How to Use the CallGear MCP in Mastra AI

Q: How do I register CallGear tools in Mastra AI?

Initialize the MCP client using new MCPClient and point it to your Vinkius endpoint. Then, call listTools and spread the resulting tools array directly into your agent definition.

Q: How does Mastra AI manage CallGear network failures?

The framework has built-in retries. If a call to getcallsreport drops due to a network glitch, the workflow retries the request automatically using exponential backoff.

Build resilient, self-healing communication workflows by coupling Mastra AI with your CallGear workspace.

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Connect CallGear MCP to Mastra AI

Create your Vinkius account to connect CallGear 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 CallGear with Mastra AI

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Automate call routing audits with Mastra AI workflows

Use Mastra's workflow engine to trigger a scheduled run of `list_call_scenarios` and check if your routing matches expectations. If the workflow detects an anomaly, it can automatically fetch active directory details via `list_users` to find the owner of the broken scenario. You don't have to manually audit anything.

Resilient ad spend reporting with backoff

API rate limits shouldn't break your marketing reports, which is why Mastra AI automatically retries failed calls to `get_ad_campaigns_report` if the remote server is busy. The agent pulls marketing data from `list_ad_campaigns` and `list_traffic_sources` in a structured loop. If any step fails, the workflow pauses, backs off, and resumes without losing state.

Human-in-the-loop validation for communication tags

Before applying new labels to your customer interactions, this MCP Server lets your agent pull active labels using `list_tags` and pause for approval. Once approved, the agent processes the broader dataset using `get_communications_report`. This keeps your database clean and prevents automated errors from messing up your analytics.

Setup guide

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

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

const result = await agent.generate(
  "List recent CallGear 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 CallGear. 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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Common questions about CallGear MCP in Mastra AI

Initialize the MCP client using `new MCPClient` and point it to your Vinkius endpoint. Then, call `listTools` and spread the resulting tools array directly into your agent definition.

Yes. You can build a workflow that first gets account details via `get_account_info`, pulls daily metrics with `get_site_daily_stats`, and then triggers an alert if traffic drops.

The framework has built-in retries. If a call to `get_calls_report` drops due to a network glitch, the workflow retries the request automatically using exponential backoff.

You can filter the MCP tools array before passing it to your agent. For instance, you can expose only `list_traffic_sources` and hide user management functions.

This MCP Server runs inside an isolated sandbox. Your advertising spend details and campaign performance metrics are processed securely, ensuring your raw marketing data is never exposed.

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