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How to Use the UK Legislation MCP in LangChain

Build complex, multi-step reasoning pipelines using LangChain with UK Legislation data.

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…and any MCP-compatible client

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Connect UK Legislation MCP to LangChain

Create your Vinkius account to connect UK Legislation to LangChain 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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Multi-Step Legislative Research via MCP Server

The `search_legislation` tool kicks off the process by finding relevant acts and statutory instruments. You can then pass those initial results to other tools, like `get_table_of_contents`, to map out exactly what's inside. This lets your ReAct agent build a full chain of thought. It doesn't just search; it walks you through the structure of UK legislation piece by piece.

Targeted Subject Searches for LangChain

Need to know everything about one topic? Start with `search_by_subject` to narrow down massive amounts of data. Once you have a subject area, the agent can call `get_legislation_by_year` next. This sequencing is key. Your chain uses the output of the subject search to refine its query for specific years or sections, making the final answer super accurate.

Deep Dive into Specific Legal Sections

The process starts by finding a general document using `search_legislation`. You can then feed that result's identifier into `get_section` to get the exact text. It’s fast. Your agent can even combine this with `get_schedule`, allowing it to cross-reference an article number against specific scheduling requirements within UK legislation.

Setup guide

Set up UK Legislation MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes UK Legislation tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "uk-legislation-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent UK Legislation transactions"
    })
    print(result["messages"][-1].content)

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.

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Common questions about UK Legislation MCP in LangChain

LangChain uses its agent framework to decide the best tool sequence. It might run `search_legislation` first, then use the resulting document IDs in a subsequent call to `get_table_of_contents`. You don't write the whole flow; the agent figures it out.
Absolutely. The chain can use the `get_recent_legislation` tool, and then follow up by getting specific details using `get_legislation` for the new items found. This keeps your knowledge current.
You can build a multi-step query: first, use `search_by_subject` to establish the scope. Then, loop through multiple years using `get_legislation_by_year`, feeding all those data points back into your final analysis.
Yes. Since the server pulls from official sources, it provides grounded answers. The client structure ensures that every step—from initial search to specific section retrieval—is traceable.
The server handles legislative documents and sections. Specifically, it provides access to acts, statutory instruments, schedules, and general text content from official UK legislation databases.

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