Vinkius
CNMC

CNMC MCP for AI. Pull Spanish Market Data Directly Into Your Agent.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

CNMC (Comisión Mercados y Competencia) MCP on Cursor AI Code EditorCNMC (Comisión Mercados y Competencia) MCP on Claude Desktop AppCNMC (Comisión Mercados y Competencia) MCP on OpenAI Agents SDKCNMC (Comisión Mercados y Competencia) MCP on Visual Studio CodeCNMC (Comisión Mercados y Competencia) MCP on GitHub Copilot AI AgentCNMC (Comisión Mercados y Competencia) MCP on Google Gemini AICNMC (Comisión Mercados y Competencia) MCP on Lovable AI DevelopmentCNMC (Comisión Mercados y Competencia) MCP on Mistral AI AgentsCNMC (Comisión Mercados y Competencia) MCP on Amazon AWS Bedrock

Connect to your AI in seconds.

CNMC (Comisión Nacional de los Mercados y la Competencia) provides direct access to Spanish public market data. Use this MCP to search, filter, and retrieve official records across major sectors like energy, telecommunications, transport, and postal services.

It lets your agent pull structured statistics directly from the CNMC open data portal without manual CSV downloads.

What your AI can do

Datastore search

Retrieves actual records from a specific CNMC resource ID that you already found.

Package search

Searches the entire CNMC catalog using keywords to find relevant datasets and resources.

Find available datasets

Search the CNMC catalog using general keywords or queries to find relevant data packages.

Filter records by criteria

Narrow down large datasets, pulling only rows matching specific dates, regions, or categories.

Extract raw market statistics

Retrieve actual structured data records from a specified resource ID.

Included with Plan

Waiting for input…

AI Agent

CNMC (Comisión Mercados y Competencia) MCP - 2 Tools

These two tools let you find the right datasets and pull structured records from the CNMC open data portal using your agent.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using CNMC (Comisión Mercados y Competencia) on Vinkius

Datastore Search

Retrieves actual records from a specific CNMC resource ID that you already found.

Package Search

Searches the entire CNMC catalog using keywords to find relevant datasets and...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The CNMC integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with CNMC (Comisión Mercados y Competencia), then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,100+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week
CNMC MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CNMC (Comisión Mercados y Competencia). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 2 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Collecting Spanish Market Data used to be a massive manual chore.

Before using this connector, you had to jump between the CNMC website and various specialized portals. You’d manually search for 'energy' data, find the correct resource link, download a multi-gigabyte CSV file, open it in Excel, and then write formulas just to filter down to the specific quarter or region you actually needed.

Now, your agent handles that entire sequence. You ask for what you need—a filtered record set from a specific sector. It runs `package_search` behind the scenes to find the resource ID, uses that ID in `datastore_search`, and returns only the clean, relevant data table right away.

Using the CNMC MCP gives you direct access to filtered records.

The two main manual steps that disappear are searching for the resource ID and then running complex filters within a spreadsheet. You don't copy, paste, or manually check dates anymore.

You simply ask your agent for the data you want, specifying the parameters, and it executes the full sequence of finding and retrieving. It’s that simple.

What your AI can actually do with this

Need market stats for Spain? This connector gives your AI client direct access to the CNMC's public data catalog. You can stop spending hours navigating government websites or downloading massive, disorganized spreadsheets. Instead, you tell your agent what you need—like 'total natural gas consumption in 2022'—and it handles the complex search logic itself.

The MCP lets your agent perform two critical steps: first, it finds the specific dataset ID using keywords; second, it pulls only the exact records and rows you requested from that resource. This means whether you're running competitive analysis or writing a regulatory report, you get clean, filtered data right back to your chat window.

It’s built into Vinkius, so once you connect your agent, you gain access to this specific Spanish market data alongside thousands of others. You just point it at the problem, and it pulls the numbers.

Built · Hosted · Managed by Vinkius CNMC MCP - Access Spanish Market & Competition Data
Server ID 019e387a-5179-724b-a248-40c2e7dc489e
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Questions you might have

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.

When running `datastore_search`, do I need to manage my rate limits or API credentials? +

Yes, while initial queries are fine, sustained high-volume retrieval requires an API key. Your agent must use this key for datastore_search to maintain consistent access and prevent throttling errors.

If I run `datastore_search` and get an error, should I first re-run `package_search`? +

Absolutely. If the data retrieval fails, the issue is often with the resource ID. Use package_search again to verify that you have the correct, current unique identifier for your target dataset.

Does `package_search` allow me to look up datasets outside of telecommunications or energy sectors? +

The catalog covers multiple domains within Spanish market regulation. Use package_search with broader keywords to locate resources related to transport, postal services, and other relevant economic areas.

What is the expected format when I successfully execute a query using `datastore_search`? +

The data retrieved from datastore_search comes in structured records. Your agent will process these rows, making them ready for immediate analysis or further filtering within your client environment.

What is the proper workflow when using `package_search` before attempting any data pulls? +

The first step must always be to run package_search. This locates the specific dataset and provides the required unique resource ID, which you then feed into datastore_search for actual records.

Built & Managed by Vinkius 30s setup 2 tools

We've already built the connector for CNMC. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 2 tools are live and waiting. You're up and running in seconds.

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