How to Use the Gobierno Abierto Valencia MCP in AutoGen
Let your AutoGen agents debate and analyze Valencia's public datasets with real-time data access.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Gobierno Abierto Valencia MCP to AutoGen
Create your Vinkius account to connect Gobierno Abierto Valencia 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.
Coordinate multi-agent research on Valencia's data
The `list_packages` tool provides your AutoGen planning agent with a complete list of available datasets from Valencia. The planner can then assign specific datasets to researcher agents for deeper investigation. By using `list_groups` alongside it, your agents can divide the work by municipal categories like transit or budget. One agent can focus on environmental data while another pulls financial records, coordinating their findings in a single conversation.
Verify dataset schemas through MCP Server tools
The `show_package` tool gives your analyst agent the metadata needed to understand a dataset's structure. Before writing any data-processing code, the agent verifies the fields and types to avoid runtime errors. Your code-generation agent can then use `show_resource` to inspect individual file links. This multi-agent verification loop ensures that the code written to parse Valencia's data is accurate and matches the live API structure.
Query live municipal records during agent debates
The `search_datastore` tool allows your agents to query actual records within Valencia's databases. When agents debate public policies or trends, they can pull real-time data to back up their arguments. A critic agent can challenge a conclusion by demanding a fresh query of the datastore. The researcher agent executes the query, retrieves the latest rows, and presents the evidence to resolve the debate.
Set up Gobierno Abierto Valencia 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 Gobierno Abierto Valencia 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="Gobierno Abierto Valencia_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Gobierno Abierto Valencia 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="Gobierno Abierto Valencia_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Gobierno Abierto Valencia 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 Gobierno Abierto Valencia. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Gobierno Abierto Valencia MCP in AutoGen
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Gobierno Abierto Valencia MCP today
We host it, we monitor it, we maintain it. You just paste one token.