Compare Cloud Costs MCP Server
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- AlicenseNot gradedqualityAmaintenanceEnables AI agents to parse multi-cloud infrastructure-as-code files, query real-time pricing from AWS, Azure, and GCP, and generate cost estimates and comparison reports.27 npmMIT

Synlake MCP Serverofficial
AlicenseAqualityDmaintenanceEnables AI agents to discover, evaluate, and provision cloud infrastructure across AWS, GCP, and Azure with cross-cloud normalization, cost comparisons, and deployable execution kits.53 npmMIT
OptimToken MCPofficial
AlicenseNot gradedqualityAmaintenanceEnables AI assistants to fetch live, dated prices for LLM models and cloud compute instances across providers, compare and recommend models, and estimate monthly costs based on workload-specific token shapes and constraints.MIT- AlicenseCqualityDmaintenanceEnables AI assistants to manage multi-cloud resources (AWS, Azure, GCP) including resource operations, cost analysis, monitoring metrics, and security compliance checks through natural language commands.264 npm2MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to query multi-cloud cost and usage data through a uniform read-only toolset, including cost summaries, trends, budgets, forecasts, and optimization recommendations.MIT
- AlicenseBqualityAmaintenanceEnables AI assistants to provision and manage cloud infrastructure and AI/ML workloads—such as GPUs, nodes, storage, networking, databases, Kubernetes, and training/inference resources—through natural language. It also provides a universal REST tool for authenticated access to the underlying cloud API.4641 npmApache 2.0
TDQS
Scored across 4 tools
Each tool targets a distinct resource: AI model token pricing, cloud infrastructure pricing, full-stack workload estimation, and datacenter compliance. There is mild overlap between compare_cloud_pricing and estimate_workload_architecture since both deal with compute costs, but they operate at different levels of abstraction (raw pricing vs. composed architecture benchmarks) which keeps them separable.
All four tools follow a consistent snake_case verb_noun pattern (search_ai_models, compare_cloud_pricing, estimate_workload_architecture, lookup_datacenter_compliance). The verb choice is clear and predictable across the set.
Four tools is a lean but reasonable surface for a cost-comparison server, with each tool earning its place across distinct resource types. It is slightly thin—one might expect an additional tool for pure region/instance lookup—but nothing redundant is present.
The surface covers AI pricing, cloud pricing, workload estimation, and compliance/region lookup, which addresses the core cost-comparison workflow. Minor gaps exist, such as historical pricing trends or detailed per-instance configuration calculators, but agents can work around these.