How to Use the Cedar AI MCP in Google ADK

Connect Cedar AI to the Google ADK to let your Gemini agents act on live rail inventory and shipment data.

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Connect Cedar AI MCP to Google ADK

Create your Vinkius account to connect Cedar AI 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 Cedar AI with Google ADK

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Perplexity

Sync rail data with Google ADK

Your Gemini-powered agent calls `list_work_orders` to pull active tasks into its context window. It reasons over the entire list to prioritize your day. This MCP Server provides the bridge between your cloud data and the agent. You keep your operations running on Google infrastructure.

Execute railcar movements in Google ADK

The agent triggers `setout_cars` and `pickup_cars` based on your specific operational constraints. It logs these events as they happen. Engineers use this to automate yard management. The agent maintains the state while you focus on higher-level planning.

Query rail documentation efficiently

Use `get_waybill_details` to feed specific shipment info into your agent's long-context memory. It handles the parsing of complex rail documents. Your agent can now answer questions about specific waybills instantly. It saves time on manual lookups and document review.

Setup guide

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

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Why Choose Vinkius

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cedar AI MCP in Google ADK

Install the framework and initialize an McpToolset with your server URL. Pass this set into your LlmAgent constructor to enable the rail tools.

The toolset supports all twelve operations. You can filter them using the tool_names argument if your agent only needs a subset.

Absolutely. You can pipe rail inventory data directly into Gemini. It handles the large context effortlessly.

The connection remains fast. Your agent receives tool responses in real-time, allowing for rapid decision-making on the yard floor.

We enforce strict isolation for your railcar data. No logs are retained on our servers once your session closes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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