Use Cyclic Voltammetry Analysis with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Analyzes electrochemical voltammetry data to derive peak characteristics, reversibility, and diffusion coefficients.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete Cyclic Voltammetry Analysis capability set.
These are the exact actions your AI can choose when you ask it to work with Cyclic Voltammetry Analysis.
01-04
4 capabilities in this set.
Part of 4 available through Cyclic Voltammetry Analysis.
- 01
Analyze peaks
Ensure they have the same length. Identifies critical peak characteristics from a raw voltammetry scan
- 02
Calculate diffusion coefficient
Computes the diffusion coefficient using the Randles-Sevcik relationship
- 03
Evaluate reversibility
Determines the electrochemical reversibility of the redox couple
- 04
Validate scan integrity
Ensures the provided voltammetry data set is physically plausible and continuous
Observed, not estimated
779ms average. Fast in production.
Cyclic Voltammetry Analysis is checked daily against the live service.
- Fastest day
- 767ms
- Slowest day
- 780ms
- 14-day trend
- Stable+2%
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 Cyclic Voltammetry Analysis, so you can see the experience inside your AI.
It does not authenticate your account with Cyclic Voltammetry Analysis. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Cyclic Voltammetry Analysis Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_9f7khLJPN6mLiMVXXWSRdN0YZr1pI0WW4nyINrph/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 — Cyclic Voltammetry Analysis capabilities are ready to use.
{
"mcpServers": {
"cyclic-voltammetry-analysis-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_9f7khLJPN6mLiMVXXWSRdN0YZr1pI0WW4nyINrph/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 Cyclic Voltammetry Analysis owners ask.
- 01
What kind of data does this server process?
It processes cyclic voltammetry data, specifically potential scans and corresponding current scans, to perform electrochemical analysis.
- 02
How is the diffusion coefficient calculated?
The calculate_diffusion_coefficient capability uses the Randles-Sevcik relationship, analyzing the slope of peak current versus the square root of the scan rate.
- 03
Can I check if my voltammetry scan is valid?
Yes, you can use the validate_scan_integrity capability to ensure the dataset is continuous and physically plausible.
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