How to Use the IBESTAT (Estadística Illes Balears) MCP in LlamaIndex

Q: Can LlamaIndex agents filter tools from the IBESTAT (Estadística Illes Balears) MCP Server?

Yes, you can use the allowedtools filter when setting up your McpToolSpec. This lets you restrict your RAG agent to just getmetadata or getdata depending on the current task.

Index live Balearic statistical tables directly into your LlamaIndex knowledge bases.

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Connect IBESTAT (Estadística Illes Balears) MCP to LlamaIndex

Create your Vinkius account to connect IBESTAT (Estadística Illes Balears) 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 IBESTAT (Estadística Illes Balears) with LlamaIndex

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Build searchable statistical indexes via MCP Server

The `list_resources` tool allows your agent to browse specific tables associated with any Balearic statistical operation. It retrieves the exact resource locators so your indexer knows where to pull the data. LlamaIndex converts this output into searchable document nodes. Instead of querying the live API every time, your application searches past runs locally, pulling fresh data only when the index detects an update.

Eliminate hallucinations with metadata verification

The `get_metadata` tool fetches the official definitions, methodologies, and measurement units directly from the regional database. Your agent reads this structure to understand exactly what each data point represents. Feeding this metadata into your LlamaIndex vector store ensures semantic searches return accurate context. Your queries stay grounded in verified regional standards rather than letting the LLM guess the meaning of column headers.

Inject live regional data into RAG pipelines

The `get_data` tool queries the actual statistical tables for your active RAG pipelines. It delivers raw numeric values directly to your agent for immediate synthesis. You can combine this tool with LlamaIndex query engines to merge offline documents with live statistical feeds. This gives your application a unified context layer containing both static policy papers and fresh economic figures.

Setup guide

Set up IBESTAT (Estadística Illes Balears) 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 IBESTAT (Estadística Illes Balears) 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 IBESTAT (Estadística Illes Balears) tools.",
)
response = await agent.run("List recent IBESTAT (Estadística Illes Balears) data")

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Common questions about IBESTAT (Estadística Illes Balears) MCP in LlamaIndex

You initialize the BasicMCPClient with the server URL and convert it to a tool specification using McpToolSpec. From there, use the tools to fetch data via `get_data` and pass the results to your index writer.

Yes, you can use the allowed_tools filter when setting up your McpToolSpec. This lets you restrict your RAG agent to just `get_metadata` or `get_data` depending on the current task.

The server itself provides raw data, but LlamaIndex indexes the outputs of `get_data` and `list_operations` into your vector database. Once indexed, you can perform standard semantic search over the regional statistics.

You can implement local caching or rate-limiting middleware in your index pipeline. This prevents your agent from spamming the regional statistical endpoints during large-scale data ingestion.

The server only queries public statistical datasets and metadata tables. Because Vinkius executes the MCP Server code in isolated, ephemeral sandboxes, your configuration keys and query parameters are never written to disk or shared with third parties.

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