Bring Brazil Trade
to Vercel AI SDK
Learn how to connect MDIC (Comércio Exterior) to Vercel AI SDK and start using 5 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 MDIC (Comércio Exterior) MCP Server?
Connect to the MDIC (Ministry of Development, Industry, Trade and Services) open data portal to analyze Brazilian foreign trade metrics directly through your AI agent.
What you can do
- Dataset Discovery — List and search through all available trade packages (datasets) like 'comex-stat' or 'exportacao-municipios'
- Metadata Inspection — Get detailed descriptions, tags, and resource lists for specific trade datasets
- Direct Data Querying — Use the Datastore search to filter and retrieve specific rows from CSV resources using SQL-like parameters
- Resource Management — Access individual file metadata and download links for trade statistics
How it works
- Subscribe to this server
- (Optional) Provide an API key if required by your specific endpoint for higher rate limits
- Start querying Brazilian trade data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — quickly fetch trade volumes and export trends without manual downloads
- Economists — analyze official government trade data using natural language queries
- Business Intelligence Leads — integrate official Brazilian trade statistics into automated reports and dashboards
Built-in capabilities (5)
Get detailed metadata for a specific dataset (package)
Get metadata for a specific resource (data file)
List all datasets (packages) available in the MDIC portal
Query data directly from a resource stored in the Datastore
g., "comex", "exportação"). Search for datasets matching a specific query string
Why Vercel AI SDK?
The Vercel AI SDK gives every MDIC (Comércio Exterior) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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 MDIC (Comércio Exterior) integration everywhere
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Built-in streaming UI primitives let you display MDIC (Comércio Exterior) 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
MDIC (Comércio Exterior) in Vercel AI SDK
MDIC (Comércio Exterior) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect MDIC (Comércio Exterior) 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 MDIC (Comércio Exterior) in Vercel AI SDK
The MDIC (Comércio Exterior) 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 5 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
MDIC (Comércio Exterior) for Vercel AI SDK
Every tool call from Vercel AI SDK to the MDIC (Comércio Exterior) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search for specific trade terms like 'soybean' or 'iron ore'?
Yes! Use the search_packages tool with your query string. It will return all datasets matching those terms within the MDIC portal.
How do I access the actual data rows inside a CSV resource?
Use the search_datastore tool by providing the resource_id. You can also apply filters and limits to retrieve exactly the data points you need.
Is it possible to see the file format and download URL for a dataset?
Yes. The get_package tool returns a list of resources, and get_resource provides specific metadata including the format (CSV, XLSX, etc.) and the direct download URL.
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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