MRPLN MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Create Customer, Get Customer, Get Tactic Performance, and more
GDPR Free for SubscribersThe OpenAI Agents SDK enables production-grade agent workflows in Python. Connect MRPLN 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 for OpenAI Agents SDK
The MRPLN MCP Server for OpenAI Agents SDK is a standout in the Communication Messaging category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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="MRPLN Assistant",
instructions=(
"You help users interact with MRPLN. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from MRPLN"
)
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 MRPLN MCP Server
Connect your MRPLN account to any AI agent to streamline your marketing automation and multi-channel customer engagement. MRPLN provides a unified platform for WhatsApp, SMS, and Email automation powered by AI.
The OpenAI Agents SDK auto-discovers all 10 tools from MRPLN through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MRPLN, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Customer Management — Create, update, and list customers to maintain a clean and actionable marketing database
- WhatsApp Business API — Access your approved WABA templates and send highly engaging messages directly through Meta's official API
- Multi-channel Messaging — Send immediate or automated messages via SMS and Email to reach your audience where they are
- Tactic Monitoring — List and retrieve performance analytics for your marketing tactics to optimize ROI in real-time
- Template Management — List and use pre-approved message templates for consistent brand communication
The MRPLN MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 MRPLN tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to MRPLN through Vinkius, your AI agent gets direct access to every tool listed below — spanning whatsapp-api, sms-marketing, email-automation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create customer on MRPLN
Create a new customer/lead
Get customer on MRPLN
Get details for a specific customer
Get tactic performance on MRPLN
Get performance analytics for a tactic
List customers on MRPLN
List all customers/leads
List tactics on MRPLN
List all marketing tactics
List waba templates on MRPLN
List WhatsApp Business templates
Send email message on MRPLN
Send an email
Send sms message on MRPLN
Send an SMS message
Send whatsapp message on MRPLN
Pass components as a JSON string. Send a WhatsApp message
Update customer on MRPLN
Update an existing customer
Connect MRPLN to OpenAI Agents SDK via MCP
Follow these steps to wire MRPLN into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the MRPLN MCP Server
OpenAI Agents SDK provides unique advantages when paired with MRPLN 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
MRPLN + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the MRPLN MCP Server delivers measurable value.
Automated workflows: build agents that query MRPLN, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries MRPLN, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through MRPLN tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query MRPLN to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for MRPLN in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with MRPLN immediately.
"List all customers in my MRPLN account."
"Send a WhatsApp message to +123456789 using the 'welcome_template'."
"Show me the performance of the 'Winter Sale' tactic."
Troubleshooting MRPLN MCP Server with OpenAI Agents SDK
Common issues when connecting MRPLN to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
MRPLN + OpenAI Agents SDK FAQ
Common questions about integrating MRPLN 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?
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