How to Use the BOE (Boletín Oficial del Estado) MCP in AutoGen

Coordinate multi-agent legal debates in AutoGen using official BOE data.

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Connect BOE (Boletín Oficial del Estado) MCP to AutoGen

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Setup BOE (Boletín Oficial del Estado) with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate law with AutoGen agents

One agent calls `get_legislation_analysis` while another inspects the text via `get_legislation_text`. They challenge each other's interpretations of the law. This creates a consensus-driven process for legal research.

Cross-reference BOE (Boletín Oficial del Estado) records

Your AutoGen agents query `list_posterior_relations` to see how a specific law has been impacted by newer regulations. This forces agents to look at the full legal timeline. They negotiate the most current interpretation of the statute.

Manage agents with MCP tools

The `list_departments` tool provides the context your agents need to understand the issuing body of a regulation. Your team of agents uses this to filter authority levels during their discussion. It keeps your deliberation grounded in the correct administrative hierarchy.

Setup guide

Set up BOE (Boletín Oficial del Estado) 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 BOE (Boletín Oficial del Estado) 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="BOE (Boletín Oficial del Estado)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent BOE (Boletín Oficial del Estado) data")
print(result.messages[-1].content)

Get your connection token →

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="BOE (Boletín Oficial del Estado)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent BOE (Boletín Oficial del Estado) 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 BOE. 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 BOE (Boletín Oficial del Estado) MCP in AutoGen

The agents share an MCP adapter that routes their tool calls to the server. They treat the gazette as a shared knowledge source.

Yes. You provide the daily summary tool to your agents. They analyze the headlines and decide if further investigation is necessary.

Every call returns the same structured JSON response. This reliability is critical for agents debating complex legislative topics.

No. You share the server instance across all agents in your group chat. They all access the same tool set simultaneously.

All retrieved legal texts are public records. The server does not handle any sensitive user information, keeping your agent conversations isolated.

Use it with your favorite AI tools

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