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How to Use the TripGo MCP in Google ADK

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Google ADK

Connect TripGo MCP to Google ADK

Create your Vinkius account to connect TripGo 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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Plan multi-modal journeys for big data use cases.

For large-scale operations, `plan_trip` handles complex public transport planning. It combines buses, trains, trams, and walking into a single output that shows multiple options, timings, and transfers. If your agents need to process thousands of trips, this tool provides the structured data needed for BigQuery ingestion.

Get detailed information about specific stops.

Before an agent commits resources to a stop, run `get_stop_details`. This requires a stop ID and returns comprehensive facility info. You can't just assume what's there. Pairing this with `search_stops` lets your Google ADK agents pinpoint the right location data before planning.

Manage regional coverage across continents.

Need to know if a city is even supported? Use `get_regions`. This tool lists all available transit regions—North America, Europe, etc.—so your agent can verify scope first. This initial check prevents failed API calls and keeps your large-context Gemini reasoning focused on actionable areas.

Setup guide

Set up TripGo 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. 1

    Install Google ADK

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

  2. 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. 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. 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 TripGo 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="TripGo_agent",
    model="gemini-2.0-flash",
    instruction="You have access to TripGo tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TripGo. 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 TripGo MCP in Google ADK

The Google ADK supports connecting to MCP Servers like TripGo via `McpToolset`. Your agents can auto-discover tools, allowing them to use functions such as `get_arrivals` or `plan_trip` directly.
Absolutely. Pass a GPS coordinate to `get_nearby_stops`. The tool returns IDs, names, routes, and distance from that point, letting your agent give accurate directions.
The server handles location coordinates and stop IDs. This is critical for trip planning but is managed securely within your enterprise cloud infrastructure, respecting all local regulations.
Yes. Use `get_route_info` with a specific route ID. This tells you about the route's full coverage area, ensuring your agent doesn't plan trips outside of service boundaries.
You use `get_departures` or `get_arrivals`. These tools take a stop ID and give you the scheduled versus estimated times for upcoming rides, helping your agent advise users accurately.

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