"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.

Enables scanning AWS accounts for cost optimization opportunities by reading resource configurations and pricing data, without making any modifications.

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

Enables building AWS cost estimates from natural language requests and generating formatted Excel reports with real pricing, INR conversion, and best practices.

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.

Enables querying AWS costs and usage data from Claude Desktop through the Cost Explorer API.

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.

A command-line interface and API that allows users to analyze and visualize AWS cloud spending data by enabling Claude to query AWS Cost Explorer through natural language conversations.

Enables analysis of AWS costs and usage through the AWS Cost Explorer API, supporting multi-account architectures with role assumption and cost comparison, forecasting, and anomaly detection.

Tracks AI agent token usage and spending in real time, with budget alerts, per-task cost breakdown, and a visual dashboard.

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.

Estimates Claude API token counts, per-model cost, and prompt-caching break-even without an API key or network.

A local-first, multi-provider cost meter for LLM usage, exposed as MCP tools. Captures every call into a local SQLite ledger and lets any coding agent query spend, compare providers, and get recommendations — no cloud, no account. First-class support for Chinese providers (Qwen, DeepSeek) alongside Anthropic and OpenAI.

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.

Local Cost Guard and runtime guardrails for AI agents in Claude Code.