How to Use the UK Legislation MCP in LlamaIndex
Ground your answers in reality: LlamaIndex indexes live data from the UK Legislation MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect UK Legislation MCP to LlamaIndex
Create your Vinkius account to connect UK Legislation to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Building RAG Applications with LlamaIndex and MCP Server
The `search_legislation` tool output doesn't just appear in a chat window; LlamaIndex indexes it into your vector store. This means you can query past results or combine them with internal documents later. When you ask a question, the system searches both the index *and* the live API data simultaneously. You get answers grounded in actual UK legislation.
Tracking Legislative History for LlamaIndex
If you want to know what was active in 2015 versus 2020, use `get_legislation_by_year`. LlamaIndex indexes these results, allowing you to query historical comparisons semantically. This capability lets you ask things like: 'How did the tax law change between 2015 and 2020?' and get a synthesized answer.
Advanced Querying using LlamaIndex MCP Server
Start with `search_by_subject` to gather all relevant documents. The output from this initial query feeds into the index, creating a rich knowledge base for follow-up questions. The system can then use tools like `get_section` on demand while keeping all context within the searchable vector store.
Set up UK Legislation MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all UK Legislation MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to UK Legislation tools.",
)
response = await agent.run("List recent UK Legislation data") 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 LlamaIndex
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