How to Use the Vapi MCP in OpenAI Agents SDK
Run production voice workflows with OpenAI Agents SDK and Vapi.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Vapi MCP to OpenAI Agents SDK
Create your Vinkius account to connect Vapi to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Managing Call Personas with the MCP Server
You configure new Voice AI assistant personas using `create_assistant`, specifying the transcriber, model, and voice. This ensures your agents adopt specific identities before making calls or handling conversations. You can also adjust existing setups when needed. The `update_assistant` tool lets you modify an agent's configuration without having to redeploy the entire system.
Tracking Calls and Metrics for OpenAI Agents SDK
The `get_call_details` tool pulls full transcripts, metrics, and specific data points from any given call. This gives your agent a complete picture of performance after the fact. Need to audit what's available? Use `list_calls` or `list_phone_numbers` to keep track of all recent activity managed by Vapi.
Executing Outbound Calls via MCP Server
Initiate new phone calls directly from your agent logic using `create_phone_call`. You just pass the required phone number ID and customer details, and the call starts. For web-based interactions, `create_web_call` generates a full configuration you can use to start a virtual session.
Set up Vapi 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 Vapi tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Vapi tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Vapi 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="Vapi Agent",
instructions="You have access to Vapi 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 Vapi. 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 Vapi MCP in OpenAI Agents SDK
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