How to Use the WMATA MCP in Google ADK
Enterprise WMATA transit data integration for Google ADK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect WMATA MCP to Google ADK
Create your Vinkius account to connect WMATA 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.
Manage all WMATA trip planning with MCP Server
The `get_circuit_predictions` tool predicts next bus arrivals at circuit routes, giving you minutes until arrival and the specific vehicle ID. This is great for connecting Metrorail passengers to buses. Your agent can build multi-modal trips. It figures out when a train leaves, then calculates how long until the connecting Metrobus arrives at the stop.
Get Detailed WMATA Route Information
`get_bus_route_details` provides every stop for a specific route in sequence. You also get headsigns and the full path data, which is crucial for mapping or complex journey planning. Don't just know the stops; understand their order. This structure helps you build reliable service area analysis.
Check Station Accessibility with MCP Server
`get_elevator_incidents` reports current elevator and escalator outages at Metrorail stations. It includes affected station codes, descriptions of the outage, and estimated repair times. This is vital for running accessibility checks before an agent suggests a journey to a user with mobility needs.
Set up WMATA MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 WMATA tools in your ADK agent.
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="WMATA_agent",
model="gemini-2.0-flash",
instruction="You have access to WMATA 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 WMATA. 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.
Why Choose Vinkius
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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lower AI costs
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place for every integration
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Common questions about WMATA MCP in Google ADK
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