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Vinkius
CrewAIFramework
Gipuzkoa Irekia MCP Server

Bring Open Data
to CrewAI

Learn how to connect Gipuzkoa Irekia to CrewAI and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
List GroupsList OrganizationsList PackagesSearch PackagesSearch ResourcesShow GroupShow OrganizationShow PackageShow Resource

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Gipuzkoa Irekia

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

  1. Subscribe to this server
  2. Enter your Gipuzkoa Irekia API Key (optional for public data, recommended for higher limits)
  3. 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_groups

List all group names

list_organizations

List all organization names

list_packages

List all dataset (package) names

search_packages

Search for datasets

search_resources

Search for resources

show_group

Get details for a specific group

show_organization

Get details for a specific organization

show_package

Get metadata for a specific dataset

show_resource

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

  • CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the mcps parameter 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

  • Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

See it in action

Gipuzkoa Irekia in CrewAI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

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.

Gipuzkoa Irekia
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

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.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

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.

05

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.

06

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.

07

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.

08

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.

09

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

10

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

11

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

12

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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