Bring Open Data
to Vercel AI SDK
Learn how to connect Gipuzkoa Irekia to Vercel AI SDK and start using 9 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 Gipuzkoa Irekia MCP Server?
Connect to the Gipuzkoa Irekia open data portal and empower your AI agent to explore public sector information from the Gipuzkoa region through natural conversation.
What you can do
- Dataset Discovery — Search for specific datasets (packages) using keywords or filter by organization and metadata
- Resource Inspection — Access detailed metadata for specific data files (resources), including formats and download links
- Organizational Browsing — List and inspect the various public departments and municipalities that publish data
- Thematic Exploration — Navigate data through thematic groups such as transport, environment, or economy
- Advanced Querying — Perform Solr-like searches to find precise information within the vast public catalog
How it works
- Subscribe to this server
- Enter your Gipuzkoa Irekia API Key (optional for public data, recommended for higher limits)
- Start querying public datasets from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — quickly find and inspect public datasets for research and reporting without manual portal navigation
- Developers — retrieve resource IDs and metadata directly in the IDE to integrate public APIs into applications
- Citizens & Researchers — explore government transparency data and public records through simple natural language questions
Built-in capabilities (9)
List all group names
List all organization names
List all dataset (package) names
Search for datasets
Search for resources
Get details for a specific group
Get details for a specific organization
Get metadata for a specific dataset
Get metadata for a specific resource
Why Vercel AI SDK?
The Vercel AI SDK gives every Gipuzkoa Irekia tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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 Gipuzkoa Irekia integration everywhere
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Built-in streaming UI primitives let you display Gipuzkoa Irekia 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
Gipuzkoa Irekia in Vercel AI SDK
Gipuzkoa Irekia and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Gipuzkoa Irekia 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 Gipuzkoa Irekia in Vercel AI SDK
The Gipuzkoa Irekia 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 9 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
Gipuzkoa Irekia for Vercel AI SDK
Every tool call from Vercel AI SDK to the Gipuzkoa Irekia 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 'transport'?
You can use the search_packages tool. Simply provide the search term in the q parameter (e.g., 'transport'), and the agent will return a list of matching datasets from the Gipuzkoa Irekia catalog.
Can I see which organizations are publishing data on this portal?
Yes! Use the list_organizations tool to get a complete list of all departments, municipalities, and entities that contribute to the Gipuzkoa Irekia open data catalog.
How do I get the download links or format details for a specific data file?
Use the show_resource tool with the specific Resource ID. It will provide detailed metadata, including the file format (CSV, JSON, etc.) and the direct URL to access the data.
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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