https://ingero.io/mcp-observability-interface-ai-agents-kernel-tracepoints/
Article
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Proposes using MCP (Model Context Protocol) as an interface for AI agents to query kernel tracepoints
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Enables AI agents to access low-level system observability data via eBPF/tracing
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Positions MCP as a standard layer between AI and systems monitoring
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Demonstrates connecting agent queries to kernel-level telemetry
Discussion
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Most MCP servers still wrap legacy APIs; industry hasn’t reimagined the experience yet
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Security concern: MCP endpoint allowing custom SQL queries could let a rogue AI manipulate the monitoring DB
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One commenter asks if a dynamic eBPF MCP module could generate probe points on the fly
Discuss on HN