Use Serverless Cold Start Estimator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Estimate latency impact and cold start probabilities for serverless functions.
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 · 3 capabilities
The complete Serverless Cold Start Estimator capability set.
These are the exact actions your AI can choose when you ask it to work with Serverless Cold Start Estimator.
01-03
3 capabilities in this set.
Part of 3 available through Serverless Cold Start Estimator.
- 01
Compare cost models
Compares the monthly financial impact of On-Demand vs Provisioned Concurrency
- 02
Estimate latency delta
G., nodejs, java), memory allocation in MB, and bundle size in MB. Calculates the estimated time difference between a cold start and a warm start
- 03
Calculate cold start probability
Estimates the percentage of requests that will trigger a cold start
Observed, not estimated
660ms average. Fast in production.
Serverless Cold Start Estimator is checked daily against the live service.
- Fastest day
- 545ms
- Slowest day
- 826ms
- 14-day trend
- Slowing+12%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 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 Serverless Cold Start Estimator, so you can see the experience inside your AI.
It does not authenticate your account with Serverless Cold Start Estimator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Serverless Cold Start Estimator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_sZQiRFmKAaUoGQSbbBd2e8ZCswMdlthEzkArN3c4/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 — Serverless Cold Start Estimator capabilities are ready to use.
{
"mcpServers": {
"serverless-cold-start-estimator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_sZQiRFmKAaUoGQSbbBd2e8ZCswMdlthEzkArN3c4/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 Serverless Cold Start Estimator owners ask.
- 01
How does the latency estimation work?
The estimateLatencyImpact capability uses runtime-specific weights and considers your package size and memory allocation to calculate the latency delta. Capabilities available: estimate_latency_delta, calculate_cold_start_probability, compare_cost_models.
- 02
Can I use this for AWS Lambda?
Yes, the capabilities are highly effective for analyzing parameters like memory size and execution duration used by providers like AWS.
- 03
How do I calculate cost savings?
Use the compareConcurrencyPricing capability by providing your monthly request volume and average execution duration to see the difference in costs.
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