How to Use the FareHarbor MCP in Google ADK

Connect your Google ADK agents to live tour data with the FareHarbor MCP server.

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Connect FareHarbor MCP to Google ADK

Create your Vinkius account to connect FareHarbor 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 FareHarbor with Google ADK

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Query FareHarbor data in Google ADK

Connect your agent to live inventory using the `McpToolset`. It pulls data directly from FareHarbor, allowing your agent to reason over current availability and booking status. Since it supports Stdio and HTTP, you can deploy it alongside your existing Google Cloud infrastructure. Your agent gets a direct pipeline to company and item data without extra middleware.

Manage tour bookings via Google ADK

Execute `create_booking` calls directly from your agent logic. It processes the request and returns the booking confirmation immediately for your downstream systems. This keeps your booking state aligned with the source. You don't need to write custom API wrappers, just call the tools provided by the server.

Enterprise-ready integration for Google ADK

Use `list_items` to index your tour catalog into your agent's context. This allows for long-context reasoning over your entire product offering when answering customer queries. Filter exposed tools if you need to restrict agent access. You maintain full control over which actions your agent is allowed to perform on your FareHarbor account.

Setup guide

Set up FareHarbor 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 FareHarbor 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="FareHarbor_agent",
    model="gemini-2.0-flash",
    instruction="You have access to FareHarbor tools via MCP.",
    tools=mcp_tools,
)

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Common questions about FareHarbor MCP in Google ADK

Initialize the McpToolset with your server URL and pass it to your LlmAgent. It handles the transport layer so you can start calling tools immediately.

Absolutely. You can fetch data using these tools and pipe the output into your BigQuery tables for long-term analysis.

The server uses ephemeral, zero-trust connections. Your booking credentials never touch the model directly, keeping sensitive data isolated within the sandbox.

You can use the list tools to pull specific datasets. If you need complex filtering, handle it within your agent's reasoning logic after fetching the raw results.

The tool returns an error response. You can catch this in your agent loop and decide whether to retry the operation or log it for review.

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