How to Use the BOE (Boletín Oficial del Estado) MCP in LangChain

Build legal reasoning chains in LangChain with direct access to the Spanish Official State Gazette.

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Connect BOE (Boletín Oficial del Estado) MCP to LangChain

Create your Vinkius account to connect BOE (Boletín Oficial del Estado) 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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Setup BOE (Boletín Oficial del Estado) with LangChain

Ask AI about this MCP

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Claude

Perplexity

Chain legal research in LangChain

Your LangChain agent pulls live data using `get_boe_summary` or `get_borme_summary` to start a reasoning pipeline. The output feeds directly into subsequent nodes. You avoid manual parsing by passing raw results from `get_legislation_text` into your chain. It keeps your workflow strictly defined within your logic.

Search BOE (Boletín Oficial del Estado) metadata

Use `search_consolidated_legislation` to locate specific laws before extracting details with `get_legislation_metadata`. This MCP Server provides the exact schema your agents need to filter through thousands of records. You get structured data ready for your next prompt.

Analyze legislative blocks

Call `get_legislation_block` to extract specific articles or sections for your LangChain agent to evaluate. It handles the heavy lifting of indexing the law. You just provide the ID and your agent gets the precise text required for its next step.

Setup guide

Set up BOE (Boletín Oficial del Estado) MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
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 LangChain BaseTool objects.
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

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes BOE (Boletín Oficial del Estado) tool calls through the MCP protocol.
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({
    "boe-boletin-oficial-del-estado-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 BOE (Boletín Oficial del Estado) transactions"
    })
    print(result["messages"][-1].content)

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Common questions about BOE (Boletín Oficial del Estado) MCP in LangChain

LangChain uses the MCP adapter to communicate with this server. You define the tools in your agent's configuration and it executes calls to the registry as needed.

Yes. Your agent triggers the summary tools at scheduled intervals or on demand. It returns the raw text for immediate processing.

The server exposes standard tool outputs that flow through your existing LangSmith traces. You see every input and output for each legal query.

The server remains stateless. You manage session persistence through your own agent's memory implementation.

This server only touches public legislative records. No personal user data is ever transmitted or stored during these requests.

Use it with your favorite AI tools

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