Dades Obertes Catalunya MCP Server for LangChainGive LangChain instant access to 2 tools to Query Dataset and Search Catalog
LangChain is the leading Python framework for composable LLM applications. Connect Dades Obertes Catalunya 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 Dades Obertes Catalunya 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({
"dades-obertes-catalunya": {
"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 Dades Obertes Catalunya, 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 Dades Obertes Catalunya MCP Server
Unlock the power of Dades Obertes Catalunya, the official open data platform of the Government of Catalonia. This MCP server allows your AI agent to browse thousands of public datasets and perform complex queries through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Dades Obertes Catalunya 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
- Catalog Discovery — Search for datasets by keywords, categories, or tags to find relevant public information using the
search_catalogtool. - Advanced Querying — Use SoQL (Socrata Query Language) via
query_datasetto filter, select specific columns, and sort data from any dataset using its 4x4 identifier. - Data Analysis — Group results and perform full-text searches across entire datasets to extract insights on health, transport, economy, and more.
- Pagination & Limits — Efficiently handle large datasets with built-in support for limits and offsets to browse records systematically.
The Dades Obertes Catalunya 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 Dades Obertes Catalunya tools available for LangChain
When LangChain connects to Dades Obertes Catalunya through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, public-sector, dataset-discovery, 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.
Query dataset on Dades Obertes Catalunya
g., abcd-1234). Supports SoQL parameters like $select, $where, $limit. Query a specific dataset using SoQL parameters
Search catalog on Dades Obertes Catalunya
Returns dataset identifiers needed for the query_dataset tool. Search the Dades Obertes Catalunya catalog for datasets
Connect Dades Obertes Catalunya to LangChain via MCP
Follow these steps to wire Dades Obertes Catalunya 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 Dades Obertes Catalunya MCP Server
LangChain provides unique advantages when paired with Dades Obertes Catalunya through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Dades Obertes Catalunya 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 Dades Obertes Catalunya queries for multi-turn workflows
Dades Obertes Catalunya + LangChain Use Cases
Practical scenarios where LangChain combined with the Dades Obertes Catalunya MCP Server delivers measurable value.
RAG with live data: combine Dades Obertes Catalunya tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Dades Obertes Catalunya, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Dades Obertes Catalunya tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Dades Obertes Catalunya tool call, measure latency, and optimize your agent's performance
Example Prompts for Dades Obertes Catalunya in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Dades Obertes Catalunya immediately.
"Search the catalog for datasets related to 'hospitals' in Catalonia."
"Query dataset 'abcd-1234' and show me the top 5 results where population is over 10000."
"List the columns available in dataset 'xyz1-2345' using a full-text search for 'electric'."
Troubleshooting Dades Obertes Catalunya MCP Server with LangChain
Common issues when connecting Dades Obertes Catalunya to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDades Obertes Catalunya + LangChain FAQ
Common questions about integrating Dades Obertes Catalunya 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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