How to Use the CallFire MCP in OpenAI Agents SDK
Connect OpenAI Agents SDK to CallFire for automated voice broadcast and SMS campaign tracking.
Works with every AI agent you already use
…and any MCP-compatible client
Connect CallFire MCP to OpenAI Agents SDK
Create your Vinkius account to connect CallFire 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.
Monitor Campaigns with OpenAI Agents SDK
Your production agents need visibility into high-volume outreach. Passing this MCP Server to your agent constructor auto-discovers endpoints for monitoring broadcast performance. Built-in guardrails validate requests before your agent calls `get_campaign` or `list_calls`. You get full tracing in the OpenAI dashboard when the system pulls contact histories.
Audit SMS and Voice Logs
Handoffs between specialized agents work best when they share ground truth. One agent executes `list_texts` to find failed deliveries, while another reviews the specific payloads. Fetching individual records via `get_text` or `get_call` gives your safety systems exact timestamps and routing data. Nothing gets assumed.
Inspect CallFire MCP Server Webhooks
Routing events correctly requires knowing your current configuration. Your agent reads active endpoints using `list_webhooks` to confirm delivery destinations. Digging into specific trigger rules happens through `get_webhook`. You verify exactly where your contact updates from `list_contacts` are heading.
Set up CallFire 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 CallFire tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives CallFire tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate CallFire 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="CallFire Agent",
instructions="You have access to CallFire 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 CallFire. 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 CallFire MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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