How to Use the UK Legislation MCP in LangChain
Build complex, multi-step reasoning pipelines using LangChain with UK Legislation data.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up UK Legislation MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 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
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
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
Use it with your favorite AI tools
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