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

Deploy a specialized CrewAI agent team to monitor and analyze Spanish market data from the CNMC portal.

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Connect CNMC (Comisión Mercados y Competencia) MCP to CrewAI

Create your Vinkius account to connect CNMC (Comisión Mercados y Competencia) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CNMC (Comisión Mercados y Competencia) with CrewAI

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Perplexity

CrewAI agents researching CNMC datasets

Assign a research agent to use `package_search` for finding relevant market files. It identifies the correct resource ID so your other agents can perform deeper analysis. This specialization lets one agent handle the catalog search while another processes the actual records. The team collaborates to turn raw portal data into usable insights.

Automated CNMC record processing in CrewAI

Equip your analysis agent with `datastore_search` to pull records once the ID is identified. Your agent parses the CSV data and flags competition changes in real-time. This removes the need for human oversight during data collection. The agent handles the requests and feeds the findings into the shared memory for the rest of the crew.

Hierarchical CNMC monitoring for CrewAI

Set up a manager agent to oversee the data retrieval process. It can trigger the MCP Server tools based on a schedule or a specific event. This structure ensures your operations run autonomously. The manager agent coordinates the research and analysis phases, ensuring the whole team works in sync on the market data.

Setup guide

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

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke CNMC (Comisión Mercados y Competencia) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="CNMC (Comisión Mercados y Competencia) Analyst",
    goal="Access and analyze CNMC (Comisión Mercados y Competencia) data via MCP.",
    backstory="Expert analyst with direct CNMC (Comisión Mercados y Competencia) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent CNMC (Comisión Mercados y Competencia) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="CNMC (Comisión Mercados y Competencia) Analyst",
        goal="Access and analyze CNMC (Comisión Mercados y Competencia) data via MCP.",
        backstory="Expert analyst with direct CNMC (Comisión Mercados y Competencia) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent CNMC (Comisión Mercados y Competencia) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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 CrewAI

Pass the server URL to the MCP configuration in your agent definition. You can filter the tools to limit which agent gets access to the search or data retrieval functions.

Yes, CrewAI uses shared memory. Once one agent retrieves the records, the other agents can see that data and perform their own analysis on it.

It supports SSE and Streamable HTTP. You choose the transport that best fits your infrastructure, and the server adapts to your CrewAI setup.

You only need an endpoint token provided by the Vinkius platform. The server handles the rest of the authentication requirements for you.

The server operates in an ephemeral sandbox. It isolates your data requests from other sessions, and it never stores your queries or the retrieved market results.

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