MCP For Claude Marketplace
Agent Memory Tier Calculator

Agent Memory Tier Calculator MCP Connector for Claude

A+

Deterministic memory management engine for agentic memory hierarchies.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a deterministic engine to manage three-tier memory hierarchies for AI agents. It calculates precise promotion, demotion, and eviction flows between Working Memory, Short-Term Memory, and Long-Term Memory. Use calculate_memory_lifecycle to determine tier movements and health status, simulate_retrieval_performance to evaluate latency and hit rates, or optimize_working_memory to find the ideal capacity for a target hit rate.

memory-managementagentic-aioptimizationlatency-simulationtier-management

3 tools expose this connector's capabilities to your AI agent.

calculate_memory_lifecycle

Determines specific movements and current state of all memory tiers

optimize_working_memory

Recommends the ideal Working Memory size

simulate_retrieval_performance

Evaluates the efficiency of the current memory configuration

See how to talk to your AI agent using Agent Memory Tier Calculator.

Calculate the memory lifecycle for my current agent state.

The current tier utilization is: Working 85%, Short-Term 40%, Long-Term 10%. No thrashing risk detected.

What is the average retrieval latency for this access pattern?

The average retrieval latency is 12.5ms with a cache hit rate of 88%.

How much working memory do I need for a 90% hit rate?

To achieve a 90% hit rate, the optimal working memory size is 12,288 tokens.

The system uses a scoring metric combining recency, frequency, and importance. When a tier reaches capacity, the memory with the lowest score is demoted to the next tier or evicted.

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