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Nimbata MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Check Nimbata Status, Create Source, Get Call Details, and more

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Nimbata through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Nimbata app connector for Mastra AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "nimbata": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Nimbata Agent",
    instructions:
      "You help users interact with Nimbata " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Nimbata?"
  );
  console.log(result.text);
}

main();
Nimbata
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Nimbata MCP Server

Connect your Nimbata account to any AI agent and take full control of your call tracking orchestration and attribution through natural conversation. Nimbata provides a robust platform for managing inbound calls, and this integration allows you to retrieve call metadata, monitor marketing sources, and manage tracking phone numbers directly from your chat interface.

Mastra's agent abstraction provides a clean separation between LLM logic and Nimbata tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Call & Attribution Orchestration — List all managed inbound calls and retrieve detailed metadata programmatically, including duration, caller ID, and source attribution.
  • Source & Channel Intelligence — Access and monitor your marketing tracking sources (Google Ads, Facebook, etc.) and create new ones directly from the AI interface.
  • Number Lifecycle Management — List all active tracking phone numbers to maintain a clear overview of your communication infrastructure via natural language.
  • Call Deep-Dive — Retrieve granular details for specific calls to understand context and attribution in real-time using simple AI commands.
  • Operational Monitoring — Track system health and manage attribution metadata to ensure your marketing funnels are always optimized.

The Nimbata MCP Server exposes 12 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Nimbata tools available for Mastra AI

When Mastra AI connects to Nimbata through Vinkius, your AI agent gets direct access to every tool listed below — spanning call-tracking, marketing-attribution, lead-generation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_nimbata_status

Verify connectivity

create_source

Create a tracking source

get_call_details

Get call details

get_call_recording

Get recording

get_call_report

Get call report

get_number

Get number details

get_source

Get source details

get_source_report

Get source report

list_calls

List calls

list_numbers

List tracking numbers

list_sources

List tracking sources

search_calls

Search calls

Connect Nimbata to Mastra AI via MCP

Follow these steps to wire Nimbata into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 12 tools from Nimbata via MCP

Why Use Mastra AI with the Nimbata MCP Server

Mastra AI provides unique advantages when paired with Nimbata through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Nimbata without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Nimbata tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Nimbata + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Nimbata MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Nimbata, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Nimbata as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Nimbata on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Nimbata tools alongside other MCP servers

Example Prompts for Nimbata in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Nimbata immediately.

01

"List all tracked calls in Nimbata from today."

02

"Show me the call tracking sources I have configured and their performance."

03

"Get the recording and full details for call ID call_7823."

Troubleshooting Nimbata MCP Server with Mastra AI

Common issues when connecting Nimbata to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Nimbata + Mastra AI FAQ

Common questions about integrating Nimbata MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.