How to Use the Channels MCP in Mastra AI

Q: Can Mastra AI search Channels contacts?

Use the listcontacts tool to pull your full directory into the agent memory. You can then filter or sort this list within your workflow logic.

Q: Does Channels support Mastra AI human-in-the-loop?

Set the requireToolApproval flag on sensitive actions like deletecontact. This forces the agent to pause until you click confirm.

Build automated support workflows in Mastra AI with Channels tools.

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Connect Channels MCP to Mastra AI

Create your Vinkius account to connect Channels 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 Channels with Mastra AI

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Automated contact updates for Mastra AI agents

Update customer records based on workflow triggers. Use `update_contact` to sync CRM states automatically when an agent identifies a change. If the process hits a snag, Mastra handles the retry logic. You just define the step, and the server executes the mutation.

Handle Channels webhooks in Mastra AI workflows

Set up listeners with `create_webhook` to kick off agent tasks. Your workflow can check `list_webhooks` to ensure your triggers remain active. This allows your agents to react to incoming messages instantly. It creates a closed loop between your support channel and your automation engine.

Manage support users with Mastra AI

Keep your team list synced using `list_users`. You can build logic that assigns support tickets based on which agents appear in the current account. This keeps your operations running without manual oversight. The tools provide the ground truth for your agent's decision-making process.

Setup guide

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

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

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

Use the `list_contacts` tool to pull your full directory into the agent memory. You can then filter or sort this list within your workflow logic.

Import the server tools and spread them into your agent definition. The Mastra framework will handle the tool execution flow automatically.

Set the `requireToolApproval` flag on sensitive actions like `delete_contact`. This forces the agent to pause until you click confirm.

We store your authentication tokens in an encrypted vault. Only the active MCP session can access the necessary keys to talk to your account.

The server treats your call logs as ephemeral payloads. Once your agent finishes the analysis, the raw data drops from the active execution buffer.

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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