OpenLigaDB MCP Server for AutoGen 6 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add OpenLigaDB 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
Vinkius supports streamable HTTP and SSE.
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="openligadb_agent",
tools=tools,
system_message=(
"You help users with OpenLigaDB. "
"6 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 OpenLigaDB MCP Server
Empower your AI agent to orchestrate your entire football intelligence workflow with OpenLigaDB, the community-driven platform for sports results. By connecting OpenLigaDB to your agent, you transform complex match tracking into a natural conversation. Your agent can instantly retrieve match results for dozens of leagues, audit current standing tables, and query upcoming fixtures without you ever touching a sports app. Whether you are building a sports blog or monitoring your favorite team, your agent acts as a real-time sports analyst, ensuring your football data is always current and detailed.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use OpenLigaDB tools. Connect 6 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
- Match Auditing — Query full match results for any supported league and season to maintain a clear view of historical performance.
- Table Oversight — Retrieve real-time standing tables to understand league positions and point distributions instantly.
- Fixture Discovery — Query upcoming and most recent matches for any league to maintain strict control over event schedules.
- Match Intelligence — Retrieve detailed metadata for specific match IDs, including scores and goal details.
- League Discovery — List all available leagues in the OpenLigaDB catalog to identify regional event markers.
The OpenLigaDB MCP Server exposes 6 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect OpenLigaDB to AutoGen via MCP
Follow these steps to integrate the OpenLigaDB MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 6 tools from OpenLigaDB automatically
Why Use AutoGen with the OpenLigaDB MCP Server
AutoGen provides unique advantages when paired with OpenLigaDB through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use OpenLigaDB tools to solve complex tasks
Role-based architecture lets you assign OpenLigaDB 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 OpenLigaDB tool calls
Code execution sandbox: AutoGen agents can write and run code that processes OpenLigaDB tool responses in an isolated environment
OpenLigaDB + AutoGen Use Cases
Practical scenarios where AutoGen combined with the OpenLigaDB MCP Server delivers measurable value.
Collaborative analysis: one agent queries OpenLigaDB while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from OpenLigaDB, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using OpenLigaDB data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process OpenLigaDB responses in a sandboxed execution environment
OpenLigaDB MCP Tools for AutoGen (6)
These 6 tools become available when you connect OpenLigaDB to AutoGen via MCP:
get_last_league_match
Get information about the most recent match in a league
get_league_matches
Get all matches for a specific league and season
get_league_table
Get the current standing table for a league and season
get_match_details
Get full details for a specific match ID
get_next_league_match
Get information about the next match in a league
list_available_leagues
List all available leagues in the OpenLigaDB catalog
Example Prompts for OpenLigaDB in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with OpenLigaDB immediately.
"Show results for Bundesliga 1 (bl1) season 2023 using OpenLigaDB."
"What is the next match in 'bl1'?"
"List all available leagues in OpenLigaDB."
Troubleshooting OpenLigaDB MCP Server with AutoGen
Common issues when connecting OpenLigaDB to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"OpenLigaDB + AutoGen FAQ
Common questions about integrating OpenLigaDB 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?
Connect OpenLigaDB with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect OpenLigaDB to AutoGen
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.