Use Observability Calculator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Deterministic engine for distributed tracing metrics, cost estimation, and anomaly detection.
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 · 3 capabilities
The complete Observability Calculator capability set.
These are the exact actions your AI can choose when you ask it to work with Observability Calculator.
01-03
3 capabilities in this set.
Part of 3 available through Observability Calculator.
- 01
Analyze trace performance
Analyze key performance metrics and health indicators for provided traces
- 02
Detect tracing anomalies
Detect specific spans or sampling issues indicating instability
- 03
Estimate observability costs
Estimate the cost to store and process telemetry data
Observed, not estimated
804ms average. Fast in production.
Observability Calculator is checked daily against the live service.
- Fastest day
- 699ms
- Slowest day
- 986ms
- 14-day trend
- Slowing+31%
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 Observability Calculator, so you can see the experience inside your AI.
It does not authenticate your account with Observability Calculator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Observability Calculator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_1WXAMwTDvWAo9gwPxvsjfD55XYplaDAzSL8dINPh/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 — Observability Calculator capabilities are ready to use.
{
"mcpServers": {
"observability-tracing-calculator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_1WXAMwTDvWAo9gwPxvsjfD55XYplaDAzSL8dINPh/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 Observability Calculator owners ask.
- 01
How can I check if my system is meeting its performance SLAs?
You can use the analyze_trace_performance capability. It calculates P99 latency and error rates, and will automatically flag a violation if they exceed your specified thresholds.
- 02
How does the capability estimate storage costs?
The estimate_observability_costs capability calculates the total storage cost by multiplying the trace volume per hour by the average span size and the number of retention days.
- 03
What defines an anomalous span in this server?
Using detect_tracing_anomalies, a span is flagged as anomalous if its duration is greater than three times the standard deviation of all span durations in the dataset.
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