How to Use the WMATA MCP in OpenAI Agents SDK
Real-time WMATA travel planning for your OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect WMATA MCP to OpenAI Agents SDK
Create your Vinkius account to connect WMATA to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Track Bus Movement with MCP Server
The `get_bus_positions` tool tracks every Metrobus vehicle in real time. You get the bus ID, route ID, and precise latitude/longitude coordinates, plus how many seconds it's off schedule. Need to know where something is? Use this data for passenger wait time estimates or simply show a user exactly where the X2 bus currently sits on the map.
Handle All System Incidents via OpenAI Agents SDK
Incident tracking requires multiple calls. `get_rail_incidents` reports Red Line delays and power issues, while `get_bus_incidents` details road closures or accidents affecting Metrobus routes. Together, these tools give your agent a full picture of system disruption. It lets the user know if they need to switch from Metrorail to an alternative bus route.
Plan Full Journeys with MCP Server
`get_bus_routes` lists every WMATA-operated bus service, giving you all necessary route IDs. Then, `get_station_entrances` provides street-level wayfinding details for the station itself. Your agent can build a full itinerary: Start at a specific entrance, take the train to a station code, and then walk out using the nearest exit coordinates.
Set up WMATA MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all WMATA tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives WMATA tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate WMATA tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="WMATA Agent",
instructions="You have access to WMATA tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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.
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Common questions about WMATA MCP in OpenAI Agents SDK
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