How to Use the Blood Type Compatibility & Demographics MCP in CrewAI

Q: Can a CrewAI agent use Blood Type Compatibility & Demographics for triage?

Yes. You can assign a triage agent to use getrbccompatibility to check donor safety for multiple patients in a row.

Q: Does CrewAI support regional data for Blood Type Compatibility & Demographics?

CrewAI can call getpopulationdistribution to get regional data. This helps your research agent build a full profile of a local area.

Deploy autonomous blood safety teams with CrewAI.

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Connect Blood Type Compatibility & Demographics MCP to CrewAI

Create your Vinkius account to connect Blood Type Compatibility & Demographics to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Blood Type Compatibility & Demographics with CrewAI

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Multi-agent clinical research

Assign a researcher agent to pull data using `get_population_distribution`. A second analyst agent can then interpret those numbers for a specific region. This team works together to create a full picture of local blood availability. It's much faster than one agent trying to do everything at once.

Autonomous compatibility screening

Set up a crew where one agent acts as a triage specialist. It uses `get_rbc_compatibility` and `get_plasma_compatibility` to verify donor safety across multiple requests. The moderator agent ensures no rules are broken. This is how you build a system that handles high-volume screening without manual oversight.

Proactive risk monitoring

A dedicated agent can run `analyze_pregnancy_risk` as part of a larger health monitoring operation. It flags issues for a human moderator to review. The shared memory lets the whole crew stay updated on patient history. It's a solid way to manage complex medical data at scale.

Setup guide

Set up Blood Type Compatibility & Demographics 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 Blood Type Compatibility & Demographics tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Blood Type Compatibility & Demographics Analyst",
    goal="Access and analyze Blood Type Compatibility & Demographics data via MCP.",
    backstory="Expert analyst with direct Blood Type Compatibility & Demographics access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Blood Type Compatibility & Demographics transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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="Blood Type Compatibility & Demographics Analyst",
        goal="Access and analyze Blood Type Compatibility & Demographics data via MCP.",
        backstory="Expert analyst with direct Blood Type Compatibility & Demographics access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Blood Type Compatibility & Demographics 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 →

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