Dades Obertes Catalunya MCP Server for LlamaIndexGive LlamaIndex instant access to 2 tools to Query Dataset and Search Catalog
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Dades Obertes Catalunya as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Dades Obertes Catalunya 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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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 Dades Obertes Catalunya. "
"You have 2 tools available."
),
)
response = await agent.run(
"What tools are available in Dades Obertes Catalunya?"
)
print(response)
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.
LlamaIndex agents combine Dades Obertes Catalunya 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
- 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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire Dades Obertes Catalunya into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Dades Obertes Catalunya MCP Server
LlamaIndex provides unique advantages when paired with Dades Obertes Catalunya through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Dades Obertes Catalunya tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Dades Obertes Catalunya tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Dades Obertes Catalunya, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Dades Obertes Catalunya tools were called, what data was returned, and how it influenced the final answer
Dades Obertes Catalunya + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Dades Obertes Catalunya MCP Server delivers measurable value.
Hybrid search: combine Dades Obertes Catalunya real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Dades Obertes Catalunya 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 Dades Obertes Catalunya for fresh data
Analytical workflows: chain Dades Obertes Catalunya queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Dades Obertes Catalunya in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Dades Obertes Catalunya to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDades Obertes Catalunya + LlamaIndex FAQ
Common questions about integrating Dades Obertes Catalunya MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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