How to Use the Chaport MCP in Mastra AI

Q: Can Mastra AI require human approval before sending a Chaport message?

Yes. You configure approval requirements on the sendagentmessage tool. The workflow pauses execution until a manager signs off on the drafted response.

Q: How do I pull a specific Chaport visitor profile in Mastra AI?

Your agent executes getvisitordetails with the target ID. The workflow engine captures the returned metadata and passes it to the next step in your pipeline.

Automate customer support workflows with Mastra AI. Connect Chaport to handle chat routing, visitor tracking, and offline responses.

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Connect Chaport MCP to Mastra AI

Create your Vinkius account to connect Chaport 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 Chaport with Mastra AI

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Automate your chat routing logic

Customer inquiries drop into Chaport constantly, and manual triage wastes time. Mastra AI lets you build automated pipelines that react to new visitors without human input. Your workflow triggers `list_website_visitors` to spot high-value prospects browsing your pricing page. Routing happens immediately. If a VIP lands on the site, the agent checks `list_online_agents`. It assigns the conversation to the right person or falls back to an automated greeting if no one is available.

Handle failed messages gracefully

Network hiccups happen, but your Chaport support replies still need to go through. When your agent attempts to fire `send_agent_message`, the framework catches any timeout errors. The built-in engine automatically retries the tool call using exponential backoff. You never lose a critical customer interaction. If the message repeatedly fails, the workflow branches off to notify an admin via Slack or email.

Audit conversations with this MCP Server

Support managers need visibility into how Chaport tickets get resolved. You can set up a scheduled Mastra task that runs `get_visitor_last_chat` for all active users. The agent pulls the transcripts and summarizes the sentiment. Digging deeper requires context. The workflow grabs the full event timeline using `get_chat_history` so you see exactly when operators joined or left the conversation.

Setup guide

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

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

const result = await agent.generate(
  "List recent Chaport 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 Chaport. 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 Chaport MCP in Mastra AI

Initialize a new client and pass the Vinkius MCP Server endpoint URL. Call the list tools method to spread the available communication functions directly into your agent setup.

Yes. You configure approval requirements on the `send_agent_message` tool. The workflow pauses execution until a manager signs off on the drafted response.

The framework auto-detects the transport layer automatically. It connects to our hosted infrastructure using either SSE or Streamable HTTP without requiring manual configuration.

Your agent executes `get_visitor_details` with the target ID. The workflow engine captures the returned metadata and passes it to the next step in your pipeline.

Data privacy remains strict. When your workflow reads message histories or agent profiles, the zero-trust architecture guarantees no payloads are logged or stored on our servers.

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