How to Use the Datos Abiertos Castilla-La Mancha MCP in LangChain

Pull Castilla-La Mancha public data directly into your LangChain runs to build multi-step regional analysis chains.

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Connect Datos Abiertos Castilla-La Mancha MCP to LangChain

Create your Vinkius account to connect Datos Abiertos Castilla-La Mancha 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 Datos Abiertos Castilla-La Mancha with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Map Castilla-La Mancha open data in LangChain

This MCP Server connects your chains to Spanish regional data through `list_datasets` and `get_dataset`. Your agents can dig through public records without you writing custom API wrappers. They grab the exact dataset ID and feed it to the next step. LangSmith tracks the entire sequence so you see exactly how much data passes between steps. If a run slows down, you pinpoint the exact tool call that caused the bottleneck.

Filter regional records with LangChain agents

The `search_datastore` tool lets your agent query specific rows and columns inside the Castilla-La Mancha datastore. Instead of downloading a massive CSV, your chain extracts only the rows it needs. This keeps your token usage low and your context window clean. You can mix this with other tools in your LangChain setup to cross-reference Spanish regional statistics with internal databases. The agent decides when to filter and when to fetch based on the conversation flow.

Inspect metadata using `list_tags` and `get_resource`

The `list_tags` tool exposes the organizational structure of the Castilla-La Mancha portal directly to your LangChain chain. Your agent reads these tags to understand what topics are available before requesting specific resources. It prevents blind API calls that waste your run budget. Once the agent identifies the correct tag, it triggers `get_resource` to pull the actual file details. This two-step discovery process runs autonomously inside your LangGraph state machine.

Setup guide

Set up Datos Abiertos Castilla-La Mancha 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 Datos Abiertos Castilla-La Mancha 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({
    "datos-abiertos-castilla-la-mancha-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 Datos Abiertos Castilla-La Mancha transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Datos Abiertos Castilla-La Mancha. 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 Datos Abiertos Castilla-La Mancha MCP in LangChain

Vinkius manages the connection pooling and rate limits on its hosted infrastructure. Your LangChain agent just makes standard tool calls, and our sandbox handles the backend queuing so your runs do not crash.

Yes, you can register the MCP tools with any LangGraph node. One agent can search for datasets while another processes the tabular data returned from the datastore.

No, the adapter formats the tool outputs into clean JSON strings that your LLM reads directly. You avoid writing boilerplate parsing code for regional Spanish datasets.

You use the MultiServerMCPClient from the adapter package to aggregate different endpoints. This lets your agent query Spanish data alongside your other enterprise tools.

Vinkius uses ephemeral V8 sandboxes that handle the public portal queries in memory. No Castilla-La Mancha open data or query parameters are written to persistent disks on our servers.

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