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

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

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

Ask AI about this MCP

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Claude

Perplexity

Multi-Agent Risk Stratification

You don't just run a single tool; you assign roles. An 'Analyst Agent' can use the scoring tools to calculate both AFib and bleeding risks. A separate 'Moderator Agent' then reviews those numbers. This role specialization means the risk calculation is handled by an expert agent, not just a simple function call.

Collaborative Data Analysis via MCP Server

One specialized agent can be tasked with getting the initial score using `query_cha2ds2_vasc_score`. Then, another agent takes that output and passes it to calculate the HAS-BLED risk. The agents work sequentially, building a full picture of the patient's total thrombotic and hemorrhagic exposure.

Generating Final Clinical Action Plans

Once all the scores are gathered by the team, the final agent can use `get_risk_recommendations` to write a structured report. This combines raw data into clear, actionable medical advice. The whole process runs autonomously without needing constant human intervention.

Setup guide

Set up CHA₂DS₂-VASc & HAS-BLED Calculator 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 CHA₂DS₂-VASc & HAS-BLED Calculator tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="CHA₂DS₂-VASc & HAS-BLED Calculator Analyst",
    goal="Access and analyze CHA₂DS₂-VASc & HAS-BLED Calculator data via MCP.",
    backstory="Expert analyst with direct CHA₂DS₂-VASc & HAS-BLED Calculator access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent CHA₂DS₂-VASc & HAS-BLED Calculator 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="CHA₂DS₂-VASc & HAS-BLED Calculator Analyst",
        goal="Access and analyze CHA₂DS₂-VASc & HAS-BLED Calculator data via MCP.",
        backstory="Expert analyst with direct CHA₂DS₂-VASc & HAS-BLED Calculator access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent CHA₂DS₂-VASc & HAS-BLED Calculator 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 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 CrewAI

It's run by specialized agents. One agent calculates the AFib risk, and a second agent uses that output to calculate bleeding risk and generate final recommendations.

The system handles structured clinical guidelines data—risk factors, demographics, and scoring inputs for cardiovascular assessment.

Yes. The multi-agent framework allows you to define a complete workflow: research, analysis, and action are all managed by specialized teams.

The entire process runs in an isolated V8 sandbox. The zero-trust proxy handles credentials, ensuring your keys never sit on a disk.

Every tool call creates a cryptographically signed audit trail. You get full visibility into what every agent did, what data flowed, and how long it took.

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