Open Data Euskadi MCP Server for AutoGenGive AutoGen instant access to 2 tools to Execute Sparql Query and Search Euskadi Content
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Open Data Euskadi as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The Open Data Euskadi MCP Server for AutoGen is a standout in the Data Analytics category — giving your AI agent 2 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="open_data_euskadi_agent",
tools=tools,
system_message=(
"You help users with Open Data Euskadi. "
"2 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Open Data Euskadi MCP Server
Connect to the Open Data Euskadi ecosystem and interact with the Basque Government's official public data through natural conversation. This server provides direct access to a vast catalog of administrative and semantic information.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Open Data Euskadi tools. Connect 2 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Content Search — Query the Euskadi.eus catalog for grants, public contracts, news, and administrative procedures using advanced filters.
- Linked Open Data (LOD) — Execute raw SPARQL queries against the GraphDB endpoint to retrieve structured RDF data for deep analysis.
- Administrative Transparency — Access real-time information on public announcements, board notices, and governmental publications.
- Meteorological Data — Retrieve specialized datasets, including weather information from Euskalmet when authorized.
- Metadata Filtering — Narrow down results by language, date ranges, and specific portal contexts to find exactly what you need.
The Open Data Euskadi MCP Server exposes 2 tools through the Vinkius. Connect it to AutoGen in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 2 Open Data Euskadi tools available for AutoGen
When AutoGen connects to Open Data Euskadi through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, sparql, public-records, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Execute sparql query on Open Data Euskadi
Execute a SPARQL query against Open Data Euskadi
Search euskadi content on Open Data Euskadi
Search the Euskadi.eus content catalog
Connect Open Data Euskadi to AutoGen via MCP
Follow these steps to wire Open Data Euskadi into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Open Data Euskadi MCP Server
AutoGen provides unique advantages when paired with Open Data Euskadi through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Open Data Euskadi tools to solve complex tasks
Role-based architecture lets you assign Open Data Euskadi tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Open Data Euskadi tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Open Data Euskadi tool responses in an isolated environment
Open Data Euskadi + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Open Data Euskadi MCP Server delivers measurable value.
Collaborative analysis: one agent queries Open Data Euskadi while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Open Data Euskadi, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Open Data Euskadi data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Open Data Euskadi responses in a sandboxed execution environment
Example Prompts for Open Data Euskadi in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Open Data Euskadi immediately.
"Search for active grants (ayuda_subvencion) in the Euskadi content catalog."
"Execute a SPARQL query to list the first 10 datasets in the Linked Open Data graph."
"Find news related to 'sustainability' in the Euskadi portal context."
Troubleshooting Open Data Euskadi MCP Server with AutoGen
Common issues when connecting Open Data Euskadi to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Open Data Euskadi + AutoGen FAQ
Common questions about integrating Open Data Euskadi MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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