Bring Open Data
to LlamaIndex
Learn how to connect Open Data Euskadi to LlamaIndex and start using 2 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 Open Data Euskadi MCP Server?
Connect to the Open Data Euskadi ecosystem and interact with the Basque Government's official public data through natural conversation. This server provides direct access to a vast catalog of administrative and semantic information.
What you can do
- Content Search — Query the Euskadi.eus catalog for grants, public contracts, news, and administrative procedures using advanced filters.
- Linked Open Data (LOD) — Execute raw SPARQL queries against the GraphDB endpoint to retrieve structured RDF data for deep analysis.
- Administrative Transparency — Access real-time information on public announcements, board notices, and governmental publications.
- Meteorological Data — Retrieve specialized datasets, including weather information from Euskalmet when authorized.
- Metadata Filtering — Narrow down results by language, date ranges, and specific portal contexts to find exactly what you need.
How it works
- Subscribe to this server
- Enter your Euskalmet JWT (optional for public data)
- Start querying Basque public data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts & Researchers — perform complex semantic queries across public datasets without manual exports
- Legal & Administrative Professionals — track public grants, subsidies, and government contracts in real-time
- Developers — integrate official Basque government data and news feeds directly into your AI-driven workflows
Built-in capabilities (2)
Execute a SPARQL query against Open Data Euskadi
Search the Euskadi.eus content catalog
Why LlamaIndex?
LlamaIndex agents combine Open Data Euskadi tool responses with indexed documents for comprehensive, grounded answers. Connect 2 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Open Data Euskadi tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Open Data Euskadi tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Open Data Euskadi, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Open Data Euskadi tools were called, what data was returned, and how it influenced the final answer
Open Data Euskadi in LlamaIndex
Open Data Euskadi and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Open Data Euskadi to LlamaIndex 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 Open Data Euskadi in LlamaIndex
The Open Data Euskadi 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 2 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex 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
Open Data Euskadi for LlamaIndex
Every tool call from LlamaIndex to the Open Data Euskadi 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 filter content by a specific language or date range?
You can use the metadata_filters parameter in the search_euskadi_content tool. For example, use documentLanguage.EQ.es for Spanish or procedureStartDate.BETWEEN.01/01/2023,31/12/2023 for dates.
Can I perform advanced semantic analysis on the data?
Yes! Use the execute_sparql_query tool to run raw SPARQL queries against the Linked Open Data (LOD) endpoint. This allows you to traverse relationships in the RDF graph directly.
What types of administrative content can I search for?
The search_euskadi_content tool allows you to filter by content_type. Common types include ayuda_subvencion (grants), contratacion (contracts), noticia (news), and anuncio_tablon (board notices).
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Open Data Euskadi tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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