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How to Use the Gipuzkoa Irekia MCP in LangChain

Feed real-time Basque regional data directly into your LangChain chains and ReAct agents.

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LangChain

Connect Gipuzkoa Irekia MCP to LangChain

Create your Vinkius account to connect Gipuzkoa Irekia 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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Map Basque public data structures in active chains

Your LangChain agent uses `list_groups` to discover thematic datasets and routes the output to the next step of your chain. This tool maps out public data categories like environment or budget before you execute a query. LangSmith traces every step of this process, tracking token usage and execution latency. You see exactly how your chain transitions from discovering groups to fetching specific files.

Run multi-step searches with the MCP Server

The MCP Server exposes `search_packages` so your LangChain agent can find specific datasets about Gipuzkoa infrastructure. Evaluating the search results, the agent decides which identifier to pass to the next tool in the sequence. Integrating this with your existing vector stores or SQL databases takes only a few lines of code. Your agent acts as an autonomous researcher, pulling raw Basque metadata directly into your application context.

Retrieve raw resource metadata on demand

Accessing specific files requires your LangChain chain to call `show_resource` to grab the target URL. The agent parses the returned payload to extract CSV or JSON links for immediate processing. Because the MCP adapter handles the connection state, your pipelines remain completely stateless. You get clean, structured data payloads without writing custom API wrappers for the regional portal.

Setup guide

Set up Gipuzkoa Irekia 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 Gipuzkoa Irekia 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({
    "gipuzkoa-irekia-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 Gipuzkoa Irekia 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 Gipuzkoa Irekia. 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 Gipuzkoa Irekia MCP in LangChain

Install the MCP adapter package and initialize the client with the server URL. You then fetch the tools using the client and pass them directly to your agent constructor.
Yes, every execution of tools like `search_packages` shows up in your LangSmith dashboard automatically. Monitoring latency, input parameters, and exact payloads returned from the Basque open data API becomes straightforward.
Use a ReAct agent loop that first queries `list_organizations` to identify the data owner. After that, the agent chains that output into `show_organization` to locate the exact datasets you need.
Direct queries go straight to the public API, which operates under standard regional rate limits. If you hit these thresholds, the tools return structured error messages that your agent can read and handle.
Vinkius runs the server in an isolated sandbox, so you don't have to worry about third-party logs. Only public regional metadata and dataset URLs are processed, keeping your local application data secure.

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