Bring Spain
to LlamaIndex
Learn how to connect CNMC (Comisión Mercados y Competencia) 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.
Compatible with every major AI agent and IDE
What is the CNMC (Comisión Mercados y Competencia) MCP Server?
Connect to the official Open Data portal of the CNMC (Comisión Nacional de los Mercados y la Competencia). This server allows AI agents to explore and extract public data regarding telecommunications, energy, transport, and postal sectors in Spain.
What you can do
- Catalog Discovery — Use
package_searchto find datasets, resources, and metadata using keywords or specific queries. - Data Extraction — Use
datastore_searchto pull actual records and rows from specific resources using their unique IDs. - Granular Filtering — Apply JSON filters to narrow down results to specific dates, regions, or categories within a dataset.
- Resource Inspection — Identify update frequencies, license types, and resource formats before processing data.
How it works
- Subscribe to this server
- Enter your CNMC API Key (if required for higher rate limits)
- Start querying Spanish market data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — quickly fetch market statistics without manual CSV downloads
- Legal & Compliance Teams — monitor regulatory data and competition records
- Policy Researchers — access public sector information for economic modeling and reporting
Built-in capabilities (2)
g., a CSV file within a dataset). Requires a resource_id obtained via package_search. Retrieve actual records from a specific CNMC resource
Use this to find the resource_id needed for datastore_search. Search for datasets and resources in the CNMC catalog
Why LlamaIndex?
LlamaIndex agents combine CNMC (Comisión Mercados y Competencia) 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.
- —
Data-first architecture: LlamaIndex agents combine CNMC (Comisión Mercados y Competencia) tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain CNMC (Comisión Mercados y Competencia) tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query CNMC (Comisión Mercados y Competencia), a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what CNMC (Comisión Mercados y Competencia) tools were called, what data was returned, and how it influenced the final answer
CNMC (Comisión Mercados y Competencia) in LlamaIndex
CNMC (Comisión Mercados y Competencia) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect CNMC (Comisión Mercados y Competencia) 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 CNMC (Comisión Mercados y Competencia) in LlamaIndex
The CNMC (Comisión Mercados y Competencia) 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
CNMC (Comisión Mercados y Competencia) for LlamaIndex
Every tool call from LlamaIndex to the CNMC (Comisión Mercados y Competencia) 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 find the resource_id needed for data retrieval?
Use the package_search tool with a query related to your topic. The response will include a list of resources, each with a unique id (the resource_id) that you can then use in datastore_search.
Can I limit the number of records returned to avoid large payloads?
Yes! The datastore_search tool includes an optional limit parameter. You can specify exactly how many rows you want to retrieve (e.g., 10 or 100) to keep the response concise.
Is it possible to filter data by a specific field, like a year or a city?
Absolutely. Use the filters parameter in datastore_search. It accepts a JSON string (e.g., {"Year": "2023"}) to return only the records that match your criteria.
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 CNMC (Comisión Mercados y Competencia) 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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