Bring Open Data
to Vercel AI SDK
Learn how to connect Mato Grosso do Sul Open Data to Vercel AI SDK and start using 7 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 Mato Grosso do Sul Open Data MCP Server?
Connect to the Mato Grosso do Sul (MS) Open Data Portal to explore and analyze public information from the Brazilian state. This server allows AI agents to programmatically access datasets, organizations, and specific resource records.
What you can do
- Datasets & Packages — List all available public data packages and retrieve detailed metadata using
list_packagesandget_package. - Resource Inspection — Drill down into specific files or links within datasets to understand their structure with
get_resource. - DataStore Search — Filter and search through actual records in CSVs or spreadsheets directly using
datastore_search. - SQL Queries — Execute complex SQL statements on DataStore resources for advanced data analysis with
datastore_search_sql. - Organizational Context — List the government organizations and groups responsible for the data via
list_organizationsandlist_groups.
How it works
- Subscribe to this server
- Enter your Mato Grosso do Sul Data Portal API Key
- Start querying public state data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — instantly retrieve and filter state records without manual downloads
- Researchers — automate the collection of public metadata and resource links
- Developers — integrate real-time public data into applications using SQL queries
Built-in capabilities (7)
Search data in a DataStore resource
Execute a SQL query on DataStore resources
Get details of a specific dataset package
Get details of a specific resource
List all groups
List all organizations
List all dataset packages
Why Vercel AI SDK?
The Vercel AI SDK gives every Mato Grosso do Sul Open Data tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
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 Mato Grosso do Sul Open Data integration everywhere
- —
Built-in streaming UI primitives let you display Mato Grosso do Sul Open Data tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Mato Grosso do Sul Open Data in Vercel AI SDK
Mato Grosso do Sul Open Data and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Mato Grosso do Sul Open Data 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 Mato Grosso do Sul Open Data in Vercel AI SDK
The Mato Grosso do Sul Open Data 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 7 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
Mato Grosso do Sul Open Data for Vercel AI SDK
Every tool call from Vercel AI SDK to the Mato Grosso do Sul Open Data MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find specific datasets about health or education?
Use the list_packages tool to see all available dataset names, then use get_package with a specific ID to see the resources and descriptions related to that topic.
Can I perform complex filtering on the data records?
Yes! Use the datastore_search_sql tool to execute standard SQL queries (e.g., SELECT, WHERE, GROUP BY) directly against the DataStore resources for precise analysis.
How do I see which government departments provide the data?
Use the list_organizations action. It will return a list of all state entities and departments that have published data on the portal.
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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