How to Use the CallRail MCP in Mastra AI

Build complex marketing workflows using CallRail tools inside your Mastra AI agents.

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…and any MCP-compatible client

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Connect CallRail MCP to Mastra AI

Create your Vinkius account to connect CallRail 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 CallRail with Mastra AI

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Automate CallRail tasks in Mastra AI

Trigger `list_alerts` to detect issues in your marketing pipeline. Your agents can branch logic based on what they find in your account. This setup lets you build self-correcting workflows. If an alert pops, your agent reacts immediately.

Process lead data via Mastra AI

Aggregate form submissions with `list_form_submissions` and route them to your CRM. The workflow engine keeps track of every step. Failed attempts trigger automatic retries. You define the logic once and let the framework handle the execution.

Agent-driven CallRail management in Mastra AI

Use `list_users` and `list_companies` to audit your account structure. Your agents can verify permissions or clean up old entries. This keeps your account tidy without manual oversight. You define the policy, and the agent enforces it.

Setup guide

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

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

const result = await agent.generate(
  "List recent CallRail 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 CallRail. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

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 CallRail MCP in Mastra AI

Yes, you can enable requireToolApproval for any sensitive action. The agent will pause until you confirm the operation.

You import the server and spread its tools into your agent definition. It takes one line of code to make the data available.

Vinkius manages all connections through secure isolated environments. Your call metadata remains strictly within your authorized agent session.

The framework includes built-in retries for every tool call. If a request to list calls fails, the system tries again before reporting an error.

Your information is treated as ephemeral data. Once the agent workflow finishes, the session state is purged to ensure total privacy.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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