How to Use the EU Court Deadline Calculator MCP in CrewAI

Deploy a specialized legal crew in CrewAI. Automate European court deadlines with autonomous, multi-agent collaboration.

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Connect EU Court Deadline Calculator MCP to CrewAI

Create your Vinkius account to connect EU Court Deadline Calculator to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup EU Court Deadline Calculator with CrewAI

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Autonomous deadline monitoring

Assign the `calculate_deadline` tool to a research agent in your crew. It will compute filing dates independently as it processes legal documents. Your agents work in parallel to ensure no deadline is missed. It takes the manual burden of date math off your team.

Holiday-verified agent actions

Give your moderator agent access to `check_holiday_status` to validate every deadline proposed by the crew. It serves as a final check before any action is taken. This creates a system of checks and balances. Your agents ensure the final filing date is valid for the target country.

Multi-region legal coordination

Use `list_jurisdictions` to define the scope for your research agents. They can identify the correct court level for any given European case automatically. This allows your crew to scale across different countries. Each agent knows exactly which jurisdictions it is authorized to handle.

Setup guide

Set up EU Court Deadline Calculator 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 EU Court Deadline Calculator tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent EU Court Deadline Calculator transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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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="EU Court Deadline Calculator Analyst",
        goal="Access and analyze EU Court Deadline Calculator data via MCP.",
        backstory="Expert analyst with direct EU Court Deadline Calculator access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent EU Court Deadline Calculator 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 →

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