aws-billing-mcp
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- FlicenseNot gradedqualityAmaintenanceEnables users to query AWS spending and Amazon Bedrock usage in natural language through MCP clients, with breakdowns by service, region, day, model, and user, plus optional cross-account access.-
- FlicenseNot gradedqualityAmaintenanceEnables natural-language querying and visualization of cloud spending and Bedrock model invocation usage through MCP clients, with breakdowns by service, day, region, instance type, user, and model, including optional cross-account access.-
- FlicenseNot gradedqualityAmaintenanceEnables users to query AWS cost and usage data, run waste and savings audits, and monitor budgets through natural-language prompts in MCP-compatible clients. It keeps AWS credentials local and supports multi-profile and multi-region analysis.-
- FlicenseNot gradedqualityAmaintenanceEnables users to query and analyze AWS cloud costs, audit for waste, and monitor budgets through natural language in MCP-compatible AI assistants, while keeping AWS credentials local.-
- FlicenseNot gradedqualityAmaintenanceEnables natural-language analysis of AWS spend through Cost Explorer and Amazon Bedrock usage via CloudWatch model invocation logs, with breakdowns by service, region, model, user, day, and instance type. It also supports cross-account cost retrieval and local or remote MCP transports.-
- FlicenseNot gradedqualityAmaintenanceEnables users to query AWS cloud costs, run waste and savings audits, and check budget status in natural language across multiple accounts, profiles, and regions. Runs locally using existing AWS CLI credentials, keeping them on the user's machine while connecting to MCP-compatible AI clients.-
TDQS
Scored across 7 tools
Each tool serves a distinct purpose: querying cost/usage, discovering dimension values, forecasting, detecting anomalies, listing budgets, managing cost allocation tags, and checking commitment utilization. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern in snake_case, using retrieval verbs like get_ and describe_. The pattern is uniform across the set, making it predictable for an agent.
With 7 tools, the server is well-scoped for its purpose of AWS billing and cost analysis. Each tool addresses a key aspect of cost management without being bloated or sparse.
The tool surface covers the core cost management workflows: historical analysis, forecasting, anomaly detection, budget tracking, tag discovery, and commitment utilization. There are no obvious dead ends or missing critical operations for a read-only billing server.