How to Use the Lyko MCP in CrewAI

Q: How do I configure CrewAI agents to use the Lyko MCP Server tools?

You can pass the server URL directly into your Agent's mcps parameter during initialization. For advanced setups, use MCPServerHTTP from the crewai.mcp package to filter specific tools.

Q: Can a CrewAI agent autonomously book train tickets using Lyko?

Yes, your booking agent can call booktrip once the planning agent confirms the itinerary. The CrewAI agent processes the returned ticket JSON and extracts the QR code for validation.

Q: How do CrewAI agents share transit network alerts from Lyko?

Your monitoring agent calls getnetworkstatus to detect disruptions and writes the alert to shared memory. The routing agent immediately reads this update and adjusts its active journey plans.

Q: Can I limit which Lyko MCP Server tools a specific CrewAI agent can access?

Yes, you can use a toolfilter in your CrewAI MCP configuration. This prevents your research agent from accessing booktrip while allowing full access to searchstops.

Run autonomous multi-agent teams in CrewAI using this MCP Server to monitor European transit networks, coordinate arrivals, and book trips.

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Create your Vinkius account to connect Lyko 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 Lyko with CrewAI

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Multi-agent coordination in CrewAI

`get_arrivals` provides real-time train and bus landing times to your specialized CrewAI tracking agents. While one CrewAI agent monitors the landing platform, a second agent tracks flight delays, coordinating the exact pickup window. The agents share memory to update their plans as Lyko arrival times shift. This setup prevents your pickup drivers from arriving too early or waiting around during transit delays.

Autonomous route discovery and mapping

`get_nearby_stops` and `search_stops` allow your research agents to map out local transit options around any coordinate. The CrewAI agent searches for stations, identifies served lines, and passes the stop IDs to the routing agent. The routing agent then calls `plan_trip` to build the final multi-modal itinerary. This collaborative execution ensures your autonomous team finds the most efficient routes without human intervention.

Line route analysis and schedule tracking

`get_line_routes` and `get_line_info` give your analysis agents access to complete stop sequences and operating frequencies. The CrewAI agent parses the transit patterns to identify service gaps or express route variations. This data feeds into your team's planning memory to optimize long-distance travel schedules. Your agents analyze the entire transit network structure before recommending a route.

Setup guide

Set up Lyko 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 Lyko tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Lyko 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="Lyko Analyst",
        goal="Access and analyze Lyko data via MCP.",
        backstory="Expert analyst with direct Lyko access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Lyko 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 Lyko. 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 Lyko MCP in CrewAI

You can pass the server URL directly into your Agent's `mcps` parameter during initialization. For advanced setups, use `MCPServerHTTP` from the `crewai.mcp` package to filter specific tools.

Yes, your booking agent can call `book_trip` once the planning agent confirms the itinerary. The CrewAI agent processes the returned ticket JSON and extracts the QR code for validation.

Your monitoring agent calls `get_network_status` to detect disruptions and writes the alert to shared memory. The routing agent immediately reads this update and adjusts its active journey plans.

Yes, you can use a `tool_filter` in your CrewAI MCP configuration. This prevents your research agent from accessing `book_trip` while allowing full access to `search_stops`.

All transit credentials, ticket details, and geolocation coordinates are processed in memory within zero-trust sandboxes. The server immediately discards these payloads after returning the response to your CrewAI agent.

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