ANA (Movimentação de Dados) MCP Server for Pydantic AIGive Pydantic AI instant access to 18 tools to Create Serie Chuva, Create Serie Cota, Create Serie Perfil Transversal, and more

Name: ANA (Movimentação de Dados)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ANA (Movimentação de Dados) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The ANA (Movimentação de Dados) MCP Server for Pydantic AI is a standout in the Data Management category — giving your AI agent 18 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 ANA (Movimentação de Dados) "
            "(18 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ANA (Movimentação de Dados)?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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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 ANA (Movimentação de Dados) MCP Server

Connect to the ANA (Agência Nacional de Águas e Saneamento Básico) data movement API to retrieve and manage critical hydrometeorological information directly through your AI agent.

Pydantic AI validates every ANA (Movimentação de Dados) tool response against typed schemas, catching data inconsistencies at build time. Connect 18 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

Flow & Rainfall Series — Query historical and real-time data for flow (Vazão) and rainfall (Chuva) using station codes or specific series IDs.
Water Quality (QA) — Access detailed water quality parameters and monitoring series to analyze environmental health.
Cross-Section Profiles — Retrieve transverse profile data (Perfil Transversal) for river morphology and engineering studies.
Discharge Summaries — Inspect discharge summaries (Resumo Descarga) and level data (Cota) for comprehensive basin management.
Data Management — Beyond querying, authorized users can create and update data series records directly in the ANA system.

The ANA (Movimentação de Dados) MCP Server exposes 18 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 18 ANA (Movimentação de Dados) tools available for Pydantic AI

When Pydantic AI connects to ANA (Movimentação de Dados) through Vinkius, your AI agent gets direct access to every tool listed below — spanning hydrology, brazil-water, environmental-monitoring, 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.

create

Create serie chuva on ANA (Movimentação de Dados)

Inclusion of Rainfall (Chuva) Series data

create

Create serie cota on ANA (Movimentação de Dados)

Inclusion of Stage/Level (Cota) Series data

create

Create serie perfil transversal on ANA (Movimentação de Dados)

Inclusion of Cross-Section Profile Series (Série Perfil Transversal) data

create

Create serie qa on ANA (Movimentação de Dados)

Inclusion of Water Quality (QA) Series data

create

Create serie resumo descarga on ANA (Movimentação de Dados)

Inclusion of Discharge Summary Series (Série Resumo Descarga) data

create

Create serie vazao on ANA (Movimentação de Dados)

Inclusion of Flow Series (Série Vazão) data

get

Get serie chuva on ANA (Movimentação de Dados)

Search for Rainfall (Chuva) Series data

get

Get serie cota on ANA (Movimentação de Dados)

Search for Stage/Level (Cota) Series data

get

Get serie perfil transversal on ANA (Movimentação de Dados)

Search for Cross-Section Profile Series (Série Perfil Transversal) data

get

Get serie qa on ANA (Movimentação de Dados)

Search for Water Quality (QA) Series data

get

Get serie resumo descarga on ANA (Movimentação de Dados)

Search for Discharge Summary Series (Série Resumo Descarga) data

get

Get serie vazao on ANA (Movimentação de Dados)

No limitation on the number of searches per request. Search for Flow Series (Série Vazão) data

update

Update serie chuva on ANA (Movimentação de Dados)

Update/Modification of Rainfall (Chuva) Series data

update

Update serie cota on ANA (Movimentação de Dados)

Update/Modification of Stage/Level (Cota) Series data

update

Update serie perfil transversal on ANA (Movimentação de Dados)

Update/Modification of Cross-Section Profile Series (Série Perfil Transversal) data

update

Update serie qa on ANA (Movimentação de Dados)

Update/Modification of Water Quality (QA) Series data

update

Update serie resumo descarga on ANA (Movimentação de Dados)

Update/Modification of Discharge Summary Series (Série Resumo Descarga) data

update

Update serie vazao on ANA (Movimentação de Dados)

Update/Modification of Flow Series (Série Vazão) data

Connect ANA (Movimentação de Dados) to Pydantic AI via MCP

Follow these steps to wire ANA (Movimentação de Dados) 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 18 tools from ANA (Movimentação de Dados) with type-safe schemas

Why Use Pydantic AI with the ANA (Movimentação de Dados) MCP Server

Pydantic AI provides unique advantages when paired with ANA (Movimentação de Dados) 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 ANA (Movimentação de Dados) integration code

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

Dependency injection system cleanly separates your ANA (Movimentação de Dados) connection logic from agent behavior for testable, maintainable code

ANA (Movimentação de Dados) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ANA (Movimentação de Dados) MCP Server delivers measurable value.

Type-safe data pipelines: query ANA (Movimentação de Dados) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple ANA (Movimentação de Dados) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query ANA (Movimentação de Dados) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock ANA (Movimentação de Dados) responses and write comprehensive agent tests

Example Prompts for ANA (Movimentação de Dados) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with ANA (Movimentação de Dados) immediately.

"Search for flow series data (vazão) for station code 66070000."

"Get the water quality (QA) series for ID 12345."

"List the rainfall series (chuva) for station 45001000 on 2023-05-20."

Troubleshooting ANA (Movimentação de Dados) MCP Server with Pydantic AI

Common issues when connecting ANA (Movimentação de Dados) to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ANA (Movimentação de Dados) + Pydantic AI FAQ

Common questions about integrating ANA (Movimentação de Dados) 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 ANA (Movimentação de Dados) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.