How to Use the Datos.gob.es (Catálogo Nacional) MCP in AutoGen
Equip your AutoGen agents to debate and analyze Spain's open data, reaching better-informed conclusions.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Datos.gob.es (Catálogo Nacional) MCP to AutoGen
Create your Vinkius account to connect Datos.gob.es (Catálogo Nacional) to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Let Agents Debate Search Strategies
AutoGen shines when there's no single right answer. One agent can propose using `search_datasets_by_title` to find data. A critic agent can challenge that, suggesting that a broader keyword search with `list_datasets_by_keyword` might be more effective. They'll debate, test their ideas using the tools, and converge on the best way to find the information you need from the Datos.gob.es catalog. It's a collaborative approach to discovery.
Assign Agents to Analyze Data
Task one agent to be the 'Regional Analyst'. It uses `list_regions` and `list_provinces` to understand the geographic breakdown of the data. A second 'Sector Specialist' agent uses `list_public_sectors` and `list_themes` to explore by industry. They are not just running tools; they are embodying a point of view. They use this MCP server to pull their respective data points, then present their findings to a manager agent. This multi-perspective analysis leads to a more nuanced understanding than a single agent could achieve.
Build Consensus with This AutoGen MCP Server
Imagine you need the 'best' dataset on commerce. An 'Explorer' agent uses `list_datasets_by_theme` with 'comercio', while a 'Validator' agent checks the format of each result using `list_distributions_by_dataset`. They'll go back and forth until they agree on a dataset that is both on-topic and available in CSV. This conversation ensures you get a verified result, not just the first thing a tool returns. The final answer has been debated and agreed upon by multiple specialized agents.
Set up Datos.gob.es (Catálogo Nacional) 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Datos.gob.es (Catálogo Nacional) tools and returns structured results.
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="Datos.gob.es (Catálogo Nacional)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Datos.gob.es (Catálogo Nacional) data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Datos.gob.es (Catálogo Nacional)_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Datos.gob.es (Catálogo Nacional) data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Datos.gob.es. 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 Datos.gob.es (Catálogo Nacional) MCP in AutoGen
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