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MCPcat is an analytics platform for MCP server owners 🐱. It captures user intentions and behavior patterns to help you understand what AI users actually need from your tools — eliminating guesswork and accelerating product development all with one-line of code.
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This SDK also provides a free and simple way to forward telemetry like logs, traces, and errors to any Open Telemetry collector or popular tools like Datadog and Sentry.
### Forwarding data to existing observability platforms
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MCPcat seamlessly integrates with your existing observability stack, providing automatic logging and tracing without the tedious setup typically required. Export telemetry data to multiple platforms simultaneously:
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@@ -102,7 +104,7 @@ from mcpcat import MCPCatOptions, ExporterConfig
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mcpcat.track(
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server,
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"proj_0000000", # Or None since MCPcat is optional when sending data to existing observability platforms
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"proj_0000000", # Or None if you just want to use the SDK to forward telemetry
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MCPCatOptions(
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exporters={
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# OpenTelemetry - works with Jaeger, Tempo, New Relic, etc.
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