"AWS Cost and Usage Analysis with Cost Optimization Recommendations" matching MCP servers:

Enables querying AWS Cost and Usage Report data via Amazon Athena for cost-effective and detailed cost analysis.

Read-only AWS cost diagnostic server that enables AI agents to detect idle resources and orphaned assets, surfacing potential savings via boto3 describe calls.

AWS Cost Explorer + Anomaly Detection exposed as MCP tools. Surface unusual spend by service/account/tag, pull cost breakdowns, forecasts, savings recommendations. Read-only IAM — refuses to start if the role can modify resources. Curated by Archimedes Market with a verified Trust Report.

Analyzes AWS Athena query costs by comparing baseline vs spike periods, querying PostgreSQL, and extracting patterns from expensive queries.

Plan AWS disaster recovery budgets conversationally, comparing backup/restore, pilot light, warm standby, and active/active strategies using live Cost Explorer data.

Enables interactive recipe costing and menu-item pricing with deterministic math, including waste and margin calculations, and distinguishes whether figures came from the calculator or the model.

An MCP server for unified cost tracking and analysis across AWS, OpenAI, and Anthropic. It enables users to query expenditures, compare costs across providers, and analyze usage trends through natural language.

Token cost math for LLM API calls: current per-million-token rates for 69 models across 17 providers, with local arithmetic for estimates, comparisons and monthly budgets. Rates are verified and date-stamped.

Lets AI agents estimate the cost and result size of BigQuery and Snowflake queries before they run, then execute them only within per-call byte, row, and dollar bounds. Estimates are labeled with an accuracy tier so agents never over-trust an approximate figure.

Provides read-only visibility into Snowflake warehouse cost and query performance, including credit usage by warehouse, expensive queries, and heuristic right-sizing recommendations.

Integrates Azure Cost Management APIs via MCP, enabling cost queries, forecasts, budgets, and Advisor recommendations through natural language in compatible clients.

Multi-cloud pricing comparison MCP server that enables natural language queries to compare compute, storage, egress, and Kubernetes costs across AWS, Azure, GCP, and OCI.

An MCP server that gives Claude live access to Azure pricing and cost data — retail prices, VM comparisons, reservation analysis, architecture estimates, and actual subscription spend.

Enables AI assistants to query and analyze AWS costs and usage via the Cost Explorer API.

A comprehensive Model Context Protocol server that analyzes AWS costs and provides optimization recommendations by integrating with services like Cost Explorer, Cost Optimization Hub, and Trusted Advisor.

Per-unit cost of 13 back-office tasks done by a person vs by software, in the US, Greece and Ukraine, with an official statistic behind every hourly wage. Bundled data, works offline.

Provides aggregated municipal development costs for US jurisdictions, including impact fees and utility connection charges, enabling AI agents to assess building feasibility quickly.

Enables AI assistants to analyze Azure Data Factory costs, detect waste, and provide optimization recommendations by querying pipeline run metadata and Azure pricing.

Estimates Claude API costs with interactive sliders, live comparison across five models, and returns the selected model to the conversation.

Provides construction cost estimation tools using data from a public Google Sheet for items like concrete, framing, and electrical. It allows users to search items, filter by category, and calculate total project costs including labor and material expenses.