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How to Use the AskHandle MCP in Mastra AI

Build resilient support workflows by connecting the AskHandle MCP Server to Mastra AI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect AskHandle MCP to Mastra AI

Create your Vinkius account to connect AskHandle 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.

GDPR Free for Subscribers

Automate AskHandle room routing

Managing customer conversations starts with `list_rooms` and `retrieve_room` to analyze incoming requests. Your Mastra AI workflow engine evaluates the chat context and decides which escalation path to take based on message content. If a room requires human intervention, the agent triggers a notification sequence. Built-in exponential backoff ensures the operation retries automatically if the initial API call drops.

Process leads with conditional branching

Extracting user details fires `create_lead` inside a structured Mastra step. The framework evaluates the response and branches the logic—if the lead saves successfully, it sends a welcome text via `send_message`. Failures trigger a different path entirely. The agent logs the error or attempts to parse the contact info again, keeping your pipeline moving without crashing the entire process.

Control webhooks via Mastra AI MCP Server

Routing dynamic events relies on `create_webhook` and `delete_webhook` to manage active listeners. Workflows spin up temporary webhooks for a specific campaign and tear them down when the sequence completes. You verify active connections using `list_webhooks` before deploying new ones. This prevents duplicate event triggers across your infrastructure.

Setup guide

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

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

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

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 AskHandle MCP in Mastra AI

Run `npm install @mastra/mcp@latest`. Configure `MCPClient` with your Vinkius URL, then spread `mcpClient.listTools()` into your agent's tool array.
The framework automatically catches failed tool executions. You set the exponential backoff parameters, and it handles the retry logic for sending messages or creating leads.
You decide. By enabling `requireToolApproval`, you force the agent to pause before executing write operations like sending a chat reply.
Test API connectivity first using the `get_me` MCP tool. Then check the built-in workflow logs to trace exactly which tools the agent invoked and what data returned.
Contact names and email addresses never touch persistent storage. The Vinkius zero-trust architecture processes your workflow inside a temporary sandbox that vanishes milliseconds after the run finishes.

Start using the AskHandle MCP today

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

Built & Managed by Vinkius 30s setup 12 tools

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