WSLA (WhatsApp) MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 5 tools to Get Whatsapp Media Details, List Whatsapp Templates, Send Whatsapp Reaction, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect WSLA (WhatsApp) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The WSLA (WhatsApp) app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 5 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="WSLA (WhatsApp) Assistant",
instructions=(
"You help users interact with WSLA (WhatsApp). "
"You have access to 5 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from WSLA (WhatsApp)"
)
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 WSLA (WhatsApp) MCP Server
Connect your WhatsApp Business Platform (via Meta Cloud API) to any AI agent to automate your customer communications. WSLA provides a direct bridge to Meta's infrastructure for reliable, scalable messaging.
The OpenAI Agents SDK auto-discovers all 5 tools from WSLA (WhatsApp) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries WSLA (WhatsApp), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Conversational AI — Send instant text messages to any WhatsApp number during active customer support windows.
- Business Notifications — Use pre-approved message templates for proactive alerts, appointment reminders, and shipping updates.
- Interactive Reactions — Allow your AI agent to react to incoming customer messages with emojis for more natural engagement.
- Template Management — List and search all approved templates associated with your WhatsApp Business Account.
- Media Intelligence — Retrieve details for incoming media to enable multi-modal interactions through your AI agent.
The WSLA (WhatsApp) MCP Server exposes 5 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.
All 5 WSLA (WhatsApp) tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to WSLA (WhatsApp) through Vinkius, your AI agent gets direct access to every tool listed below — spanning whatsapp-api, conversational-ai, business-messaging, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get media details
List message templates
React to a WhatsApp message
Send a WhatsApp template message
Send a text message via WhatsApp
Connect WSLA (WhatsApp) to OpenAI Agents SDK via MCP
Follow these steps to wire WSLA (WhatsApp) into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the 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 WSLA (WhatsApp) MCP Server
OpenAI Agents SDK provides unique advantages when paired with WSLA (WhatsApp) 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
WSLA (WhatsApp) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the WSLA (WhatsApp) MCP Server delivers measurable value.
Automated workflows: build agents that query WSLA (WhatsApp), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries WSLA (WhatsApp), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through WSLA (WhatsApp) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query WSLA (WhatsApp) to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for WSLA (WhatsApp) in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with WSLA (WhatsApp) immediately.
"Send a WhatsApp message 'Welcome to our service!' to +1234567890."
"List all approved templates for my business account."
Troubleshooting WSLA (WhatsApp) MCP Server with OpenAI Agents SDK
Common issues when connecting WSLA (WhatsApp) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
WSLA (WhatsApp) + OpenAI Agents SDK FAQ
Common questions about integrating WSLA (WhatsApp) 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.