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How to Use the NumVerify MCP in Mastra AI

Automate phone verification workflows in Mastra AI. Build agents that clean your lead lists automatically.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect NumVerify MCP to Mastra AI

Create your Vinkius account to connect NumVerify 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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Automated line type checks

Trigger `get_phone_line_type` within your Mastra agents to categorize incoming leads. If a number is a VOIP line, your workflow can automatically route it to a manual review queue. This removes the need for human intervention on every signup. It keeps your pipeline moving while blocking low-quality entries.

Conditional routing with phone data

Use the output from `get_phone_location` to branch your agent workflows. If a lead isn't in your target market, the agent stops the process and flags the record. This saves you from spending money on outreach that won't convert. It keeps your agent operations focused on real prospects.

Reliable validation for your agents

Deploy `validate_phone` as a prerequisite for any agent task involving SMS. If the number fails validation, the workflow halts before you waste your API budget. This prevents failed delivery attempts that drive up costs. You only act on numbers that pass the audit.

Setup guide

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

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

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

Include the server URL in your MCP client config. Spread the tools into your agent definition to make them available for your steps.
Absolutely. Use `get_phone_line_type` in a step to check if the number is mobile. If it's not, the agent can drop the request.
The server uses a single endpoint token for your requests. It ensures that only your authorized agents can check phone metadata.
Yes, you can define retry logic in your workflow. If an API call fails, the agent will attempt it again based on your settings.
The server accesses phone number strings to fetch carrier, line type, and location. It does not touch your PII or private user records.

Start using the NumVerify MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 4 tools

We've already built the connector for NumVerify. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
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