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

Q: How do AutoGen agents coordinate when searching the CNMC (Comisión Mercados y Competencia) catalog?

One agent uses packagesearch to find the correct dataset ID and posts it to the group chat. Another agent then picks up that ID to execute the datastoresearch tool for raw market records.

Q: How do I register the CNMC (Comisión Mercados y Competencia) tools with my AutoGen assistant?

You use the mcpservertools helper to fetch the tool definitions from the MCP server. Then, pass the resulting tool list directly into your AssistantAgent constructor to make them available for the debate.

Enable multi-agent debate over Spanish market and competition data using AutoGen conversational workflows.

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Connect CNMC (Comisión Mercados y Competencia) MCP to AutoGen

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Setup CNMC (Comisión Mercados y Competencia) with AutoGen

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Let AutoGen agents debate CNMC catalog search results

The `package_search` tool allows one agent to locate Spanish competition datasets over MCP while another agent reviews the search relevance. This multi-agent setup ensures your system doesn't pull incorrect market files. AutoGen handles the negotiation between the searcher agent and the analyst agent automatically. You get a refined selection of Spanish regulatory sources before any data extraction begins.

Extract and verify raw market records via agent consensus

The `datastore_search` tool retrieves granular Spanish competition records for your agent group to analyze. An analyst agent can extract the raw rows while an auditor agent checks for compliance anomalies. This collaborative process reduces errors when interpreting complex market shares or regulatory fines. The agents cross-reference the raw data tables until they reach a consensus on the findings.

Coordinate complex Spanish market research tasks

This MCP server registers its tools with your `AssistantAgent` using the standard tool adapter. The agents then use these tools to execute multi-phase investigations into Spanish market sectors. You define the conversation flow, allowing agents to hand off the Spanish market data to one another. This keeps the execution structured, with one agent fetching data and another compiling the report.

Setup guide

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

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes CNMC (Comisión Mercados y Competencia) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="CNMC (Comisión Mercados y Competencia)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent CNMC (Comisión Mercados y Competencia) data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="CNMC (Comisión Mercados y Competencia)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent CNMC (Comisión Mercados y Competencia) data")
    print(result.messages[-1].content)

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 AutoGen

One agent uses `package_search` to find the correct dataset ID and posts it to the group chat. Another agent then picks up that ID to execute the `datastore_search` tool for raw market records.

Yes, you can set up a multi-agent conversation where one agent retrieves the raw market records and a critic agent validates the statistical trends. This ensures high accuracy when analyzing Spanish regulatory datasets.

You use the `mcp_server_tools` helper to fetch the tool definitions from the MCP server. Then, pass the resulting tool list directly into your `AssistantAgent` constructor to make them available for the debate.

Yes, the adapter handles asynchronous execution, allowing your agents to query multiple Spanish market datasets concurrently. This reduces the time spent waiting for regulatory records during complex group chats.

The MCP server runs in an isolated, ephemeral V8 container that processes your queries securely. Your API credentials for the Spanish competition portal are never stored or exposed to the individual agents in the conversation.

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