Open Data Euskadi MCP Server for LlamaIndexGive LlamaIndex instant access to 2 tools to Execute Sparql Query and Search Euskadi Content

Name: Open Data Euskadi
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Open Data Euskadi as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Open Data Euskadi MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 2 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Open Data Euskadi. "
            "You have 2 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Open Data Euskadi?"
    )
    print(response)

asyncio.run(main())

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About Open Data Euskadi MCP Server

Connect to the Open Data Euskadi ecosystem and interact with the Basque Government's official public data through natural conversation. This server provides direct access to a vast catalog of administrative and semantic information.

LlamaIndex agents combine Open Data Euskadi tool responses with indexed documents for comprehensive, grounded answers. Connect 2 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Content Search — Query the Euskadi.eus catalog for grants, public contracts, news, and administrative procedures using advanced filters.
Linked Open Data (LOD) — Execute raw SPARQL queries against the GraphDB endpoint to retrieve structured RDF data for deep analysis.
Administrative Transparency — Access real-time information on public announcements, board notices, and governmental publications.
Meteorological Data — Retrieve specialized datasets, including weather information from Euskalmet when authorized.
Metadata Filtering — Narrow down results by language, date ranges, and specific portal contexts to find exactly what you need.

The Open Data Euskadi MCP Server exposes 2 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 2 Open Data Euskadi tools available for LlamaIndex

When LlamaIndex connects to Open Data Euskadi through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, sparql, public-records, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

execute

Execute sparql query on Open Data Euskadi

Execute a SPARQL query against Open Data Euskadi

Search euskadi content on Open Data Euskadi

Search the Euskadi.eus content catalog

Connect Open Data Euskadi to LlamaIndex via MCP

Follow these steps to wire Open Data Euskadi into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 2 tools from Open Data Euskadi

Why Use LlamaIndex with the Open Data Euskadi MCP Server

LlamaIndex provides unique advantages when paired with Open Data Euskadi through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Open Data Euskadi tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Open Data Euskadi tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Open Data Euskadi, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Open Data Euskadi tools were called, what data was returned, and how it influenced the final answer

Open Data Euskadi + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Open Data Euskadi MCP Server delivers measurable value.

Hybrid search: combine Open Data Euskadi real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Open Data Euskadi to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Open Data Euskadi for fresh data

Analytical workflows: chain Open Data Euskadi queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Open Data Euskadi in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Open Data Euskadi immediately.

"Search for active grants (ayuda_subvencion) in the Euskadi content catalog."

"Execute a SPARQL query to list the first 10 datasets in the Linked Open Data graph."

"Find news related to 'sustainability' in the Euskadi portal context."

Troubleshooting Open Data Euskadi MCP Server with LlamaIndex

Common issues when connecting Open Data Euskadi to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Open Data Euskadi + LlamaIndex FAQ

Common questions about integrating Open Data Euskadi MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Open Data Euskadi tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.