Compatible with every major AI agent and IDE
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 CrewAI?
When paired with CrewAI, Gipuzkoa Irekia becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Gipuzkoa Irekia tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Gipuzkoa Irekia in CrewAI
Gipuzkoa Irekia and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Gipuzkoa Irekia to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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 CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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