How to Use the Ayuntamiento de Zaragoza MCP in AutoGen

Q: How do AutoGen agents load the Ayuntamiento de Zaragoza tools?

Use mcpservertools with a StreamableHttpServerParams configuration pointing to your MCP integration URL. The McpToolAdapter automatically converts the JSON schema for your AssistantAgent.

Q: How do I stop AutoGen from spamming the Ayuntamiento de Zaragoza API?

Set a maxconsecutiveautoreply limit on your agents. This forces the conversation to pause or terminate if they get stuck in a loop calling listopen311requests.

Deploy AutoGen multi-agent systems to debate and manage Zaragoza municipal workflows from 311 complaints to public maps.

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Connect Ayuntamiento de Zaragoza MCP to AutoGen

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Setup Ayuntamiento de Zaragoza with AutoGen

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Perplexity

Coordinate Zaragoza MCP Server tasks

Multiple agents coordinate to handle complex municipal scheduling. A search agent queries `list_agendas` to find available offices, while a user-preference agent filters the output of `get_agenda_availability`. They discuss the best options before handing off to an execution agent that calls `book_appointment`. Verification happens automatically through agent debate. If the execution agent fails to book the slot, a diagnostic agent reviews the error logs and suggests checking `get_my_appointments` to see if a conflicting booking already exists. The system self-corrects through conversation.

Validate 311 ticket submissions

Filing official complaints requires accuracy to avoid municipal rejection. You assign one agent to draft the complaint and another to verify it against `get_open311_service` requirements. The verifier challenges the drafter if mandatory fields are missing before allowing the `submit_open311_request` MCP toolkit call. Historical context informs the debate. A research agent pulls recent tickets via `list_open311_requests` and points out similar issues in the same neighborhood. The team decides whether to submit a new ticket or append information to an existing one.

Manage collaborative mapping

Spatial planning benefits directly from competing perspectives. A planning agent proposes new zones by calling `create_map`, but a review agent immediately checks `list_public_maps` to ensure no overlapping community projects exist. They negotiate the final boundaries. Cleanup routines run as background agent discussions. A maintenance agent identifies stale projects using `get_map_detail` and proposes deletion. An oversight agent approves the action, triggering `delete_map` only after consensus is reached.

Setup guide

Set up Ayuntamiento de Zaragoza 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 Ayuntamiento de Zaragoza 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="Ayuntamiento de Zaragoza_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Ayuntamiento de Zaragoza 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="Ayuntamiento de Zaragoza_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Ayuntamiento de Zaragoza 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 Ayuntamiento de Zaragoza. 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 Ayuntamiento de Zaragoza MCP in AutoGen

Use mcp_server_tools with a StreamableHttpServerParams configuration pointing to your MCP integration URL. The McpToolAdapter automatically converts the JSON schema for your AssistantAgent.

The framework manages execution turns sequentially based on the conversation flow. One agent might call `execute_sparql_query` while another waits for the result to formulate its response.

No. The MCP adapter translates the tool definitions directly into AutoGen's native format. Your agents understand the required inputs for `execute_sparql_query` without manual mapping.

Set a max_consecutive_auto_reply limit on your agents. This forces the conversation to pause or terminate if they get stuck in a loop calling `list_open311_requests`.

Every Vinkius connection operates on an ephemeral basis. Agents discuss sensitive appointment details pulled from `get_agenda_detail`, but the session state vanishes completely once the AutoGen process terminates.

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