How to Use the WMATA MCP in CrewAI
Run autonomous WMATA operations using CrewAI's specialized multi-agent collaboration framework.
Works with every AI agent you already use
…and any MCP-compatible client
Connect WMATA MCP to CrewAI
Create your Vinkius account to connect WMATA to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Autonomous Network Analysis
Define a Research Agent that runs `get_bus_routes` to list all available routes. Then, pass these IDs to an Analysis Agent which uses `get_bus_route_details` to map out every stop and sequence for journey planning. The CrewAI framework makes this collaboration possible: specialized agents handle the data retrieval and structuring automatically.
Real-Time Coordination Monitoring
Build a monitoring crew that simultaneously checks two sources. One agent runs `get_next_rail` for system-wide train predictions, while another runs `get_circuit_predictions` for bus arrivals at Union Station. The moderator agent then synthesizes the combined schedule into one report. This allows autonomous coordination between Metrorail and Metrobus services.
Comprehensive Service Verification
A specialized Agent can run a check combining `get_rail_incidents` (Metrorail) with `get_bus_incidents` (Metrobus). If both tools report active incidents, the action agent compiles a full status update detailing impacts, severities, and necessary detours. This comprehensive service verification is crucial for emergency or high-stakes operational reports.
Set up WMATA MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke WMATA tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="WMATA Analyst",
goal="Access and analyze WMATA data via MCP.",
backstory="Expert analyst with direct WMATA access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent WMATA transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="WMATA Analyst",
goal="Access and analyze WMATA data via MCP.",
backstory="Expert analyst with direct WMATA access.",
tools=mcp_tools,
)
task = Task(
description="List recent WMATA transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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 CrewAI
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