How to Use the Ayuntamiento de Zaragoza MCP in CrewAI

Q: How would I set up a CrewAI agent to monitor new Open311 requests from Ayuntamiento de Zaragoza?

Easy. Give an agent the listopen311requests tool from this MCP server and assign it a recurring task. When it finds a new request matching your criteria, it can trigger another agent in the crew to take the next step.

Q: What's the simplest way to connect CrewAI to the Ayuntamiento de Zaragoza MCP server?

Just pass your Vinkius URL into the mcps parameter when defining your Agent in Python, like this: Agent(mcps="https://..."). CrewAI handles the connection and makes tools like querydataset instantly available to the agent.

Q: Can different agents in my crew use different tools from the server?

Yes, and you should. Use toolfilter in CrewAI's MCPServerHTTP configuration to expose specific tools to specific agents. For example, only your "Booking" agent should get access to the bookappointment tool.

Deploy a crew of autonomous agents to interact with Zaragoza city services using CrewAI. Monitor, report, and manage data 24/7.

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Connect Ayuntamiento de Zaragoza MCP to CrewAI

Create your Vinkius account to connect Ayuntamiento de Zaragoza to CrewAI 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 Zaragoza with CrewAI

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Deploy an Autonomous Monitoring Crew

With CrewAI, you can set up a team of agents to watch over city services. Assign a "Scout" agent a recurring task to run `list_open311_requests` for a specific neighborhood. Its only job is to watch for new high-priority issues, like reports of flooding. When the Scout finds a relevant issue, it doesn't act. Instead, it passes the details to a specialized "Reporter" agent. This second agent's job is to use other tools to gather more context, or escalate the issue to a human supervisor. It’s a clear division of labor.

Assemble a Data Research Crew

This MCP server lets you create a data analysis team in CrewAI. A "Data Miner" agent can use `execute_sparql_query` to pull raw demographic or environmental data from Zaragoza's open data portal. It then hands off the raw data to an "Analyst" agent. The Analyst's role is to find patterns or anomalies in the data. If it finds something interesting, it can task a "Cartographer" agent to use the `create_map` tool. This third agent visualizes the findings on a new map for a human to review.

Manage City Interactions with CrewAI

Build a crew to manage the entire appointment booking process. A "Scheduler" agent's sole responsibility is to use `list_agendas` and `get_agenda_availability` to find open slots. It presents the best options to a human for approval. Once approved, the task is passed to a separate "Booking" agent. This agent has one function: execute the `book_appointment` tool to confirm the slot. This specialized approach, powered by the tools in this MCP server, makes your autonomous operations far more reliable.

Setup guide

Set up Ayuntamiento de Zaragoza MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Ayuntamiento de Zaragoza tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Ayuntamiento de Zaragoza Analyst",
    goal="Access and analyze Ayuntamiento de Zaragoza data via MCP.",
    backstory="Expert analyst with direct Ayuntamiento de Zaragoza access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Ayuntamiento de Zaragoza transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Ayuntamiento de Zaragoza Analyst",
        goal="Access and analyze Ayuntamiento de Zaragoza data via MCP.",
        backstory="Expert analyst with direct Ayuntamiento de Zaragoza access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Ayuntamiento de Zaragoza transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Definitely. You can have one agent find available slots with `get_agenda_availability` and a second, separate agent handle the booking with `book_appointment`. This specialization is a core strength of CrewAI.

Easy. Give an agent the `list_open311_requests` tool from this MCP server and assign it a recurring task. When it finds a new request matching your criteria, it can trigger another agent in the crew to take the next step.

Just pass your Vinkius URL into the `mcps` parameter when defining your Agent in Python, like this: `Agent(mcps=["https://..."])`. CrewAI handles the connection and makes tools like `query_dataset` instantly available to the agent.

Yes, and you should. Use `tool_filter` in CrewAI's `MCPServerHTTP` configuration to expose specific tools to specific agents. For example, only your "Booking" agent should get access to the `book_appointment` tool.

Your map data, including points and descriptions, is sent securely to the ephemeral MCP Server. It's used only for the `create_map` API call and is then immediately purged. Vinkius infrastructure is zero-trust and doesn't persist your operational data.

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