How to Use the CHA₂DS₂-VASc & HAS-BLED Calculator MCP in AutoGen

AutoGen: Facilitate consensus on stroke and bleeding risk using our CHA₂DS₂-VASc & HAS-BLED Calculator with AutoGen.

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Connect CHA₂DS₂-VASc & HAS-BLED Calculator MCP to AutoGen

Create your Vinkius account to connect CHA₂DS₂-VASc & HAS-BLED Calculator 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 CHA₂DS₂-VASc & HAS-BLED Calculator with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Multi-Agent Deliberation

Set up agents to debate the patient's profile. One agent can use `query_cha2ds2_vasc_score` (the 'Stroke Agent'), while a second uses `calculate_hasbled_score` (the 'Bleeding Agent'). The final consensus agent then weighs these two conflicting scores and determines the best path forward.

Conflict Resolution for Care Plans

The system handles disagreement naturally. If one agent flags a high risk, another can challenge it by asking for more input or reviewing guidelines. This mimics real clinical discussion where multiple perspectives lead to the final decision.

Structured Decision Making

The `get_risk_recommendations` tool provides a structured output that agents can debate. Instead of a simple answer, the conversation focuses on *why* a recommendation is best. This forces the entire system to justify its final conclusion.

Setup guide

Set up CHA₂DS₂-VASc & HAS-BLED Calculator 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 CHA₂DS₂-VASc & HAS-BLED Calculator 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="CHA₂DS₂-VASc & HAS-BLED Calculator_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent CHA₂DS₂-VASc & HAS-BLED Calculator 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="CHA₂DS₂-VASc & HAS-BLED Calculator_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent CHA₂DS₂-VASc & HAS-BLED Calculator data")
    print(result.messages[-1].content)

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 CHA₂DS₂-VASc & HAS-BLED Calculator. 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 CHA₂DS₂-VASc & HAS-BLED Calculator MCP in AutoGen

AutoGen lets multiple agents debate based on our calculator's outputs. For instance, a 'Risk Manager Agent' can argue with a 'Safety Agent' over conflicting scores.

Yes. You can build workflows where the agents are forced to discuss and reconcile high stroke risk against potential bleeding complications.

It manages structured clinical scoring data, specifically the inputs needed to generate both the CHA₂DS₂-VASc score and the HAS-BLED score. This drives the debate.

The agents can be tasked to call our tools sequentially and then debate which score is most critical given a specific patient context.

You pass the tool list to your AssistantAgent, allowing agents to autonomously call `get_risk_recommendations` and discuss its implications within the conversation.

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