How to Use the Callpicker MCP in Mastra AI

Q: How do I get a list of all extensions using Callpicker and Mastra AI?

Your agent can use the listpbxextensions tool. The result is a clean array that you can process directly in your workflow, for example, to sync your PBX directory with another internal system.

Build failure-proof telephony workflows with Mastra AI. Automate call logging, reporting, and follow-up actions using Callpicker's tools.

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Connect Callpicker MCP to Mastra AI

Create your Vinkius account to connect Callpicker 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 Callpicker with Mastra AI

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Build Resilient Call Workflows

Create a Mastra AI agent that periodically checks for new calls using `list_call_logs`. When a new call appears, the agent's workflow can automatically fetch the full context with `get_call_details` and store it for auditing. Mastra's real strength is handling failure. If the `get_call_details` tool fails due to a network blip, the agent can retry automatically with exponential backoff. You can build a workflow that guarantees every single call is processed. You don't get that with simple scripts.

Route and Alert Based on Call Data

Your agent can pull a Call Detail Record using `get_cdr_report`. From there, Mastra's conditional logic engine takes over. For example, your workflow can check if a call's duration was zero, flagging it as a missed call. Based on that condition, the agent can trigger another action. It could send a notification to a Slack channel or even use the `make_call` tool to automatically call the number back. This is all defined in your Mastra workflow, connecting its logic to Callpicker's MCP tools.

Automate PBX System Monitoring

Set up a Mastra agent that runs on a simple cron schedule. Its only job is to use the `get_pbx_system_status` tool to check if your phone system is online and healthy. If the status check returns an error, Mastra's workflow engine kicks in. It can automatically trigger an alert to your on-call team's PagerDuty. You don't have to write custom retry or notification logic; it's part of the framework. This particular MCP Server makes it simple to add telephony checks to your automated monitoring.

Setup guide

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

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

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

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Common questions about Callpicker MCP in Mastra AI

Create a Mastra AI agent with a cron trigger. In its workflow, instruct it to call the `get_cdr_report` tool and then pass the results to another tool that saves or emails the file. Mastra handles the scheduling.

Yes. Mastra AI has built-in retry logic with exponential backoff. If the `make_call` tool fails, you can configure the agent to try again a few times before logging an error or alerting a human.

Your agent can use the `list_pbx_extensions` tool. The result is a clean array that you can process directly in your workflow, for example, to sync your PBX directory with another internal system.

Create a workflow that triggers after a call completes. It can use `list_call_recordings` to find the latest recording for a given number and then `get_recording_url` to get the specific link. This is a common pattern for this MCP Server.

Your CDR data is only passed through the Mastra AI agent during the workflow's execution. The Vinkius-hosted MCP server for Callpicker uses an encrypted connection, and the data is not stored long-term on the server itself. Your auth token secures all access.

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