
Connect Protein Stability Predictor to ChatGPT and Claude
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Model protein thermodynamics and formulation stability in your AI client.
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.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 4 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 4 available through Protein Stability Predictor.
- 01
Calculate aggregation risk
This capability evaluates how likely a protein is to form insoluble aggregates. It helps you identify sequences that might precipitate during processing.
- 02
Evaluate formulation impact
Use this to compare how different buffer compositions affect protein stability. It helps you pick the best environment for your protein.
- 03
Predict thermal stability
This capability determines the temperature at which a protein undergoes significant unfolding. It provides the melting temperature (Tm) for specific conditions.
- 04
Estimate shelf life
This capability predicts how long a protein stays stable under defined storage conditions. It gives you a timeframe for product viability.
Real work
What teams actually run
Buffer Optimization
You can test how adding sucrose or changing salt concentrations affects the stability of a protein sequence.
Sequence Screening
Your agent can scan multiple protein sequences to find those with the highest melting temperatures.
Storage Planning
Use the capability to determine if a protein can survive long-term storage at 4 degrees Celsius.
Risk Mitigation
Check the aggregation propensity of a new protein to avoid precipitation during manufacturing.
One connector, every AI
Protein Stability Predictor works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Protein Stability Predictor to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
905ms average. Fast in production.
Protein Stability Predictor is checked daily against the live service.
- Fastest day
- 729ms
- Slowest day
- 1047ms
- 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 Protein Stability Predictor, so you can see the experience inside your AI.
It does not authenticate your account with Protein Stability Predictor. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Protein Stability Predictor Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_YRqdZewqSqYslka3gJgWuPQD3Xbsgu9SzOAlJy3e/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 — Protein Stability Predictor capabilities are ready to use.
{
"mcpServers": {
"protein-stability-predictor-mcp": {
"url": "https://edge.vinkius.com/vk_preview_YRqdZewqSqYslka3gJgWuPQD3Xbsgu9SzOAlJy3e/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
Guided setup for Claude? Set up Protein Stability Predictor in Claude and other AIs
Who it's for
Built for the work Protein Stability Predictor owners hand off.
This MCP is designed for scientists working in protein engineering and biopharmaceutical development.
- 01
Biochemists
They use the agent to model protein behavior under different pH and temperature conditions.
- 02
Protein Engineers
They rely on the capability to predict how sequence changes affect thermal stability.
- 03
Formulation Scientists
They use the agent to optimize buffer compositions and predict product shelf life.
FAQ
Questions Protein Stability Predictor owners ask.
- 01
What AI clients can I use with this MCP?
You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
- 02
Do I need to host the MCP myself?
No, Vinkius hosts and manages the MCP for you. You just connect and start using the capabilities.
- 03
Can I predict stability for specific pH levels?
Yes, you can use the thermal stability capability to find the melting temperature at specific pH and temperature settings.
- 04
How does it help with protein aggregation?
The calculate_aggregation_risk capability evaluates the likelihood of a protein forming insoluble aggregates based on your provided parameters.
- 05
Can I use this to optimize my buffer?
Yes, the evaluate_formulation_impact capability lets you compare how different buffer compositions affect stability.
- 06
How accurate are the stability predictions?
Predictions are based on advanced thermodynamic models and protein-specific constants, providing a high-confidence estimate for Tm and aggregation risk.
- 07
Can I include additives in the stability calculation?
Yes, you can include chemical additives in predict_thermal_stability and estimate_shelf_life to account for their stabilizing or destabilizing effects.
- 08
How do I connect this to my AI client?
You can connect via Vinkius Edge using your personal Connection Token. It is compatible with Cursor, VS Code, Claude Desktop, and Windsurf.
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Connect Protein Stability Predictor to Claude, Cursor, ChatGPT & more
