How to Use the JustCall MCP in OpenAI Agents SDK

Q: How do I connect JustCall to the OpenAI Agents SDK?

Install openai-agents via pip. Instantiate MCPServerStreamableHttp with your Vinkius endpoint URL. Pass it to the Agent constructor in the mcpservers array.

Q: Can the OpenAI Agents SDK read JustCall SMS threads?

Yes, the agent calls listmessages and getmessagedetails. It pulls the full text history into the context window so it knows what was said before replying.

Q: Does the OpenAI Agents SDK cache JustCall tool definitions?

You should set cacheToolsList=True when configuring the MCP Server. This stops the agent from fetching the schema on every single turn, which drops latency for high-volume deployments.

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Connect JustCall MCP to OpenAI Agents SDK

Create your Vinkius account to connect JustCall 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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Setup JustCall with OpenAI Agents SDK

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Perplexity

OpenAI Agents SDK routing for call logs

Your agent uses `list_calls` and `get_call_details` to pull recent communication history before handing off to a specialized support agent. You define the guardrails in the OpenAI dashboard. The agent checks if a call happened, reads the duration, and decides the next step based on actual interaction data. Tracing comes built-in. When the agent fires `get_contact` to verify a customer profile, you see the exact request and response payload. This means you catch bad API calls during staging, long before they hit your live system.

Automated outbound messaging

The `send_message` tool pushes SMS or MMS directly from your application logic. You configure the agent to trigger a text after a missed call. It grabs an unassigned number via `list_account_numbers` and dispatches the text immediately. You don't have to write custom retry logic. The MCP Server handles the HTTP request, and if the JustCall endpoint throws a temporary error, the SDK manages the backoff. You just tell the system what message to send.

Team and webhook management

Your agent maps internal routing rules using `list_team_users` and `list_webhooks`. It reads the active team roster to find who is available. It then creates a routing decision without hardcoding user IDs into your Python scripts. Setting up a new contact is just as direct. The agent executes `create_contact` with the parsed details from a web form. The new record appears in your JustCall dashboard instantly.

Setup guide

Set up JustCall 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

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

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 JustCall tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives JustCall tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate JustCall 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="JustCall Agent",
            instructions="You have access to JustCall tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about JustCall MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Instantiate `MCPServerStreamableHttp` with your Vinkius endpoint URL. Pass it to the Agent constructor in the `mcp_servers` array.

Yes, the agent calls `list_messages` and `get_message_details`. It pulls the full text history into the context window so it knows what was said before replying.

You should set `cacheToolsList=True` when configuring the MCP Server. This stops the agent from fetching the schema on every single turn, which drops latency for high-volume deployments.

The API rejects the request and returns an error to the tool. The agent reads this failure, applies your configured guardrails, and logs the attempt in your OpenAI trace.

Vinkius isolates your server in a V8 sandbox. When your agent pulls phone numbers or SMS transcripts via `list_contacts`, the data streams straight to your OpenAI environment. The ephemeral sandbox destroys itself after the session, leaving zero trace of your customer records.

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