How to Use the Telebroad MCP in OpenAI Agents SDK
Automate complex telephony tasks with the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Telebroad MCP to OpenAI Agents SDK
Create your Vinkius account to connect Telebroad to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Initiating Calls and Sending SMS
The `send_call` tool starts a voice conversation immediately. You can also use `send_sms` to send text messages from your agent. Your agent doesn't just call; it manages the full sequence. It uses these tools to ensure that if a direct call fails, the system automatically pivots to an SMS alert instead.
Managing Call Records
Need to track what happened? `list_call_history` pulls all past call logs into your workflow. You can also get real-time status updates by running `list_active_calls`. These functions let you build accountability directly into the agent's process, so every interaction is logged and traceable via the OpenAI Agents SDK.
Retrieving User Data
The `get_profile` tool fetches the current user’s contact information. Need to know where everyone else is? Use `list_phone_destinations` to pull all internal extensions. This data ensures your agent addresses people correctly and routes calls properly, building reliable communication chains.
Set up Telebroad 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 Telebroad tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Telebroad tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Telebroad 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="Telebroad Agent",
instructions="You have access to Telebroad 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 Telebroad. 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
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Live
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Built-in savings
60%
lower AI costs
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place for every integration
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Common questions about Telebroad MCP in OpenAI Agents SDK
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