100ms MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect 100ms through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="100ms Assistant",
instructions=(
"You help users interact with 100ms. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from 100ms"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About 100ms MCP Server
Connect your 100ms account to any AI agent and manage your live video infrastructure through natural conversation.
The OpenAI Agents SDK auto-discovers all 9 tools from 100ms through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries 100ms, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Room Management — List all virtual rooms, retrieve deep technical metadata, and create new rooms with specific templates and descriptions
- Session Monitoring — Monitor active or completed video sessions in real-time and retrieve session history across your organization
- Participant Governance — List all peers (participants) currently in a session and retrieve their unique IDs and roles
- Peer Control — Remotely remove or kick participants from active sessions with custom reasons directly from your agent
- Recording Discovery — List and browse cloud recordings, filtered by room or status (completed, failed, or processing)
- Operational Insights — Quickly find unique room, session, and peer IDs required for automated video workflows
- Scalable Infrastructure — Verify your live video configurations and template settings through automated metadata retrieval
The 100ms MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect 100ms to OpenAI Agents SDK via MCP
Follow these steps to integrate the 100ms MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 9 tools from 100ms
Why Use OpenAI Agents SDK with the 100ms MCP Server
OpenAI Agents SDK provides unique advantages when paired with 100ms through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
100ms + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the 100ms MCP Server delivers measurable value.
Automated workflows: build agents that query 100ms, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries 100ms, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through 100ms tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query 100ms to resolve tickets, look up records, and update statuses without human intervention
100ms MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect 100ms to OpenAI Agents SDK via MCP:
create_room
Use this when the user asks to start or host a new meeting space. Create a new video room
get_room
Requires the unique room ID. Get the configuration and details of a specific video room
get_session
Get the details and metadata of a specific video session
list_peers
Requires the session ID. List all participants currently inside an active video session
list_recordings
Can optionally filter by room ID or the status of the recording. List cloud recordings of video rooms
list_rooms
Use this to find a room ID. List all video rooms in the 100ms account
list_sessions
You can filter by room ID or status. Use this to find who attended past meetings. List active or past video sessions
remove_peer
Requires the session ID and the peer ID. Kick or remove a specific participant from an active video session
update_room
Requires the room ID. Update the settings of an existing video room
Example Prompts for 100ms in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with 100ms immediately.
"List all my video rooms in 100ms."
"Are there any active sessions for the 'Town Hall' room right now?"
"Remove participant 'peer-123' from the session 'sess-abc' for 'violating community guidelines'."
Troubleshooting 100ms MCP Server with OpenAI Agents SDK
Common issues when connecting 100ms to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
100ms + OpenAI Agents SDK FAQ
Common questions about integrating 100ms MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect 100ms with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect 100ms to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
