Compatible with every major AI agent and IDE
What is the Gobierno Abierto Valencia MCP Server?
Connect to the Valencia Open Data portal (Gobierno Abierto) to explore public datasets, groups, and specific resource data through natural conversation.
What you can do
- Datasets & Packages — List all available public datasets and fetch detailed metadata for specific ones using their name or ID.
- Resource Inspection — Access specific file metadata, formats, and descriptions within a dataset to understand the available data structures.
- Data Search — Query actual records inside a resource's datastore with powerful filtering, search queries, and pagination.
- Categories & Groups — Browse datasets by organizational groups or thematic categories to find relevant information faster.
How it works
- Subscribe to this server
- Enter your Valencia Open Data API Key (if required for specific datasets)
- Start querying public data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — quickly find and inspect public datasets without manual browsing
- Developers — integrate real-time city data into applications by testing queries via AI
- Citizens & Researchers — explore municipal transparency data and public records through simple questions
Built-in capabilities (5)
List dataset groups (categories)
List all dataset names
Search for data within a specific resource
Get metadata for a specific dataset
Get metadata for a specific resource
Why CrewAI?
When paired with CrewAI, Gobierno Abierto Valencia becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Gobierno Abierto Valencia 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
Gobierno Abierto Valencia in CrewAI
Gobierno Abierto Valencia and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Gobierno Abierto Valencia 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 Gobierno Abierto Valencia in CrewAI
The Gobierno Abierto Valencia 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 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
Gobierno Abierto Valencia for CrewAI
Every tool call from CrewAI to the Gobierno Abierto Valencia MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I search for specific records within a data file?
Use the search_datastore tool with the specific Resource ID. You can provide a search string q to filter the records and use limit or offset for pagination.
How can I see the metadata for a specific dataset?
Simply use the show_package tool and provide the name or ID of the dataset. The agent will return full metadata including descriptions, maintainers, and associated resources.
Can I list all the data categories available in the portal?
Yes! The list_groups tool returns all dataset groups or categories available in the Valencia Open Data portal, helping you browse by topic.
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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