Mato Grosso do Sul Open Data MCP Server for Pydantic AIGive Pydantic AI instant access to 7 tools to Datastore Search, Datastore Search Sql, Get Package, and more

Name: Mato Grosso do Sul Open Data
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Mato Grosso do Sul Open Data through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Mato Grosso do Sul Open Data MCP Server for Pydantic AI is a standout in the Data Analytics category — giving your AI agent 7 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Mato Grosso do Sul Open Data "
            "(7 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Mato Grosso do Sul Open Data?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

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EU AI ActCompliant

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V8 IsolateSandboxed

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<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Mato Grosso do Sul Open Data MCP Server

Connect to the Mato Grosso do Sul (MS) Open Data Portal to explore and analyze public information from the Brazilian state. This server allows AI agents to programmatically access datasets, organizations, and specific resource records.

Pydantic AI validates every Mato Grosso do Sul Open Data tool response against typed schemas, catching data inconsistencies at build time. Connect 7 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Datasets & Packages — List all available public data packages and retrieve detailed metadata using list_packages and get_package.
Resource Inspection — Drill down into specific files or links within datasets to understand their structure with get_resource.
DataStore Search — Filter and search through actual records in CSVs or spreadsheets directly using datastore_search.
SQL Queries — Execute complex SQL statements on DataStore resources for advanced data analysis with datastore_search_sql.
Organizational Context — List the government organizations and groups responsible for the data via list_organizations and list_groups.

The Mato Grosso do Sul Open Data MCP Server exposes 7 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Mato Grosso do Sul Open Data tools available for Pydantic AI

When Pydantic AI connects to Mato Grosso do Sul Open Data through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, brazil, 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.

datastore

Datastore search on Mato Grosso do Sul Open Data

Search data in a DataStore resource

datastore

Datastore search sql on Mato Grosso do Sul Open Data

Execute a SQL query on DataStore resources

get

Get package on Mato Grosso do Sul Open Data

Get details of a specific dataset package

get

Get resource on Mato Grosso do Sul Open Data

Get details of a specific resource

list

List groups on Mato Grosso do Sul Open Data

List all groups

list

List organizations on Mato Grosso do Sul Open Data

List all organizations

list

List packages on Mato Grosso do Sul Open Data

List all dataset packages

Connect Mato Grosso do Sul Open Data to Pydantic AI via MCP

Follow these steps to wire Mato Grosso do Sul Open Data into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 7 tools from Mato Grosso do Sul Open Data with type-safe schemas

Why Use Pydantic AI with the Mato Grosso do Sul Open Data MCP Server

Pydantic AI provides unique advantages when paired with Mato Grosso do Sul Open Data through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Mato Grosso do Sul Open Data integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Mato Grosso do Sul Open Data connection logic from agent behavior for testable, maintainable code

Mato Grosso do Sul Open Data + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Mato Grosso do Sul Open Data MCP Server delivers measurable value.

Type-safe data pipelines: query Mato Grosso do Sul Open Data with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Mato Grosso do Sul Open Data tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Mato Grosso do Sul Open Data and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Mato Grosso do Sul Open Data responses and write comprehensive agent tests

Example Prompts for Mato Grosso do Sul Open Data in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Mato Grosso do Sul Open Data immediately.

"List all the public data packages available in Mato Grosso do Sul."

"Search for records containing 'Campo Grande' in the resource ID 550e8400-e29b-41d4-a716-446655440000."

"Run a SQL query to select all columns from resource 'receita-2023' where the value is greater than 1000000."

Troubleshooting Mato Grosso do Sul Open Data MCP Server with Pydantic AI

Common issues when connecting Mato Grosso do Sul Open Data to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Mato Grosso do Sul Open Data + Pydantic AI FAQ

Common questions about integrating Mato Grosso do Sul Open Data MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Mato Grosso do Sul Open Data MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.