How to Use the SnapCall MCP in OpenAI Agents SDK
Get immediate call intelligence into your workflow using the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect SnapCall MCP to OpenAI Agents SDK
Create your Vinkius account to connect SnapCall 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.
Key Capabilities
Track and analyze past interactions.
You can pull a full history of calls with `list_call_streams` to see what happened. Then, grab the specific details for any session using `get_call_details`. This means your agent doesn't just summarize; it lets you audit every call that ever took place.
Automate actions after a meeting ends.
Need something to happen when the conversation hits a certain point? Set up a webhook using `create_webhook` for triggers like `call.started`. You can also remove old webhooks later with `delete_webhook`. The agent handles the plumbing, so you don't have to.
Build custom video content requests.
Sometimes you need a specific asset from a customer. Instead of just talking about it, your agent can formally request it using `create_video_clip_request`. This function handles the entire workflow for getting that required clip and tracking its status.
Set up SnapCall 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 SnapCall tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives SnapCall tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate SnapCall 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="SnapCall Agent",
instructions="You have access to SnapCall 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 SnapCall. 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 SnapCall MCP in OpenAI Agents SDK
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