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Integrates with vurb's observability layer to provide structured logging and optional integration with external monitoring systems.","intents":["Monitor cache effectiveness to determine if TTL values are tuned correctly","Debug performance issues by identifying which tools have high cache miss rates","Validate that caching is actually reducing tool execution frequency in production"],"best_for":["Teams running MCP servers in production who need visibility into cache performance","Developers optimizing tool handler performance and tuning TTL values"],"limitations":["Metrics are in-memory only — no persistence or historical analysis across restarts","No built-in integration with external monitoring systems (Prometheus, DataDog, etc.) — requires custom adapters","Metrics overhead adds latency to every cache operation; high-frequency tools may see measurable performance impact"],"requires":["vurb observability utilities","Optional: external monitoring system for metric export"],"input_types":["Cache operations (hits, misses, evictions)"],"output_types":["Metrics object (hit_count, miss_count, hit_rate, entry_count)","Event logs (structured JSON or text)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-utilscache__cap_3","uri":"capability://automation.workflow.conditional.caching.with.cache.bypass.rules","name":"conditional caching with cache bypass rules","description":"Allows developers to define rules that determine whether a tool response should be cached based on the tool parameters, response content, or execution context. 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Implements a filter chain pattern that evaluates bypass rules before storing responses in cache, enabling selective caching for tools with non-deterministic or context-dependent outputs.","intents":["Avoid caching error responses or partial results that should not be reused","Skip caching for specific parameter patterns (e.g., cache only for 'production' environment, not 'staging')","Cache only responses that meet quality criteria (e.g., non-empty results, successful status codes)"],"best_for":["MCP servers with tools that have non-deterministic or context-dependent behavior","Teams needing fine-grained control over what gets cached vs. what always executes fresh"],"limitations":["Bypass rule evaluation adds latency to every cache operation; complex predicates may negate caching benefits","No built-in rule composition or conflict resolution — overlapping rules may produce unexpected behavior","Rules are stateless — no context awareness across multiple tool calls or sessions"],"requires":["Predicate functions or rule definitions compatible with vurb filter chain API"],"input_types":["Tool parameters, response content, execution context"],"output_types":["Boolean (cache or bypass)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-mcp-utilscache__cap_4","uri":"capability://automation.workflow.manual.cache.invalidation.and.refresh","name":"manual cache invalidation and refresh","description":"Provides imperative APIs to manually clear cache entries by tool name, parameter pattern, or globally, and to force refresh of specific cached entries. 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