How to Use the IBESTAT (Estadística Illes Balears) MCP in Pydantic AI
Type-safe Balearic statistical queries for Pydantic AI agents with strict runtime validation.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IBESTAT (Estadística Illes Balears) MCP to Pydantic AI
Create your Vinkius account to connect IBESTAT (Estadística Illes Balears) to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Enforce strict schemas on Balearic data tables
Pydantic AI thrives on strict typing. When your agent calls `get_data`, the response is parsed directly into Pydantic models, preventing corrupt or incomplete tables from breaking your production code. If the Balearic API returns a null value where an integer is expected, the framework raises a validation error immediately. This keeps your downstream pipelines clean.
Dynamically discover resources with Pydantic AI MCP Server tools
Use `list_operations` and `list_resources` to build self-correcting data discovery loops. Your agent can search for specific tourism tables, validate the structure, and query them without manual intervention. The framework handles the tool signatures under the hood. You pass the `MCPToolset` to your agent, and the system handles the rest.
Parse metadata directly into typed Python models
By calling `get_metadata` via this MCP Server, your agent fetches the precise schema of any Balearic statistical operation. Pydantic AI validates this payload, ensuring your agent always knows the exact units and update frequencies. This eliminates silent failures where an agent assumes a metric is a percentage when it is actually a raw count.
Set up IBESTAT (Estadística Illes Balears) MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"ibestat-estadistica-illes-balears-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to IBESTAT (Estadística Illes Balears) tools.",
)
result = await agent.run("List recent IBESTAT (Estadística Illes Balears) transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IBESTAT. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about IBESTAT (Estadística Illes Balears) MCP in Pydantic AI
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