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Dripcel MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Dripcel through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "dripcel": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Dripcel Agent",
    instructions:
      "You help users interact with Dripcel " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Dripcel?"
  );
  console.log(result.text);
}

main();
Dripcel
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Dripcel MCP Server

Integrate Dripcel, the powerful WhatsApp automation platform, directly into your AI workflow. Manage your WhatsApp instances and connection statuses, track identified contacts and phone numbers, monitor message history and templates, and oversee your messaging operations using natural language.

Mastra's agent abstraction provides a clean separation between LLM logic and Dripcel tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Instance Oversight — List and retrieve detailed information and connection status for all your WhatsApp instances.
  • Contact Intelligence — Monitor identified contacts, their phone numbers, and last interaction history across your organization.
  • Messaging Intelligence — Monitor real-time messaging logs, delivery statuses, and approved templates via chat.
  • Automation Auditing — Retrieve high-level summaries of instance activity, connection health, and active in-progress communications.

The Dripcel MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Dripcel to Mastra AI via MCP

Follow these steps to integrate the Dripcel MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Dripcel via MCP

Why Use Mastra AI with the Dripcel MCP Server

Mastra AI provides unique advantages when paired with Dripcel through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Dripcel without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Dripcel tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Dripcel + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Dripcel MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Dripcel, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Dripcel as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Dripcel on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Dripcel tools alongside other MCP servers

Dripcel MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Dripcel to Mastra AI via MCP:

01

get_dripcel_account_metadata

Retrieve metadata and limits for your Dripcel account

02

get_instance_details

Get detailed settings and information for a specific WhatsApp instance

03

get_whatsapp_connection_status

Identify if a specific WhatsApp instance is currently connected and authenticated

04

list_instance_contacts

List all contacts registered or identified within a specific WhatsApp instance

05

list_whatsapp_instances

List all WhatsApp instances configured in your Dripcel account

06

list_whatsapp_messages

List recent messages sent or received by a specific instance

07

list_whatsapp_templates

List all message templates configured for a specific instance

08

quick_instance_health_audit

Retrieve a high-level summary of all instances and their connection states

09

search_instance_contacts

Search for contacts within an instance using a keyword or phone number

10

send_whatsapp_message

Send a text message via a specific WhatsApp instance

Example Prompts for Dripcel in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Dripcel immediately.

01

"List all active WhatsApp instances."

02

"Send message 'Your order is ready' to '+1 555-0123' via instance 'main_inst'."

03

"Check the connection health for instance 'sales_inst'."

Troubleshooting Dripcel MCP Server with Mastra AI

Common issues when connecting Dripcel to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Dripcel + Mastra AI FAQ

Common questions about integrating Dripcel MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Dripcel to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.