Developer Releases FleetWatch and MCP Blackbox to Monitor AI Agent Tool Servers

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A developer has open-sourced two lightweight tools — FleetWatch and MCP Blackbox — designed to address the lack of observability infrastructure for Model Context Protocol (MCP) servers used by AI agents. FleetWatch monitors registered MCP servers on a schedule, tracking uptime, latency, and response correctness, and sends alerts when a server fails or degrades. MCP Blackbox acts as a recording proxy that captures full request and response payloads for MCP traffic, permanently retaining data around failure events while pruning routine logs to manage storage costs. Both tools are built with TypeScript, NestJS, and Next.js, communicate over WebSockets, and are designed to integrate with each other — FleetWatch flags the failure while Blackbox stores the diagnostic trace. The projects are publicly available on GitHub and can be run independently or together as a paired monitoring and debugging solution.

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