Tencent START MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Tencent START through the 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="Tencent START Assistant",
instructions=(
"You help users interact with Tencent START. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Tencent START"
)
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 Tencent START MCP Server
Connect your AI agents to Tencent START Cloud Gaming (GS), the high-performance PaaS platform for cloud-native gaming. This MCP provides 11 tools to automate game instance locking, session creation, and scaling management.
The OpenAI Agents SDK auto-discovers all 11 tools from Tencent START through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Tencent START, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Session Lifecycle — Lock workers, create server sessions, and stop games programmatically
- Resource Management — Monitor worker status and availability across different game IDs
- User Monitoring — Track concurrent users and worker assignments in real-time
- Capacity Scaling — Modify concurrency limits to dynamically adjust to player demand
The Tencent START MCP Server exposes 11 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 Tencent START to OpenAI Agents SDK via MCP
Follow these steps to integrate the Tencent START 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 11 tools from Tencent START
Why Use OpenAI Agents SDK with the Tencent START MCP Server
OpenAI Agents SDK provides unique advantages when paired with Tencent START 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
Tencent START + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Tencent START MCP Server delivers measurable value.
Automated workflows: build agents that query Tencent START, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Tencent START, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Tencent START tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Tencent START to resolve tickets, look up records, and update statuses without human intervention
Tencent START MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect Tencent START to OpenAI Agents SDK via MCP:
create_session
Initialize a cloud gaming session
get_capacity_limit
Check max concurrent user limit for a game
get_concurrent_user_info
Check current concurrency for a game
get_worker_info
Get worker info for a specific user
list_games
List games available on the Tencent GS platform
list_workers
List status of cloud gaming workers
modify_capacity_limit
Update max concurrent user limit for a game
stop_game
Ends a game session and releases the instance
stop_publish_stream
Stops the video stream for a specific user
stop_publish_stream_by_action
Stops the video stream using an explicit action code
try_lock_worker
Locks a cloud gaming instance for a specific user
Example Prompts for Tencent START in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Tencent START immediately.
"List all cloud games available in region 'ap-guangzhou'."
"Check the status of workers for game 'game_101'."
"Modify the concurrency limit for game 'game_202' to 100 users."
Troubleshooting Tencent START MCP Server with OpenAI Agents SDK
Common issues when connecting Tencent START to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Tencent START + OpenAI Agents SDK FAQ
Common questions about integrating Tencent START 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 Tencent START 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 Tencent START to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.