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README.md

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<span> · </span>
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<a href="#why-use-mcpcat-">Features</a>
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<span> · </span>
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<a href="https://mcpcat.io">Website</a>
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<a href="https://docs.mcpcat.io">Docs</a>
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<a href="https://mcpcat.io">Website</a>
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<a href="#free-for-open-source">Open Source</a>
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<a href="https://discord.gg/n9qpyhzp2u">Discord</a>
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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.
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```bash
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pip install mcpcat
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```
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mcpcat.track(server, "proj_0000000", redact_sensitive_information=redact_sync)
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```
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### Existing Platform Support
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### 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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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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