MCP For Claude Marketplace
AI Search Investment Modeler

AI Search Investment Modeler MCP Connector for Claude

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Calculate infrastructure costs, latency impact, and relevance gains for AI-powered search enhancements.

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

This MCP server provides a specialized financial and performance modeling suite for AI-powered search. It allows agents to model the complex relationship between search infrastructure costs and user experience improvements. Use calculate_infrastructure_investment to determine monthly spend on storage and embeddings, estimate_latency_impact to predict user wait times, and evaluate_relevance_gain to quantify the quality lift from semantic search or reranking. Finally, use get_optimization_recommendations to receive strategic advice on balancing cost, performance, and relevance.

searchinfrastructureailatencycost-modeling

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

calculate_infrastructure_investment

Determines the total monetary cost of the search setup

estimate_latency_impact

Predicts how much of the user's time budget will be consumed by the proposed search stack

evaluate_relevance_gain

Calculates the estimated value or quality lift provided by the enhancements

get_optimization_recommendations

Provides strategic advice on where to cut costs or where to invest for better performance

See how to talk to your AI agent using AI Search Investment Modeler.

What will it cost to run a search system with 1,000,000 queries per month and a 50GB index with semantic search enabled?

The estimated monthly infrastructure cost for your search setup is $450.00, consisting of $120.00 for storage, $180.00 for embeddings, and $150.00 for compute.

How much latency will adding reranking add to my search stack?

Adding an AI reranker is expected to increase your estimated latency by 150ms, leaving you with 350ms of your remaining budget.

How much relevance improvement can I expect if I enable hybrid search and reranking?

Enabling both hybrid search and reranking will provide a significant relevance score boost, resulting in an improvement multiplier of 2.4x.

The `calculate_infrastructure_investment` tool calculates costs by summing the storage for the index, the cost of generating embeddings for the specified index size, and the compute costs for processing the monthly search volume.

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