How to Use the Placetel MCP in OpenAI Agents SDK

Q: How do I link Placetel to my OpenAI Agents SDK project?

You instantiate the server using MCPServerStreamableHttp and pass it to your agent constructor. This connects your agent to the live API endpoints, allowing for immediate tool discovery.

Directly manage your Placetel infrastructure from within your OpenAI Agents SDK production environment.

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Connect Placetel MCP to OpenAI Agents SDK

Create your Vinkius account to connect Placetel to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Placetel with OpenAI Agents SDK

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Claude

Perplexity

Automated user and group management

Your agent handles administrative tasks by hitting `get_user` and `get_group` endpoints directly. It parses the returned JSON to update internal state without manual intervention. This MCP Server provides the interface for your agent to verify account details against live data. You avoid context-switching by letting the agent query `list_users` or `list_groups` when orchestrating complex provisioning workflows.

Real-time call and device monitoring

Use your agent to audit traffic by calling `list_calls` and `list_call_detail_records` as events happen. The agent inspects these records to flag anomalies in your communication flow. Your agent can cross-reference active sessions against `list_devices` to identify offline hardware. It keeps your logs accurate by pulling data straight from the source instead of relying on stale cache files.

SIP user and number inventory tracking

The agent maintains a live view of your telephony assets using `list_sip_users` and `list_numbers`. It ensures your system records match your actual configuration at all times. Querying `get_sip_user` allows the agent to validate credentials or status for specific lines. You gain a clear audit trail that tracks every change in your number inventory through the agent's log output.

Setup guide

Set up Placetel 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 Placetel tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Placetel. 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.

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Common questions about Placetel MCP in OpenAI Agents SDK

You instantiate the server using `MCPServerStreamableHttp` and pass it to your agent constructor. This connects your agent to the live API endpoints, allowing for immediate tool discovery.

Yes, but you should cache the tool list to keep performance high. The server is designed to handle frequent requests for `list_call_detail_records` without blocking your agent's main loop.

Your agent receives the raw error response from the tool execution. Because the system uses built-in guardrails, it catches the failure before it cascades into your downstream logic.

Vinkius manages the transport layer with an ephemeral sandbox. Your agent communicates over an encrypted channel using a single endpoint token.

It accesses read-only account metadata including user profiles, SIP configurations, and call logs. No sensitive personal credentials or recording audio files are exposed to the agent.

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