How to Use the Ayuntamiento de Barcelona (CKAN) MCP in AutoGen

Enable multi-agent debate on urban data using Ayuntamiento de Barcelona (CKAN) in AutoGen.

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Connect Ayuntamiento de Barcelona (CKAN) MCP to AutoGen

Create your Vinkius account to connect Ayuntamiento de Barcelona (CKAN) 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.

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Setup Ayuntamiento de Barcelona (CKAN) with AutoGen

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Perplexity

Debate municipal data records

Assign one AutoGen agent to query `bcn_current_packages` while another reviews the metadata for potential errors. The agents debate the findings until they agree on the best dataset to use. This consensus-based approach is perfect for complex data analysis. You get more reliable answers because multiple agents challenge each other's interpretations of city stats.

Automated SQL negotiation

Let a security agent vet your `bcn_datastore_search_sql` queries before an execution agent runs them. They negotiate the parameters to ensure you get the right data safely. This setup prevents lazy queries from hitting your endpoints. Your agents converge on the most efficient way to extract information from Barcelona's public databases.

Negotiate data retrieval strategies

Use the `bcn_package_search` tool to let agents brainstorm search terms. They challenge each other to refine the query until it matches the specific municipal records you need. Your agents work as a team to solve ambiguous requests. It's the best way to handle large catalogues where the exact dataset name isn't obvious at first.

Setup guide

Set up Ayuntamiento de Barcelona (CKAN) 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 Barcelona (CKAN) 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 Barcelona (CKAN)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Ayuntamiento de Barcelona (CKAN) data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about Ayuntamiento de Barcelona (CKAN) MCP in AutoGen

You pass the tool list into the AssistantAgent constructor. All agents in your conversation group can then access the server functions.

Yes, that is the point. You can set up a critic agent to challenge the data returned by the tool-calling agent, forcing a consensus.

The McpToolAdapter converts the server schema for you. You don't need to write custom wrappers to get the tools working in your agent chats.

It supports both stdio and Streamable HTTP. You can pick the one that fits your infrastructure best.

Vinkius manages all authentication via an endpoint token. Your agents only interact with public data, and every request is isolated within a V8 sandbox.

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