How to Use the Junta de Andalucía (Portal) MCP in AutoGen

Q: How do I configure Junta de Andalucía (Portal) for AutoGen?

Install autogen-extmcp. Initialize your tools using mcpservertools with a StreamableHttpServerParams endpoint, then pass them to your AssistantAgent.

Q: Do I need to manually map the Junta de Andalucía (Portal) schemas for AutoGen?

No. The McpToolAdapter translates the MCP Server schemas into native AutoGen function definitions automatically.

Deploy multi-agent AutoGen teams to debate and analyze public data from the Andalusian government.

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Connect Junta de Andalucía (Portal) MCP to AutoGen

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Setup Junta de Andalucía (Portal) with AutoGen

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Debate Andalusian Statistics

The `search_datastore` tool gives your AutoGen agents direct read access to Andalusian public records over the MCP server. A researcher agent can pull employment figures while a separate analyst agent reviews the exact same data to check for statistical anomalies. They argue over the interpretation based on the raw API response. This multi-agent setup prevents single-point failures in data analysis. If the first agent misinterprets the JSON payload, the second agent catches the error and requests a new search query. They negotiate until they agree on the facts.

Autonomously Map the Portal via MCP

Calling `list_organizations` and `list_groups` allows your agents to autonomously discover the structure of the Andalusian government. One agent maps the departments while another builds a list of target datasets. They divide the labor of exploring the public portal. You just give them a high-level goal, like finding all environmental data. The agents execute the necessary MCP tool calls, share the results in their shared chat, and decide which packages to investigate next.

Cross-Reference Package Metadata

Triggering `list_packages` gives the team a massive list of dataset IDs, which they then process by calling `get_package` and `get_resource`. The agents coordinate to handle pagination and rate limits. One agent fetches the metadata while the other parses the file formats. Microsoft's framework handles the schema conversion automatically through the adapter. You don't write any glue code. The agents just see available functions and use them to debate the validity of the public records they find.

Setup guide

Set up Junta de Andalucía (Portal) 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 Junta de Andalucía (Portal) 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="Junta de Andalucía (Portal)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Junta de Andalucía (Portal) 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="Junta de Andalucía (Portal)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Junta de Andalucía (Portal) 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 Junta de Andalucía. 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 Junta de Andalucía (Portal) MCP in AutoGen

Install `autogen-ext[mcp]`. Initialize your tools using `mcp_server_tools` with a `StreamableHttpServerParams` endpoint, then pass them to your `AssistantAgent`.

Yes. Any agent in your chat with the tools equipped can call them. They share the outputs in the conversation history for other agents to review.

No. The `McpToolAdapter` translates the MCP Server schemas into native AutoGen function definitions automatically.

The framework supports both stdio and Streamable HTTP transports for connecting to the server.

Your search parameters for public government datasets run through a stateless sandboxed environment. The server holds no memory of your analytical debates once the connection drops.

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