How to Use the Dripcel MCP in Mastra AI

Q: Can I build an automated alert system if a Dripcel instance goes offline using Mastra AI?

Yes, you can set up a workflow that polls getwhatsappconnectionstatus periodically. If the status returns disconnected, Mastra AI branches to trigger an alert or attempt a reconnect.

Q: Can I require human approval before sending a WhatsApp template?

Yes, you can use the requireToolApproval setting in Mastra. When the agent selects a template from listwhatsapptemplates, it halts execution until a human reviews and approves the send.

Build resilient, self-healing WhatsApp automation workflows with Mastra AI and Dripcel.

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Connect Dripcel MCP to Mastra AI

Create your Vinkius account to connect Dripcel 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 Dripcel with Mastra AI

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Conditional branching for message failures

Workflows break when API limits hit or numbers disconnect. Mastra AI handles this by letting you define strict conditional paths when `send_whatsapp_message` returns a failure code. If a message fails, the workflow engine automatically branches using this MCP connection to check `get_whatsapp_connection_status`. From there, your agent can decide to route the message through an alternative active instance.

Automated instance recovery pipelines

Don't let your messaging pipeline stay down overnight. This integration lets Mastra agents run `quick_instance_health_audit` on a cron schedule to spot disconnected instances. When a disconnected state is detected, the agent triggers a retry sequence or alerts your team. This keeps your communication lines open without requiring constant manual supervision.

Human-in-the-loop contact syncing with this MCP Server

Syncing thousands of contacts can trigger rate limits if you aren't careful. By using Mastra AI with this server, you can enforce a manual approval step before running bulk syncs. The agent compiles the list of contacts using `list_instance_contacts` and pauses for human confirmation. Once approved, it executes the sync while respecting API quotas.

Setup guide

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

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

const result = await agent.generate(
  "List recent Dripcel transactions"
);
console.log(result.text);

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Common questions about Dripcel MCP in Mastra AI

Mastra AI uses its built-in retry engine with exponential backoff. If `list_instance_contacts` hits a rate limit, the workflow pauses and retries automatically until it succeeds.

Yes, you can set up a workflow that polls `get_whatsapp_connection_status` periodically. If the status returns disconnected, Mastra AI branches to trigger an alert or attempt a reconnect.

No, Mastra AI automatically detects the transport protocol whether it is SSE or Streamable HTTP. You just pass the server URL to the constructor of this MCP Server and it handles the connection under the hood.

Yes, you can use the `requireToolApproval` setting in Mastra. When the agent selects a template from `list_whatsapp_templates`, it halts execution until a human reviews and approves the send.

Your instance details and API keys are isolated within a secure MCP runtime environment. The connection uses single-token authentication so your credentials are never exposed to the agent or external logs.

Use it with your favorite AI tools

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