How to Use the Gipuzkoa Irekia MCP in LlamaIndex

Q: Can LlamaIndex query Gipuzkoa Irekia resources in real time?

Yes, your agent can invoke showresource dynamically during a query cycle. This allows the engine to fetch the latest download URLs and parse the underlying data on the fly.

Q: Does the Gipuzkoa Irekia MCP Server support allowedtools filtering in LlamaIndex?

Yes, you can restrict your agent to specific tools like searchpackages during initialization. Restricting tools keeps your agent focused and prevents unnecessary API calls to the Basque portal.

Index Basque regional datasets directly into your LlamaIndex vector stores for grounded RAG applications.

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Connect Gipuzkoa Irekia MCP to LlamaIndex

Create your Vinkius account to connect Gipuzkoa Irekia 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.

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Setup Gipuzkoa Irekia with LlamaIndex

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Build LlamaIndex search indexes from Basque metadata

The MCP Server provides `list_packages` to feed public dataset names directly into your LlamaIndex ingestion pipeline. Your agent indexes these names to create a local, searchable catalog of regional resources. This setup prevents your model from hallucinating file names or government organizations. Querying the local vector store first ensures your agent works with real, verified registry data.

Pull live resource links into RAG with the MCP Server

Your LlamaIndex query engine uses `show_resource` to fetch direct download links for public CSV or JSON files. The tool returns the exact metadata required to locate the latest regional updates. By combining this live retrieval with document loaders, your system reads government spreadsheets in real time. You get up-to-date answers on municipal budgets or public transport schedules.

Categorize regional data by organization

Your agent calls `show_organization` to understand who publishes specific datasets in the Basque territory. LlamaIndex stores this organizational context alongside the raw text chunks in your index. This structured metadata allows you to filter search results by department or public agency. Your queries become highly targeted, returning only the files owned by the relevant regional authority.

Setup guide

Set up Gipuzkoa Irekia MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 Gipuzkoa Irekia MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 Gipuzkoa Irekia tools.",
)
response = await agent.run("List recent Gipuzkoa Irekia data")

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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 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 LlamaIndex

Load the tools into your LlamaIndex environment using the MCP tool spec. From there, your agent can call `list_packages` and write the returned metadata directly into your vector store.

Yes, your agent can invoke `show_resource` dynamically during a query cycle. This allows the engine to fetch the latest download URLs and parse the underlying data on the fly.

Yes, you can restrict your agent to specific tools like `search_packages` during initialization. Restricting tools keeps your agent focused and prevents unnecessary API calls to the Basque portal.

The tools return standard CKAN JSON payloads containing metadata for datasets, groups, and resources. Your ingestion pipelines can easily parse these dictionaries into standard Document objects.

Vinkius handles all API communication through zero-trust ephemeral sandboxes using an isolated MCP sandbox. Your search queries and retrieved regional metadata are never cached or stored on the hosting platform.

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