How do I get a Dripcel API Key?

Log in to your Dripcel dashboard, navigate to your account or profile settings, and you can generate or retrieve your unique API Key from there. API access is available on professional plans.

Can the agent send custom text messages?

Yes, you can use the send_whatsapp_message tool to send plain text messages to any recipient number through your connected Dripcel instance.

Does the integration show real-time instance health?

Yes, you can use the get_whatsapp_connection_status or quick_instance_health_audit tools to see if your instances are currently connected and authenticated with WhatsApp.

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

Name: Dripcel
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Dripcel through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Dripcel "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Dripcel?"
    )
    print(result.data)

asyncio.run(main())

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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.

Pydantic AI validates every Dripcel tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Dripcel with type-safe schemas

Why Use Pydantic AI with the Dripcel MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Dripcel integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Dripcel connection logic from agent behavior for testable, maintainable code

Dripcel + Pydantic AI Use Cases

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

Type-safe data pipelines: query Dripcel with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Dripcel tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Dripcel and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Dripcel responses and write comprehensive agent tests

Dripcel MCP Tools for Pydantic AI (10)

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

get_dripcel_account_metadata

Retrieve metadata and limits for your Dripcel account

get_instance_details

Get detailed settings and information for a specific WhatsApp instance

get_whatsapp_connection_status

Identify if a specific WhatsApp instance is currently connected and authenticated

list_instance_contacts

List all contacts registered or identified within a specific WhatsApp instance

list_whatsapp_instances

List all WhatsApp instances configured in your Dripcel account

list_whatsapp_messages

List recent messages sent or received by a specific instance

list_whatsapp_templates

List all message templates configured for a specific instance

quick_instance_health_audit

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

search_instance_contacts

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

send_whatsapp_message

Send a text message via a specific WhatsApp instance

Example Prompts for Dripcel in Pydantic AI

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

"List all active WhatsApp instances."

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

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

Troubleshooting Dripcel MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Dripcel + Pydantic AI FAQ

Common questions about integrating Dripcel MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Dripcel MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.