Use Flow Cytometry Analysis with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Analyze fluorescence-based flow cytometry data, calculate cell population metrics, and apply spectral compensation.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete Flow Cytometry Analysis capability set.
These are the exact actions your AI can choose when you ask it to work with Flow Cytometry Analysis.
01-04
4 capabilities in this set.
Part of 4 available through Flow Cytometry Analysis.
- 01
Apply compensation
Adjusts fluorescence data to correct for spectral overlap between fluorophores
- 02
Analyze populations
Calculates the percentage and statistical metrics for defined cell populations
- 03
Evaluate isotype background
Determines the level of non-specific binding to establish a baseline for true fluorescence
- 04
Get population statistics
Provides detailed distribution metrics for a specific gated subset
Observed, not estimated
799ms average. Fast in production.
Flow Cytometry Analysis is checked daily against the live service.
- Fastest day
- 740ms
- Slowest day
- 940ms
- 14-day trend
- Stable-3%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Flow Cytometry Analysis, so you can see the experience inside your AI.
It does not authenticate your account with Flow Cytometry Analysis. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Flow Cytometry Analysis Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_iwoEZmYtIHi9P7B3D2lrnvWwZURvhk2WfMQh9ZIO/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Flow Cytometry Analysis capabilities are ready to use.
{
"mcpServers": {
"flow-cytometry-analysis-mcp": {
"url": "https://edge.vinkius.com/vk_preview_iwoEZmYtIHi9P7B3D2lrnvWwZURvhk2WfMQh9ZIO/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Flow Cytometry Analysis owners ask.
- 01
How can I correct spectral overlap in my data?
You can use the apply_compensation capability by providing your raw fluorescence measurements and a valid compensation matrix.
- 02
Can I calculate the percentage of a specific cell population?
Yes, the analyze_populations capability calculates the percentage and statistical metrics for all defined gates in your gating strategy.
- 03
How do I check for non-specific antibody binding?
Use the evaluate_isotype_background capability to compare your target data against isotype control data to establish a baseline.
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