How to Use the CNMC (Comisión Mercados y Competencia) MCP in LlamaIndex

Q: How do I index CNMC (Comisión Mercados y Competencia) datasets into LlamaIndex?

You use McpToolSpec to load the MCP tools and fetch the records using datastoresearch. LlamaIndex then parses these market records into document nodes, which you can insert directly into your vector index.

Q: Can LlamaIndex agents search the CNMC (Comisión Mercados y Competencia) catalog dynamically?

Yes, the FunctionAgent uses the packagesearch tool to locate specific Spanish competition registries based on user queries. The agent extracts the necessary resource ID to run subsequent data lookups on its own.

Q: Can I restrict which Spanish market tools the indexer can access?

Yes, you can pass an allowedtools filter when initializing the client to limit access. This lets you restrict your agent to catalog searches while blocking raw datastore queries if needed.

Index Spanish market and competition records directly into LlamaIndex vector stores for grounded regulatory queries.

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Connect CNMC (Comisión Mercados y Competencia) MCP to LlamaIndex

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Setup CNMC (Comisión Mercados y Competencia) with LlamaIndex

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Index CNMC catalog searches into your LlamaIndex vector store

The `package_search` tool exposes the entire Spanish competition registry to your LlamaIndex data ingestion pipeline using an active MCP connection. Your agent queries the directory to find relevant market datasets and indexes their metadata immediately. This structured metadata becomes part of your local index, allowing semantic search to find the right database ID later. You avoid querying the live API repeatedly by grounding your agent in this indexed catalog map.

Feed raw market records into RAG pipelines

The `datastore_search` tool retrieves specific Spanish market records to populate your active query index. LlamaIndex takes these raw rows and converts them into document nodes for semantic retrieval. Your LLM reads from this localized context, ensuring its answers about Spanish competition rulings are backed by actual data. This setup removes the risk of hallucinated market figures during complex analysis.

Build a queryable knowledge base of Spanish market data

This MCP server integrates with `McpToolSpec` to turn live regulatory lookups into queryable data sources. Your LlamaIndex agent dynamically decides when to fetch fresh data and when to use the index. Combining live API calls with your existing document stores gives you a complete view of Spanish market dynamics. The agent synthesizes the retrieved database rows with your internal policy documents without manual intervention.

Setup guide

Set up CNMC (Comisión Mercados y Competencia) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all CNMC (Comisión Mercados y Competencia) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to CNMC (Comisión Mercados y Competencia) tools.",
)
response = await agent.run("List recent CNMC (Comisión Mercados y Competencia) data")

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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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Common questions about CNMC (Comisión Mercados y Competencia) MCP in LlamaIndex

You use `McpToolSpec` to load the MCP tools and fetch the records using `datastore_search`. LlamaIndex then parses these market records into document nodes, which you can insert directly into your vector index.

Yes, the `FunctionAgent` uses the `package_search` tool to locate specific Spanish competition registries based on user queries. The agent extracts the necessary resource ID to run subsequent data lookups on its own.

You can cache the retrieved market records locally in your index to minimize live API calls. This approach ensures your RAG pipeline remains fast and responsive while preserving access to the Spanish competition data.

Yes, you can pass an `allowed_tools` filter when initializing the client to limit access. This lets you restrict your agent to catalog searches while blocking raw datastore queries if needed.

Yes, all data extraction occurs within a zero-trust sandbox that encrypts your MCP endpoint token. The raw market records are pulled directly into your local LlamaIndex instance without passing through third-party servers.

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