Bring Madrid
to Mastra AI
Learn how to connect Comunidad de Madrid (Portal Regional) to Mastra AI and start using 5 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
Compatible with every major AI agent and IDE
What is the Comunidad de Madrid (Portal Regional) MCP Server?
Connect your AI agent to the Comunidad de Madrid Open Data Portal to access a wealth of public information directly through natural language. This MCP server provides a bridge to the regional CKAN-based repository, covering everything from transport and health to environment and economy.
What you can do
- Dataset Discovery — Search for specific datasets using keywords like 'transporte', 'salud', or 'medio ambiente' to find relevant public records.
- Metadata Inspection — Retrieve full metadata for datasets, including tags, organizations, and update frequencies.
- Resource Management — List and inspect individual files (resources) within a dataset, such as CSVs, JSONs, or PDFs.
- Direct Data Querying — Use the DataStore integration to query the actual content of datasets directly, allowing for data analysis without manual downloads.
- Portal Exploration — List all available dataset identifiers to understand the scope of available regional data.
How it works
- Subscribe to this server
- (Optional) Enter your Comunidad de Madrid CKAN API Key for higher rate limits
- Start querying regional data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — quickly pull regional statistics and records into your workflow for analysis.
- Developers — integrate real-time public data from Madrid into applications without navigating complex API docs.
- Researchers & Citizens — find public information about air quality, transport schedules, or economic indicators through simple conversation.
Built-in capabilities (5)
Get full metadata for a specific dataset
Get metadata for a specific resource
List all dataset identifiers in the portal
g., transporte, salud). Search for datasets matching specific criteria
Query data directly from a resource in the DataStore
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Comunidad de Madrid (Portal Regional) tool infrastructure. Connect 5 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Comunidad de Madrid (Portal Regional) without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Comunidad de Madrid (Portal Regional) tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Comunidad de Madrid (Portal Regional) in Mastra AI
Comunidad de Madrid (Portal Regional) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Comunidad de Madrid (Portal Regional) to Mastra AI 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 Comunidad de Madrid (Portal Regional) in Mastra AI
The Comunidad de Madrid (Portal Regional) 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 Mastra AI 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
Comunidad de Madrid (Portal Regional) for Mastra AI
Every tool call from Mastra AI to the Comunidad de Madrid (Portal Regional) 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 find datasets about a specific topic like 'transport'?
Use the search_datasets tool with the query 'transporte'. The agent will return a list of matching datasets with their unique IDs and descriptions from the portal.
Can I see the actual content of a data file without downloading it?
Yes. If the resource is stored in the CKAN DataStore, you can use the search_datastore tool with the Resource ID to query the rows and columns directly.
Is an API key mandatory to use this server?
No, it is optional. However, providing a CKAN_API_KEY allows for higher rate limits and access to restricted datasets if your account has permissions.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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