Bring Campinas
to Vercel AI SDK
Learn how to connect Campinas Open Data to Vercel AI SDK and start using 8 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 Campinas Open Data MCP Server?
Connect to the Campinas Open Data Portal (CKAN) and explore a wealth of public information from one of Brazil's major cities through natural conversation.
What you can do
- Dataset Discovery — Search for specific packages related to health, education, finance, or transport using keywords.
- Metadata Inspection — Retrieve full metadata for datasets and individual resources (files) to understand data structures.
- Organizational Mapping — List all city departments and organizations that provide public data.
- Thematic Exploration — Browse data by groups (e.g., 'Saúde', 'Educação') or tags to find relevant information quickly.
- Resource Access — Get direct links and metadata for CSVs, PDFs, and APIs hosted on the portal.
How it works
- Subscribe to this server
- Enter your Campinas Portal API Key (optional for public data, required for restricted access)
- Start querying city data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Researchers & Academics — quickly find datasets for urban studies or public policy analysis.
- Developers — inspect API resources and data schemas without leaving the code editor.
- Journalists & Citizens — explore public spending and city metrics through simple questions.
Built-in capabilities (8)
Get full metadata for a specific dataset
Get metadata for a specific resource
g., Education, Health). List thematic groups
List organizations providing data
List all dataset names
List all tags used across the portal
Search for datasets matching specific criteria
g., name:financeiro). Search for resources based on fields
Why Vercel AI SDK?
The Vercel AI SDK gives every Campinas Open Data 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
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Campinas Open Data integration everywhere
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Built-in streaming UI primitives let you display Campinas Open Data 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
Campinas Open Data in Vercel AI SDK
Campinas Open Data and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Campinas 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 Campinas Open Data in Vercel AI SDK
The Campinas 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 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
Campinas Open Data for Vercel AI SDK
Every tool call from Vercel AI SDK to the Campinas 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 can I search for datasets related to a specific topic like 'Health'?
You can use the search_packages tool with a query string. For example, searching for 'saude' will return all datasets categorized under health in the Campinas portal.
Can I see which city departments are publishing data?
Yes! Use the list_organizations tool to get a complete list of all city departments and entities that contribute to the Open Data Portal.
How do I get the download link for a specific data file?
Use the get_resource tool with the specific Resource ID. It will return the metadata, including the URL to download the file (CSV, PDF, etc.).
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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