Dripcel MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Dripcel through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Dripcel Assistant",
instructions=(
"You help users interact with Dripcel. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Dripcel"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Dripcel through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dripcel, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Dripcel MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Dripcel
Why Use OpenAI Agents SDK with the Dripcel MCP Server
OpenAI Agents SDK provides unique advantages when paired with Dripcel through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Dripcel + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Dripcel MCP Server delivers measurable value.
Automated workflows: build agents that query Dripcel, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Dripcel, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Dripcel tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Dripcel to resolve tickets, look up records, and update statuses without human intervention
Dripcel MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Dripcel to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Dripcel to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Dripcel + OpenAI Agents SDK FAQ
Common questions about integrating Dripcel MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Dripcel with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Dripcel to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.