How to Use the CallGear MCP in OpenAI Agents SDK

Q: How do I connect the CallGear MCP Server to my OpenAI Agents SDK?

Install openai-agents and spin up MCPServerStreamableHttp pointing to the Vinkius endpoint. Pass the server instance inside the mcpservers list when initializing your Agent.

Q: Does the CallGear MCP integration with OpenAI Agents SDK support caching?

Yes, set cacheToolsList=True in your parameter configuration. This prevents the SDK from querying the server for tool schemas on every single agent loop.

Get raw CallGear telemetry straight into your OpenAI Agents SDK pipeline with safety guardrails.

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Connect CallGear MCP to OpenAI Agents SDK

Create your Vinkius account to connect CallGear 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 CallGear with OpenAI Agents SDK

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Run Safe Call Audits on OpenAI Agents SDK

The `get_calls_report` tool pulls raw phone logs directly into your OpenAI Agents SDK runtime for automated compliance checks. Your agent inspects durations, timestamps, and caller IDs, passing the structured output to downstream validation steps. Because the SDK enforces strict tool schemas, you get clean, predictable JSON payloads without having to write custom parsers. By combining this with `list_call_scenarios`, your agent verifies if incoming calls routed through the correct paths. You can configure handoffs between specialized agents, letting one agent extract the call history while another cross-references the routing logic in real-time.

Track Campaign ROI via this MCP Server

The `get_ad_campaigns_report` tool exposes daily marketing spend and performance metrics directly to your Python-based OpenAI agents. This MCP Server lets your agent monitor daily fluctuations in lead acquisition costs across multiple networks. You use `list_ad_campaigns` to map active campaigns to their respective traffic sources. By caching the tool list with `cacheToolsList=True`, your multi-agent system quickly routes these requests without hitting discovery bottlenecks during high-frequency execution.

Audit Call Tags and Traffic Sources

The `list_tags` tool fetches every tag applied to your phone interactions, enabling your agent to map customer sentiment directly to marketing channels. This data feeds into your OpenAI agent pipeline, where it pairs with `list_traffic_sources` to attribute offline conversions to specific digital ads. Your agents trace these data paths on the OpenAI dashboard, giving you complete visibility over how the model processes each record via this MCP integration. The SDK's built-in guardrails validate the incoming arrays before your code executes any downstream business logic.

Setup guide

Set up CallGear 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 CallGear tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate CallGear 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="CallGear Agent",
            instructions="You have access to CallGear 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 CallGear MCP in OpenAI Agents SDK

Install `openai-agents` and spin up `MCPServerStreamableHttp` pointing to the Vinkius endpoint. Pass the server instance inside the `mcp_servers` list when initializing your Agent.

Yes, set `cacheToolsList=True` in your parameter configuration. This prevents the SDK from querying the server for tool schemas on every single agent loop.

You control access by defining specific agent boundaries or using separate API tokens. The SDK manages these permissions at the agent constructor level.

Your agent handles rate limits by catching execution exceptions during tool calls. The SDK tracing dashboard logs these failures, allowing you to implement backoff strategies.

CallGear call logs and communication reports travel directly from the Vinkius sandbox to your Python runtime. No data is stored on Vinkius, and OpenAI only processes the data in memory according to your API privacy agreements.

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