Open Data Euskadi MCP Server for LangChainGive LangChain instant access to 2 tools to Execute Sparql Query and Search Euskadi Content
LangChain is the leading Python framework for composable LLM applications. Connect Open Data Euskadi through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Open Data Euskadi MCP Server for LangChain is a standout in the Data Analytics category — giving your AI agent 2 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"open-data-euskadi": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Open Data Euskadi, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
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.
LangChain's ecosystem of 500+ components combines seamlessly with Open Data Euskadi through native MCP adapters. Connect 2 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 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 LangChain via MCP
Follow these steps to wire Open Data Euskadi into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Open Data Euskadi MCP Server
LangChain provides unique advantages when paired with Open Data Euskadi through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Open Data Euskadi MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Open Data Euskadi queries for multi-turn workflows
Open Data Euskadi + LangChain Use Cases
Practical scenarios where LangChain combined with the Open Data Euskadi MCP Server delivers measurable value.
RAG with live data: combine Open Data Euskadi tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Open Data Euskadi, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Open Data Euskadi tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Open Data Euskadi tool call, measure latency, and optimize your agent's performance
Example Prompts for Open Data Euskadi in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Open Data Euskadi to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOpen Data Euskadi + LangChain FAQ
Common questions about integrating Open Data Euskadi MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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