Vapi 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 Vapi through the 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="Vapi Assistant",
instructions=(
"You help users interact with Vapi. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Vapi"
)
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 Vapi MCP Server
Connect your Vapi account to any AI agent and bring the power of automated voice communication into your standard conversational workspace.
The OpenAI Agents SDK auto-discovers all 10 tools from Vapi through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Vapi, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Phone Calling — Send commands instructing the agent to place outbound human-like phone calls and establish web ringing connections through Vapi's PSTN/WebRTC capabilities.
- Call Transcripts — Search through recent call logs, retrieve call details natively, and pull raw voice-to-text transcripts or conversation metrics.
- Persona Engineering — Ask your chat agent to build new Vapi assistants, update their system prompts, change its specific model, or mutate Voice IDs on the fly.
- Squad Routing — List available telephony numbers, tools, and multi-agent squads natively to configure advanced conversational pathways.
The Vapi 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 Vapi to OpenAI Agents SDK via MCP
Follow these steps to integrate the Vapi 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 Vapi
Why Use OpenAI Agents SDK with the Vapi MCP Server
OpenAI Agents SDK provides unique advantages when paired with Vapi 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
Vapi + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Vapi MCP Server delivers measurable value.
Automated workflows: build agents that query Vapi, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Vapi, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Vapi tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Vapi to resolve tickets, look up records, and update statuses without human intervention
Vapi MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Vapi to OpenAI Agents SDK via MCP:
create_assistant
Provide configuration for transcriber, model, and voice as a JSON string. Create a new Voice AI assistant persona
create_phone_call
Provide the phone number ID and customer details. Start a new outbound phone call via Vapi
create_web_call
Returns a web call configuration. Generate a new web-based voice call link
get_call_details
Retrieves details, transcripts, and metrics for a specific call
list_agent_tools
List all tools available to Vapi assistants
list_assistants
List all Voice AI assistants configured in Vapi
list_calls
List recent and active voice calls managed by Vapi
list_phone_numbers
List all phone numbers connected to Vapi
list_squads
List all multi-agent squads
update_assistant
Update an existing assistant configuration
Example Prompts for Vapi in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Vapi immediately.
"List all our configured Voice assistants and their IDs."
"Get the details and full transcript for call ID 'vapi1234'."
"Update assistant 'Bot Support' to change its `model.model` parameter to `gpt-4o-mini`."
Troubleshooting Vapi MCP Server with OpenAI Agents SDK
Common issues when connecting Vapi to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Vapi + OpenAI Agents SDK FAQ
Common questions about integrating Vapi 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 Vapi 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 Vapi to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
