@mcp-utils/cache
MCP ServerFreeTTL cache wrapper for MCP tool handlers — powered by vurb.
Capabilities5 decomposed
ttl-based tool response caching for mcp servers
Medium confidenceWraps MCP tool handlers with automatic time-to-live (TTL) caching that stores tool execution results in memory and returns cached responses within the TTL window. Implements a decorator pattern that intercepts tool calls, checks cache state, executes handlers only on cache misses, and automatically evicts stale entries. Integrates directly with MCP server tool registries to transparently cache responses without modifying handler logic.
Provides MCP-native caching via decorator pattern that wraps tool handlers at registration time, leveraging vurb's abstraction layer to integrate seamlessly with MCP server tool registries without requiring middleware or proxy layers
Simpler than generic Node.js caching libraries (node-cache, redis) because it's purpose-built for MCP tool semantics and requires zero changes to existing handler code
parameterized cache key generation for tool calls
Medium confidenceAutomatically generates cache keys from tool parameters by serializing input arguments into deterministic strings, enabling cache hits when identical parameters are passed to the same tool. Uses JSON serialization with consistent key ordering to ensure that parameter variations (e.g., different object property order) do not create duplicate cache entries. Supports custom key generation strategies for tools with non-serializable parameters or complex equality semantics.
Integrates with MCP tool parameter schemas to generate keys that respect tool-specific semantics, rather than generic object hashing
More reliable than manual key generation because it handles parameter ordering and serialization edge cases automatically
cache hit/miss metrics and observability
Medium confidenceExposes cache performance metrics (hit rate, miss rate, entry count, eviction count) via a metrics API that tracks cache operations in real time. Emits events or logs on cache hits, misses, and evictions, enabling developers to monitor cache effectiveness and debug performance issues. Integrates with vurb's observability layer to provide structured logging and optional integration with external monitoring systems.
Provides MCP-aware metrics that track cache performance per tool, not just aggregate cache statistics
More actionable than generic cache metrics because it correlates cache performance with specific MCP tool handlers
conditional caching with cache bypass rules
Medium confidenceAllows developers to define rules that determine whether a tool response should be cached based on the tool parameters, response content, or execution context. Supports predicates like 'cache only if response status is success' or 'skip cache for parameters matching pattern X'. 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.
Implements bypass rules as a composable filter chain that evaluates both input parameters and output responses, rather than static configuration
More flexible than simple TTL-only caching because it can exclude non-deterministic or error responses from cache
manual cache invalidation and refresh
Medium confidenceProvides imperative APIs to manually clear cache entries by tool name, parameter pattern, or globally, and to force refresh of specific cached entries. Supports both synchronous invalidation (immediate removal) and asynchronous refresh (background re-execution). Integrates with MCP server lifecycle hooks to enable cache clearing on server shutdown or configuration changes.
Provides both synchronous invalidation and asynchronous refresh APIs, allowing developers to choose between immediate cache clearing and background re-execution
More flexible than TTL-only expiration because it enables event-driven cache management tied to application logic
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓MCP server developers building agents that call the same tools repeatedly
- ✓Teams deploying MCP servers with rate-limited or expensive external tool integrations
- ✓Developers optimizing latency-sensitive MCP-based applications
- ✓MCP servers with tools that accept structured parameters (JSON objects, arrays)
- ✓Developers needing deterministic cache behavior across parameter variations
- ✓Teams running MCP servers in production who need visibility into cache performance
- ✓Developers optimizing tool handler performance and tuning TTL values
- ✓MCP servers with tools that have non-deterministic or context-dependent behavior
Known Limitations
- ⚠In-memory cache only — no persistence across server restarts; cache is lost on process termination
- ⚠No distributed caching support — cache is local to a single MCP server instance; multi-instance deployments cannot share cache state
- ⚠TTL is global per tool, not per parameter combination — all cache entries for a tool share the same expiration window
- ⚠No cache invalidation hooks — manual cache clearing requires direct API calls; no event-driven invalidation
- ⚠Memory unbounded by default — no LRU eviction or size limits; long-running servers may accumulate stale entries
- ⚠No built-in support for non-serializable parameters (functions, circular references, Symbols) — custom key generators required
Requirements
Input / Output
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TTL cache wrapper for MCP tool handlers — powered by vurb.
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