Compatible with every major AI agent and IDE
What is the OpenDataSUS MCP Server?
Connect to the OpenDataSUS portal to explore and analyze Brazilian public health information through natural language. This server interfaces with the CKAN-based API of the Ministry of Health.
What you can do
- Dataset Discovery — List all available datasets, search for specific health topics (like COVID-19 or vaccination), and browse by tags or categories.
- Metadata Inspection — Retrieve detailed metadata for packages and individual resources to understand data provenance and structure.
- Deep Data Querying — Use the DataStore search to filter and retrieve actual rows from CSV and Excel resources directly into your conversation.
- Organizational Browsing — List data providers and organizations to find specific departmental records.
How it works
- Subscribe to this server
- (Optional) Enter your OpenDataSUS API Key for higher rate limits
- Start querying Brazilian health data from Claude, Cursor, or any MCP client
Who is this for?
- Data Scientists & Researchers — quickly find and sample epidemiological data without manual downloads
- Public Health Analysts — monitor health indicators and dataset updates through simple queries
- Developers — integrate official Brazilian health data into applications and dashboards with ease
Built-in capabilities (8)
Search and filter data within a resource
List all groups (categories)
List all organizations (data providers)
List all dataset names in the OpenDataSUS portal
Search for datasets matching specific criteria
Get full metadata of a specific dataset
Get metadata for a specific resource
List all tags used across datasets
Why Vercel AI SDK?
The Vercel AI SDK gives every OpenDataSUS tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same OpenDataSUS integration everywhere
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Built-in streaming UI primitives let you display OpenDataSUS tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
OpenDataSUS in Vercel AI SDK
OpenDataSUS and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect OpenDataSUS to Vercel AI SDK 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 OpenDataSUS in Vercel AI SDK
The OpenDataSUS 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 8 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK 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
OpenDataSUS for Vercel AI SDK
Every tool call from Vercel AI SDK to the OpenDataSUS 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 specific rows inside a large CSV dataset?
You can use the datastore_search tool. Provide the resource_id and use the q parameter for full-text search or the filters parameter to target specific columns.
Can I find which organizations provide the most datasets?
Yes! Use the organization_list tool to see all data providers registered in the OpenDataSUS portal.
How do I get the download link for a specific data file?
Use the resource_show tool with the Resource UUID. It will return the metadata including the URL where the file is hosted.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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