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gemini2026

Documentation Search MCP Server

by gemini2026

get_cache_stats

Retrieve cache usage statistics to monitor performance and optimize resource allocation in the Documentation Search MCP Server.

Instructions

Get statistics about the current cache usage.

Returns:
    Dictionary with cache statistics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The main handler function for the 'get_cache_stats' MCP tool. It checks if caching is enabled and returns detailed statistics from the SimpleCache instance, including persistence info.
    @mcp.tool()
    async def get_cache_stats():
        """
        Get statistics about the current cache usage.
    
        Returns:
            Dictionary with cache statistics
        """
        if not cache:
            return {"enabled": False, "message": "Caching is not enabled"}
    
        stats = await cache.stats()
        details = {
            "enabled": True,
            **stats,
        }
        details["persistence"] = {
            "enabled": cache.persistence_enabled,
            "path": cache.persist_path,
        }
        return details
  • The 'stats' method of the SimpleCache class, which computes and returns the cache statistics used by the get_cache_stats tool.
    async def stats(self) -> Dict[str, Any]:
        async with self._lock:
            expired_count = sum(
                1
                for entry in self.cache.values()
                if self._is_expired(entry["timestamp"])
            )
            return {
                "total_entries": len(self.cache),
                "expired_entries": expired_count,
                "active_entries": len(self.cache) - expired_count,
                "max_entries": self.max_entries,
                "ttl_hours": self.ttl_hours,
                "memory_usage_estimate": f"{len(str(self.cache)) / 1024:.2f} KB",
            }
  • The @mcp.tool() decorator registers the get_cache_stats function as an MCP tool.
    @mcp.tool()

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