Bring Hydrology
to Pydantic AI
Learn how to connect ANA (Movimentação de Dados) to Pydantic AI and start using 18 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Provide your ANA Identificador and Senha (credentials)
- Start querying Brazilian water data from Claude, Cursor, or any MCP client
Who is this for?
- Hydrologists & Engineers — Quickly pull station data for modeling and reporting without manual portal navigation.
- Environmental Researchers — Analyze water quality and rainfall trends across different Brazilian basins.
- Data Scientists — Automate the collection of hydrometeorological time series for climate and impact analysis.
Built-in capabilities (18)
Inclusion of Rainfall (Chuva) Series data
Inclusion of Stage/Level (Cota) Series data
Inclusion of Cross-Section Profile Series (Série Perfil Transversal) data
Inclusion of Water Quality (QA) Series data
Inclusion of Discharge Summary Series (Série Resumo Descarga) data
Inclusion of Flow Series (Série Vazão) data
Search for Rainfall (Chuva) Series data
Search for Stage/Level (Cota) Series data
Search for Cross-Section Profile Series (Série Perfil Transversal) data
Search for Water Quality (QA) Series data
Search for Discharge Summary Series (Série Resumo Descarga) data
No limitation on the number of searches per request. Search for Flow Series (Série Vazão) data
Update/Modification of Rainfall (Chuva) Series data
Update/Modification of Stage/Level (Cota) Series data
Update/Modification of Cross-Section Profile Series (Série Perfil Transversal) data
Update/Modification of Water Quality (QA) Series data
Update/Modification of Discharge Summary Series (Série Resumo Descarga) data
Update/Modification of Flow Series (Série Vazão) data
Why Pydantic AI?
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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ANA (Movimentação de Dados) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your ANA (Movimentação de Dados) connection logic from agent behavior for testable, maintainable code
ANA (Movimentação de Dados) in Pydantic AI
ANA (Movimentação de Dados) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ANA (Movimentação de Dados) to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ANA (Movimentação de Dados) in Pydantic AI
The ANA (Movimentação de Dados) 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. All 18 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
ANA (Movimentação de Dados) for Pydantic AI
Every tool call from Pydantic AI to the ANA (Movimentação de Dados) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I search for flow data for a specific station?
Use the get_serie_vazao tool by providing the codigo_estacao. You can also filter by data_busca to get data for a specific date.
Is it possible to update existing rainfall records?
Yes, if you have the necessary permissions, you can use the update_serie_chuva tool with the updated JSON data body.
What information is included in the cross-section profile search?
The get_serie_perfil_transversal tool retrieves morphological data of the riverbed at the station location, including depth and width measurements recorded in the series.
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.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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