How to Use the SleekFlow MCP in OpenAI Agents SDK
Manage multi-channel conversations with your OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect SleekFlow MCP to OpenAI Agents SDK
Create your Vinkius account to connect SleekFlow to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Gemini
Key Capabilities
Monitor all channels via MCP Server
The `list_channels` tool shows every communication endpoint connected to SleekFlow. You'll immediately see if WhatsApp, Instagram, or another channel is live and ready for use. It lists conversations across multiple platforms using `list_conversations`. This lets your agent know exactly where the customer reached out, keeping everything in one place.
Check contact details with OpenAI Agents SDK
Use `get_contact_details` to pull specific information on a single person. You can verify names, IDs, and other data points right before your agent sends a reply. Need to manage groups? The `list_contacts` tool gives you a full roster of every contact in the system.
Automate message replies with MCP Server
`send_message` lets your agent send a direct reply into an active conversation. This is how you keep the customer moving down the funnel without waiting for human input. You can also check available processes using `list_automation_flows`. Knowing what flows exist helps you guide the agent on the right response path.
Set up SleekFlow MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all SleekFlow tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives SleekFlow tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate SleekFlow tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="SleekFlow Agent",
instructions="You have access to SleekFlow tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main())Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SleekFlow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about SleekFlow MCP in OpenAI Agents SDK
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