How to Use the Blood Type Compatibility & Demographics MCP in Google ADK
Sync BigQuery records with clinical tools using the Google ADK and this MCP.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Blood Type Compatibility & Demographics MCP to Google ADK
Create your Vinkius account to connect Blood Type Compatibility & Demographics to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Data-driven supply management
Use `get_population_distribution` to see how blood types vary by area. This helps you plan inventory across different regions. Connect this to your existing Google Cloud infrastructure. You can reason over large datasets to find patterns in blood type availability.
Risk assessment for couples
The `analyze_pregnancy_risk` tool evaluates Rh issues for couples. It fits into your long-context reasoning workflows for complex patient cases. Your agent can hold multiple patient factors in its context while using this tool to provide a specific risk score.
Compatibility logic for agents
Use `get_rbc_compatibility` and `get_plasma_compatibility` to check transfusion safety. These tools provide the core logic for your clinical agents. They return direct answers on donor safety. This keeps your agent's logic consistent with standard medical guidelines.
Set up Blood Type Compatibility & Demographics MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 4
Run with any Gemini model
The agent works with any Gemini model (
gemini-2.0-flash,gemini-2.5-pro, etc.). Copy the full example on the right to get started with Blood Type Compatibility & Demographics tools in your ADK agent.
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams
# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
connection_params=SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
)
# Create your agent with auto-discovered tools
agent = LlmAgent(
name="Blood Type Compatibility & Demographics_agent",
model="gemini-2.0-flash",
instruction="You have access to Blood Type Compatibility & Demographics tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Blood Type Compatibility. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Blood Type Compatibility & Demographics MCP in Google ADK
Use it with your favorite AI tools
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