MCP For Claude Marketplace
AI Memory Cost Analyzer

AI Memory Cost Analyzer MCP Connector for Claude

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Estimate and optimize the economic impact of AI conversation memory architectures.

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

This MCP server provides analytical tools to model the costs associated with AI conversation memory. It helps developers and architects understand the trade-offs between context window usage, storage, and retrieval expenses. Use calculate_conversation_runtime_cost to estimate LLM inference costs, calculate_storage_and_retrieval_overhead to model database expenses, and analyze_optimization_opportunities to find the most efficient memory strategy. You can also use simulate_memory_efficiency_tradeoff to visualize how changing window sizes affects your budget.

cost-estimationllm-memorytoken-optimizationai-economicscontext-management

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

calculate_storage_and_retrieval_overhead

Calculate persistent storage and retrieval costs

analyze_optimization_opportunities

Analyze potential cost savings by changing memory strategies

simulate_memory_efficiency_tradeoff

Simulate the tradeoff between window size and cost

calculate_conversation_runtime_cost

Calculate the runtime cost of a conversation based on length and memory strategy

See how to talk to your AI agent using AI Memory Cost Analyzer.

How much will a 50,000 token conversation cost using the full_context strategy if the token price is 0.002 per 1,000 tokens?

The total runtime cost for a 50,000 token conversation using the full_context strategy at $0.002 per 1,000 tokens is $5.00.

I am currently spending $100 on memory. Can I save money by switching from full_context to summarization?

Yes, switching to summarization could reduce your costs by approximately 40% based on your current usage patterns.

What are the storage costs for 1,000,000 tokens in a standard storage tier?

The storage cost for 1,000,000 tokens in the standard tier is $10.00.

You can use `analyze_optimization_opportunities` to compare your current strategy against alternatives like summarization or pruning to identify potential savings.

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