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How to Use the Goodcall MCP in OpenAI Agents SDK

Build production-grade receptionists with OpenAI Agents SDK. Connect Goodcall tools to your agent for instant, reliable call handling.

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OpenAI Agents SDK

Connect Goodcall MCP to OpenAI Agents SDK

Create your Vinkius account to connect Goodcall 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.

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Full agent control over Goodcall calls

Your agent manages every conversation directly. Use `get_call` and `get_transcript` to feed live data into your system, ensuring your agent knows exactly what happened on every line. It doesn't stop at reading. You can use `update_agent` to change receptionist behavior on the fly, tailoring your phone presence without touching a line of code.

Automated booking and status verification

Stop worrying about missed appointments. The agent pulls data via `list_bookings` to keep your calendar synced and accurate. Integrate `check_goodcall_status` into your initialization flow. It's the standard way to verify that your Goodcall connection is live before the agent starts taking requests.

Deep analytics for your OpenAI agent

Feed call performance back into your training loop. Use `get_analytics` to pull raw numbers, then process them with `list_calls_by_agent` to see how specific configurations perform. This data lets you build agents that actually learn from their own history. It turns your telephony stack into a measurable asset.

Setup guide

Set up Goodcall MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Goodcall tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Goodcall tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Goodcall tools and returns structured results. Copy the full example on the right to get started.

agent.py
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="Goodcall Agent",
            instructions="You have access to Goodcall 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 Goodcall. 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 Goodcall MCP in OpenAI Agents SDK

The server uses endpoint tokens to lock down access. Your OpenAI Agents SDK client only sees what you explicitly allow through the MCP transport layer.
Goodcall is built for sub-500ms response times. Your agent will process transcripts from `get_transcript` almost as fast as the caller speaks.
Yes. Use `update_agent` to push new instructions to your phone receptionist. The changes take effect as soon as the API processes the request.
Yes, `list_missed_calls` gives your agent a clean list of people who tried to reach you. You can then trigger an outbound follow-up action.
The MCP protocol defines strict error handling. If a tool like `get_call_summary` fails, your agent receives an error code instead of partial, junk data.

Start using the Goodcall MCP today

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Built & Managed by Vinkius 30s setup 13 tools

We've already built the connector for Goodcall. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 13 tools are live and waiting. You're up and running in seconds.

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