How to Use the EU Limitation Periods Calculator MCP in AutoGen

Q: How do I give an AutoGen agent access to this MCP Server?

Use the mcpservertools function from the autogen-ext library. You provide the URL to this MCP Server, and it returns a list of tool functions that you can register with your AssistantAgent.

Let your AutoGen agents debate and agree on correct EU legal deadlines, reducing calculation errors through consensus.

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Connect EU Limitation Periods Calculator MCP to AutoGen

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Setup EU Limitation Periods Calculator with AutoGen

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Agent-Driven Rule Analysis

Assign one agent to be the researcher. This agent's job is to use `get_limitation_info` to find the standard duration, start triggers, and interruption rules for a given claim and country. It then presents its findings to the other agents in the group. This isn't just a data lookup; it's the opening statement in a structured debate about the correct legal interpretation.

Debate and Verify Expiry Dates

A second agent can act as an auditor. It takes the researcher's findings and challenges them by running `calculate_expiry_date` with different start dates or assumptions, probing for edge cases. Through this back-and-forth conversation, the agents converge on a verified deadline. This consensus-driven approach is much more reliable than a single agent making an unchecked calculation.

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This is for building systems where the answer isn't obvious and requires deliberation. Before the debate even starts, an agent can use `list_supported_jurisdictions` to confirm the calculator covers the necessary country. You're not just calling tools. You're creating a team of specialists that discuss the problem, check each other's work, and agree on a final answer. It's a powerful way to model legal reasoning.

Setup guide

Set up EU Limitation Periods Calculator MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes EU Limitation Periods Calculator tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="EU Limitation Periods Calculator_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent EU Limitation Periods Calculator data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="EU Limitation Periods Calculator_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent EU Limitation Periods Calculator data")
    print(result.messages[-1].content)

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 EU Limitation Periods Calculator. 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 EU Limitation Periods Calculator MCP in AutoGen

You can assign the tools to one or more agents in a group. For instance, a 'researcher' agent can fetch rules, and a 'verifier' agent can calculate dates, with both agents discussing the results to reach a consensus.

Yes. AutoGen's design is perfect for this. You can give the `get_limitation_info` tool to an analyst agent and the `calculate_expiry_date` tool to a calculation agent, creating a separation of concerns within your agent group.

Absolutely. The deterministic nature of the tools provides a solid foundation of facts. Your AutoGen agents can then debate the implications of those facts to arrive at a more robust, validated conclusion.

Use the `mcp_server_tools` function from the `autogen-ext` library. You provide the URL to this MCP Server, and it returns a list of tool functions that you can register with your AssistantAgent.

The MCP is isolated from the conversation. It only receives the specific inputs required by the tool being called, such as a country, claim type, and start date. It has no access to the agent dialogue or any other context.

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