Analytics and monitoring toolkit for MCP servers, featuring user tracking, session replay, and live debugging. Provides insights into tool invocations, errors, and performance. Similar to Sentry or PostHog but MCP-specific. Use cases: observing AI agent behaviors, debugging tool chains, and optimizing MCP performance in production.
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MCPcat
MCPcat offers specialized observability for MCP servers in TS/Python.
MCP-focused alternative to general APM tools.
Free and open-source.
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