HowLongToBeat MCP Server for Google ADK 1 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add HowLongToBeat as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="howlongtobeat_agent",
instruction=(
"You help users interact with HowLongToBeat "
"using 1 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports HowLongToBeat as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the HowLongToBeat MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 1 tools from HowLongToBeat via MCP
Why Use Google ADK with the HowLongToBeat MCP Server
Google ADK provides unique advantages when paired with HowLongToBeat through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with HowLongToBeat
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine HowLongToBeat tools with BigQuery, Vertex AI, and Cloud Functions
HowLongToBeat + Google ADK Use Cases
Practical scenarios where Google ADK combined with the HowLongToBeat MCP Server delivers measurable value.
Enterprise data agents: ADK agents query HowLongToBeat and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine HowLongToBeat tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query HowLongToBeat regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including HowLongToBeat
HowLongToBeat MCP Tools for Google ADK (1)
These 1 tools become available when you connect HowLongToBeat to Google ADK via MCP:
search_game_times
Search for game completion times
Example Prompts for HowLongToBeat in Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting HowLongToBeat to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkHowLongToBeat + Google ADK FAQ
Common questions about integrating HowLongToBeat MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect HowLongToBeat to Google ADK
Get your token, paste the configuration, and start using 1 tools in under 2 minutes. No API key management needed.