How to Use the CometChat MCP in Mastra AI

Q: How do I list active CometChat groups inside a Mastra AI workflow?

The agent invokes listgroups during a workflow step. The returned array is parsed to route subsequent notifications to the correct channel.

Build reliable, multi-step workflows that manage CometChat groups and users using Mastra AI.

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Connect CometChat MCP to Mastra AI

Create your Vinkius account to connect CometChat 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 CometChat with Mastra AI

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Claude

Perplexity

Automated User Lifecycles with Mastra AI

When a customer leaves your platform, you need to clean up their messaging profiles. This MCP Server lets your Mastra workflow trigger `deactivate_user` or `delete_user` automatically when an account closes. No manual database syncing required. Mastra handles the error states if the network drops during the API call. The workflow retries the `get_user` check until it confirms the account state, keeping your user directory clean.

Fail-Safe Group Management

Setting up channels for new teams requires precision. Your agent can run `create_group` and check the result with `get_group_details` in a single Mastra workflow step. If the group name is taken, Mastra handles the conditional branch to try another name. You can set up human-in-the-loop approval before any group is modified. This keeps your team in control while the agent handles the heavy lifting of organizing channels with `list_groups`.

Incident Response and Message Dispatch

When an alert goes off, your workflow needs to notify the right people. Mastra triggers `send_message` to alert specific channels, pulling current member lists first via `list_users` to find active on-call staff. If the message fails to send, Mastra's built-in retry engine backs off and tries again. You don't write complex loop logic just to send a basic text notification.

Setup guide

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

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

const result = await agent.generate(
  "List recent CometChat 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 CometChat. 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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Common questions about CometChat MCP in Mastra AI

Instantiate the client with your Vinkius credentials. Then, register the tools directly with your Mastra Agent instance to make them available to your workflows.

Yes. Mastra's workflow engine automatically retries calls to tools like `send_message` if the server returns rate-limit errors.

The agent invokes `list_groups` during a workflow step. The returned array is parsed to route subsequent notifications to the correct channel.

Yes. You can configure the MCP tool with approval checks so that `delete_user` only runs after a manager clicks confirm in your dashboard.

Yes, all user profiles and message histories are processed in an ephemeral sandbox. Your API keys are encrypted at rest and never exposed to the LLM.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.