How to Use the NHL MCP in Google ADK

Q: How can Google ADK agents process NHL standings?

Your agent invokes getcurrentstandings to retrieve the latest table data. It then formats this information for your specific reporting requirements.

Q: Does Google ADK support historical NHL lookups?

You can use getlegacygameboxscore to pull records from past matchups. This gives your agent access to years of league history for trend analysis.

Q: Can I restrict which NHL tools Google ADK uses?

Yes. Use a toolnames filter in your toolset definition to limit access. This ensures your agent only interacts with the specific endpoints you authorize.

Connect your Google ADK agents to official league data for deep reasoning and enterprise analytics.

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Connect NHL MCP to Google ADK

Create your Vinkius account to connect NHL to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup NHL with Google ADK

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Perplexity

Enterprise NHL data access for Google ADK

Your agent runs complex queries across the entire league dataset using `get_records_franchise_team_totals`. It pulls historical benchmarks to support your internal decision-making processes. This MCP Server bridges the gap between your cloud environment and the league API. Your agent gains immediate access to verified records without building custom scrapers.

Deep game analysis with Google ADK

Trigger `get_game_play_by_play` to feed granular event data into your reasoning pipeline. Your agent processes these sequences to identify patterns in team performance. Because the server maps the full play-by-play feed, your agent works with high-fidelity inputs. It turns raw event logs into actionable insights for your team dashboards.

Roster and team management tools

Use `get_team_roster` to pull current squad lists for any season. Your agent maintains an updated view of every franchise by checking roster changes throughout the year. This capability allows your agent to correlate player stats with specific team configurations. It keeps your data models accurate by pulling directly from the league source.

Setup guide

Set up NHL MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with NHL tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="NHL_agent",
    model="gemini-2.0-flash",
    instruction="You have access to NHL tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NHL. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about NHL MCP in Google ADK

Your agent invokes `get_current_standings` to retrieve the latest table data. It then formats this information for your specific reporting requirements.

You can use `get_legacy_game_boxscore` to pull records from past matchups. This gives your agent access to years of league history for trend analysis.

Yes. Use a tool_names filter in your toolset definition to limit access. This ensures your agent only interacts with the specific endpoints you authorize.

The server performs lightweight requests for specific endpoints. This prevents your agent from hitting memory limits while processing large league datasets.

All traffic is handled via encrypted transport layers. The server only retrieves public league statistics and never touches your private Google Cloud storage or internal files.

Use it with your favorite AI tools

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