How to Use the EMT Madrid (Open Data) MCP in CrewAI

Q: How do I pass EMT Madrid (Open Data) tools to a CrewAI agent?

You add the Vinkius MCP endpoint URL to the agent's mcps list. This gives that specific agent direct access to getbusarrivals and listbicimadstations during its execution cycle.

Q: Does CrewAI support sequential routing tasks?

Yes, you can chain tasks so that the output of planbusroute is automatically fed into getbusarrivals to verify the actual arrival time of the first bus on the route.

Q: Is my EMT Madrid developer account information safe with CrewAI?

Yes, your credentials remain isolated. The login tool runs inside the secure Vinkius MCP environment, ensuring your private accessToken and client ID are never exposed to the LLM or the CrewAI logs.

Deploy a coordinated team of transit agents to monitor Madrid buses and bikes with CrewAI.

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Connect EMT Madrid (Open Data) MCP to CrewAI

Create your Vinkius account to connect EMT Madrid (Open Data) 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.

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Setup EMT Madrid (Open Data) with CrewAI

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Run Madrid Transit Crews Using MCP Server Tools

The `get_bus_arrivals` tool fetches live wait times for any stop in the municipal network. Within a CrewAI team, a dedicated transit agent can feed these times to a moderator agent. While one agent watches the bus arrivals, another uses `list_bicimad_stations` to check nearby BiciMAD bike docks. They collaborate to recommend the fastest overall commute option to the user.

Optimize Multi-Modal Routes Autonomously

The `plan_bus_route` tool calculates transit paths across the city using EMT's internal routing engine. Your CrewAI analyst agent passes coordinates to this tool to generate initial travel plans. A second quality-assurance agent then double-checks the plan against live arrival data. If the scheduled bus is delayed, the crew dynamically recalculates the route.

Keep Crew Agents Authenticated with EMT Madrid

The `login` tool connects your agents to the EMT MobilityLabs developer portal to retrieve an active accessToken. CrewAI manages this credential step before assigning tasks to the rest of the crew. A specialized manager agent runs the login sequence in the background. This ensures the researcher agents always have active credentials when querying real-time bus or bike data.

Setup guide

Set up EMT Madrid (Open Data) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke EMT Madrid (Open Data) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="EMT Madrid (Open Data) Analyst",
    goal="Access and analyze EMT Madrid (Open Data) data via MCP.",
    backstory="Expert analyst with direct EMT Madrid (Open Data) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent EMT Madrid (Open Data) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="EMT Madrid (Open Data) Analyst",
        goal="Access and analyze EMT Madrid (Open Data) data via MCP.",
        backstory="Expert analyst with direct EMT Madrid (Open Data) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent EMT Madrid (Open Data) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EMT Madrid. 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 EMT Madrid (Open Data) MCP in CrewAI

You add the Vinkius MCP endpoint URL to the agent's `mcps` list. This gives that specific agent direct access to `get_bus_arrivals` and `list_bicimad_stations` during its execution cycle.

Yes, CrewAI agents can share tools or use them independently. One agent can query `list_bicimad_stations` while another calculates paths using `plan_bus_route` simultaneously.

You should limit the frequency of tool execution in your agent definitions. Have your crew cache the output of `list_bicimad_stations` to prevent hitting the strict EMT daily caps.

Yes, you can chain tasks so that the output of `plan_bus_route` is automatically fed into `get_bus_arrivals` to verify the actual arrival time of the first bus on the route.

Yes, your credentials remain isolated. The `login` tool runs inside the secure Vinkius MCP environment, ensuring your private accessToken and client ID are never exposed to the LLM or the CrewAI logs.

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