How to Use the 100ms MCP in OpenAI Agents SDK
Build production-ready video operations agents with OpenAI Agents SDK that manage 100ms rooms and active sessions safely.
Works with every AI agent you already use
…and any MCP-compatible client
Connect 100ms MCP to OpenAI Agents SDK
Create your Vinkius account to connect 100ms 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.
Manage live sessions with OpenAI guardrails
Your multi-agent system can monitor active video calls and intervene automatically. When a moderator agent detects a policy violation, it triggers a handoff to an enforcement agent that calls `remove_peer` to kick the disruptive participant out of the session. You stop writing custom moderation backends. The agent checks `list_peers` to identify the user, validates the action against your defined safety constraints, and executes the removal with full tracing visible in your OpenAI dashboard.
Provision 100ms rooms dynamically
Agents can spin up new video environments on demand without human oversight. An onboarding agent reads a user request, fires off `create_room` to generate the space, and immediately returns the join credentials to the client. Manual room creation disappears from your operations queue. If settings need adjustments later, the agent just hits `update_room` to tweak capacities or recording toggles, keeping everything within your strict production guardrails.
Audit video sessions and recordings
A specialized compliance agent can pull historical data across your entire video infrastructure. It grabs data via `list_sessions` to see who attended past meetings and pulls cloud storage links using `list_recordings`. You skip the manual dashboard digging. The agent cross-references room IDs, fetches session metadata through `get_session`, and dumps a formatted audit report directly into your logging pipeline.
Set up 100ms 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 100ms tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives 100ms tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate 100ms 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="100ms Agent",
instructions="You have access to 100ms 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 100ms. 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 100ms MCP in OpenAI Agents SDK
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