Bring Education Data
to Mastra AI
Learn how to connect Inep Dados Abertos to Mastra AI and start using 12 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 Inep Dados Abertos MCP Server?
Connect to the Inep Open Data Portal (Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira) and explore the most comprehensive educational datasets in Brazil through natural language.
What you can do
- Dataset Discovery — List and search through hundreds of educational packages including ENEM, IDEB, and Censo Escolar.
- Deep Data Querying — Use SQL-like queries to filter and extract specific rows from massive datasets without downloading huge files.
- Resource Inspection — Access metadata, download links, and structural information for CSVs, PDFs, and microdata.
- Organizational Mapping — Explore data grouped by specific departments and thematic groups within the Brazilian Ministry of Education.
- Granular Search — Find specific resources or tags to pinpoint the exact statistical series needed for research or reporting.
How it works
- Subscribe to this server
- (Optional) Provide your Inep API Key if you have specific access requirements, or use public access
- Start querying Brazilian educational statistics from Claude, Cursor, or any MCP client
Who is this for?
- Researchers & Academics — quickly find specific microdata years and variables for educational studies.
- Data Journalists — extract live statistics on exam performance or school infrastructure for reporting.
- Public Policy Analysts — monitor educational indicators and IDEB results across different regions of Brazil.
Built-in capabilities (12)
Get group details
Get organization details
Get dataset details
Get resource details
List groups
g., different departments within Inep). List organizations
List all dataset (package) names
List tags
Search data within a resource (DataStore)
Query data using SQL (DataStore)
Search datasets
Search resources
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Inep Dados Abertos tool infrastructure. Connect 12 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 Inep Dados Abertos 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 Inep Dados Abertos 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
Inep Dados Abertos in Mastra AI
Inep Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Inep Dados Abertos 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 Inep Dados Abertos in Mastra AI
The Inep Dados Abertos 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 12 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
Inep Dados Abertos for Mastra AI
Every tool call from Mastra AI to the Inep Dados Abertos MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I query specific data inside a resource without downloading the whole file?
Yes! You can use the search_datastore_sql tool to run SQL queries directly against the Inep database for resources that support the DataStore API.
How do I find datasets related to a specific topic like 'ENEM'?
Use the search_packages tool with the query 'ENEM'. It will return all matching datasets, which you can then inspect using get_package.
Is it possible to list all organizations that publish data on the portal?
Yes, the list_organizations tool retrieves all departments and entities within Inep that maintain open data resources.
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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