Bring Hydrology
to Mastra AI
Learn how to connect ANA (Movimentação de Dados) to Mastra 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 Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and ANA (Movimentação de Dados) tool infrastructure. Connect 18 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ANA (Movimentação de Dados) without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every ANA (Movimentação de Dados) tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
ANA (Movimentação de Dados) in Mastra AI
ANA (Movimentação de Dados) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ANA (Movimentação de Dados) to Mastra 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 Mastra 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 Mastra 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 Mastra AI
Every tool call from Mastra 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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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