Tencent START MCP Server for AutoGen 11 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Tencent START as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="tencent_start_agent",
tools=tools,
system_message=(
"You help users with Tencent START. "
"11 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Tencent START tools. Connect 11 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Tencent START MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 11 tools from Tencent START automatically
Why Use AutoGen with the Tencent START MCP Server
AutoGen provides unique advantages when paired with Tencent START through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Tencent START tools to solve complex tasks
Role-based architecture lets you assign Tencent START tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Tencent START tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Tencent START tool responses in an isolated environment
Tencent START + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Tencent START MCP Server delivers measurable value.
Collaborative analysis: one agent queries Tencent START while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Tencent START, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Tencent START data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Tencent START responses in a sandboxed execution environment
Tencent START MCP Tools for AutoGen (11)
These 11 tools become available when you connect Tencent START to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Tencent START to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Tencent START + AutoGen FAQ
Common questions about integrating Tencent START MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Tencent START with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 AutoGen
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
