HowLongToBeat MCP Server for AutoGen 1 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add HowLongToBeat as an MCP tool provider through the 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="howlongtobeat_agent",
tools=tools,
system_message=(
"You help users with HowLongToBeat. "
"1 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 HowLongToBeat MCP Server
Equip your AI agent with the ultimate gaming library intelligence via the HowLongToBeat MCP server. This integration provides instant access to the world's most trusted source for game completion times. Your agent can search for any video game and retrieve precise timing data for the 'Main Story', 'Main + Extra', and 'Completionist' runs. Whether you're planning your backlog, deciding on your next purchase, or auditing your play style, your agent acts as a dedicated gaming advisor through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use HowLongToBeat tools. Connect 1 tools through the 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
- Game Time Search — Find how long it takes to beat any video game.
- Playstyle Comparison — Compare durations for different completion levels (story vs. 100%).
- Release Intelligence — Retrieve world release dates and exact game titles for thousands of entries.
- Backlog Auditing — Summarize expected playtimes for entire lists of games.
The HowLongToBeat MCP Server exposes 1 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 HowLongToBeat to AutoGen via MCP
Follow these steps to integrate the HowLongToBeat 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 1 tools from HowLongToBeat automatically
Why Use AutoGen with the HowLongToBeat MCP Server
AutoGen provides unique advantages when paired with HowLongToBeat through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use HowLongToBeat tools to solve complex tasks
Role-based architecture lets you assign HowLongToBeat 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 HowLongToBeat tool calls
Code execution sandbox: AutoGen agents can write and run code that processes HowLongToBeat tool responses in an isolated environment
HowLongToBeat + AutoGen Use Cases
Practical scenarios where AutoGen combined with the HowLongToBeat MCP Server delivers measurable value.
Collaborative analysis: one agent queries HowLongToBeat while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from HowLongToBeat, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using HowLongToBeat data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process HowLongToBeat responses in a sandboxed execution environment
HowLongToBeat MCP Tools for AutoGen (1)
These 1 tools become available when you connect HowLongToBeat to AutoGen via MCP:
search_game_times
Search for game completion times
Example Prompts for HowLongToBeat in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with HowLongToBeat immediately.
"How long does it take to beat the main story of The Witcher 3?"
"Is 'Hades' a short game for a completionist?"
"Compare the completion times for 'Skyrim' and 'Starfield'."
Troubleshooting HowLongToBeat MCP Server with AutoGen
Common issues when connecting HowLongToBeat to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"HowLongToBeat + AutoGen FAQ
Common questions about integrating HowLongToBeat 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?
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Connect HowLongToBeat to AutoGen
Get your token, paste the configuration, and start using 1 tools in under 2 minutes. No API key management needed.