How to Use the FreeClimb MCP in Mastra AI

Q: Can I use FreeClimb to build an automated IVR with Mastra AI?

Yes. You combine listapplications and getapplicationdetails to configure and route incoming calls through your Mastra workflows.

Q: Where does this FreeClimb MCP Server store my call logs and phone numbers?

Your telephony metadata, including numbers returned by listmynumbers, is processed entirely in memory. Vinkius runs this server in an isolated sandbox, ensuring no permanent logging of your private communication records occurs.

Run automated, self-healing FreeClimb telecom workflows using Mastra AI agents and this MCP server with built-in retry logic.

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Connect FreeClimb MCP to Mastra AI

Create your Vinkius account to connect FreeClimb 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 FreeClimb with Mastra AI

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Self-Healing Voice Workflows in Mastra AI

This MCP Server connects the `make_call` and `list_conferences` tools to Mastra's state machine for automated call routing. If a call fails to connect, Mastra triggers an automatic retry with exponential backoff. You write clean TypeScript steps that branch based on call outcomes. Your agent handles the logic, ensuring live conferences never drop without an automated backup plan.

Automated Messaging Escalations

The `send_sms` and `get_sms_details` tools allow your Mastra workflows to send notifications and verify delivery status. If a text delivery fails, the workflow automatically escalates to an alternative communication path. You define these transition rules in pure TypeScript code. The framework executes each step sequentially, logging every SMS status change along the way.

Account Balance Guardrails

Using `get_account_status`, your Mastra agent checks your available balance before initiating high-volume outbound campaigns. If the balance drops below your specified threshold, the workflow pauses and alerts your admin. This programmatic check prevents API failures mid-campaign. You avoid runaway loops that could drain your budget by setting hard limits in your Mastra workflow steps.

Setup guide

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

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

const result = await agent.generate(
  "List recent FreeClimb 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 FreeClimb. 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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place for every integration

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Common questions about FreeClimb MCP in Mastra AI

Mastra's built-in engine catches rate-limit errors from tools like `send_sms`. It automatically retries the operation using exponential backoff to protect your API standing.

Yes. You combine `list_applications` and `get_application_details` to configure and route incoming calls through your Mastra workflows.

You instantiate the MCPClient pointing to the Vinkius endpoint. From there, you spread the tools returned by the client directly into your agent configuration.

Yes. Mastra supports human-in-the-loop validation, letting you halt the workflow before the `send_sms` tool executes.

Your telephony metadata, including numbers returned by `list_my_numbers`, is processed entirely in memory. Vinkius runs this server in an isolated sandbox, ensuring no permanent logging of your private communication records occurs.

Use it with your favorite AI tools

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