call durations. Vinkius routes the traffic through ephemeral zero-trust tunnels, ensuring the transit layer remains entirely isolated from external snooping.

Start using the Nimbata MCP today

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