How to Use the Datos Abiertos Castilla-La Mancha MCP in AutoGen
Let your AutoGen agents debate and analyze Castilla-La Mancha public datasets to make consensus-driven decisions.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Datos Abiertos Castilla-La Mancha MCP to AutoGen
Create your Vinkius account to connect Datos Abiertos Castilla-La Mancha 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 AutoGen agents discover Spanish datasets
This MCP Server provides `list_datasets` and `get_dataset` to give your AutoGen agents direct access to Spanish regional statistics. One agent can search for relevant topics while another validates the dataset's publication date. This division of labor prevents your system from using stale public records. Because AutoGen supports multi-agent conversations, the agents can argue about which dataset is most relevant before calling the next tool. You get a more thoroughly vetted result.
Run collaborative queries with `search_datastore`
The `search_datastore` tool allows your AutoGen database agent to query specific tables in the Castilla-La Mancha repository. A separate analyst agent then reviews the returned rows to spot trends or anomalies. This collaborative workflow mimics how human data teams operate. The agents exchange messages to refine the search parameters. If the first query returns too many rows, the analyst agent asks the database agent to run a more filtered search.
Map regional topics using `list_tags` and `get_resource`
The `list_tags` tool helps your AutoGen agents categorize the vast Castilla-La Mancha catalog by topic using this MCP Server. An agent reads these tags to narrow down the search space before pulling file details with `get_resource`. This structured approach saves API calls and speeds up execution. If a resource format is incompatible, a security agent can flag it before the execution agent tries to download it. This multi-agent verification keeps your pipeline running smoothly.
Set up Datos Abiertos Castilla-La Mancha 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 Abiertos Castilla-La Mancha 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 Abiertos Castilla-La Mancha_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Datos Abiertos Castilla-La Mancha 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 Abiertos Castilla-La Mancha_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Datos Abiertos Castilla-La Mancha 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 Abiertos Castilla-La Mancha. 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 Abiertos Castilla-La Mancha MCP in AutoGen
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