How to Use the UK Legislation MCP in AutoGen

Q: What if I need to search legislation by a specific year using AutoGen?

One agent initiates the query using getlegislationbyyear. A second agent then reviews that list against other criteria, like subject matter found via searchbysubject, refining the results for you.

Get consensus answers on complex UK Legislation using AutoGen's multi-agent debate framework.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect UK Legislation MCP to AutoGen

Create your Vinkius account to connect UK Legislation to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup UK Legislation with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debating Legislative Compliance with MCP Server

You can set up a system where one agent searches for general rules using `search_legislation`, while another acts as a 'Risk Assessor' and critiques the findings. They debate until they reach consensus. This multi-agent approach is perfect for complex compliance questions, ensuring multiple viewpoints check the facts provided by the MCP Server.

Structured Analysis of UK Legislation using AutoGen

One agent calls `get_table_of_contents` to understand the structure. A second agent then uses that map to pinpoint and retrieve specific content via `get_section`. They argue over which section is most relevant. This deliberation process guarantees you see all necessary parts of a large legislative document.

Cross-Referencing Legal Requirements with AutoGen

Need to compare multiple statutes? Agent A can use `get_recent_legislation` for new rules, while Agent B uses `search_by_subject` for established law. They negotiate the final best practice. The outcome is a reasoned decision based on competing inputs from the official UK legislation database.

Setup guide

Set up UK Legislation 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 UK Legislation 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="UK Legislation_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent UK Legislation data")
print(result.messages[-1].content)

Get your connection token →

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="UK Legislation_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent UK Legislation 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 UK Legislation. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect UK Legislation now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about UK Legislation MCP in AutoGen

It forces deliberation. You set up agents with opposing goals (e.g., speed vs. compliance). They debate the findings from tools like `get_legislation`, forcing a consensus on the safest answer.

Yes. You don't get one-shot answers. The system cycles through agents that call different tools (`get_schedule`, `search_legislation`) until all perspectives are covered and a decision is reached.

Yes. The server provides direct access to official acts and statutory instruments. By running these tools through multiple agents, you get redundancy—if one finding is questionable, another agent will challenge it.

The server touches acts, statutory instruments, sections, and schedules. You can also retrieve general details using `get_legislation` and find indexes with `get_table_of_contents`.

One agent initiates the query using `get_legislation_by_year`. A second agent then reviews that list against other criteria, like subject matter found via `search_by_subject`, refining the results for you.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript