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"Terraform Cloud - Managing Cost and Performance" matching MCP servers:

  • A
    license
    A
    quality
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    maintenance
    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.
    31
    29
    5
    Apache 2.0
  • A
    license
    -
    quality
    D
    maintenance
    Enables querying AWS Cost and Usage Report data via Amazon Athena for cost-effective and detailed cost analysis.
    1
    MIT
  • A
    license
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    quality
    C
    maintenance
    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.
    Apache 2.0
  • F
    license
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    quality
    D
    maintenance
    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.
  • F
    license
    A
    quality
    D
    maintenance
    Integrates Azure Cost Management APIs via MCP, enabling cost queries, forecasts, budgets, and Advisor recommendations through natural language in compatible clients.
    9
  • A
    license
    B
    quality
    B
    maintenance
    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.
    10
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    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.
    MIT
  • A
    license
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    quality
    B
    maintenance
    Enables scanning AWS accounts for cost optimization opportunities by reading resource configurations and pricing data, without making any modifications.
    22
    MIT
  • F
    license
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    quality
    D
    maintenance
    Enables AI cost calculation, comparison, and optimization across major providers like Anthropic, OpenAI, Google, Meta, and Mistral. Supports cost estimation, budget-aware model finding, and token estimation through a simple API and MCP integration.
  • A
    license
    A
    quality
    C
    maintenance
    Plan AWS disaster recovery budgets conversationally, comparing backup/restore, pilot light, warm standby, and active/active strategies using live Cost Explorer data.
    3
    MIT No Attribution
  • A
    license
    C
    quality
    D
    maintenance
    Enables access to Usage and Billing APIs for managing accounts, products, meters, plans, and usage reporting. Supports operations like creating products/plans, reporting usage, and retrieving billing information.
    18
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    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.
    7
    3
    MIT
  • F
    license
    -
    quality
    D
    maintenance
    Enables querying and analyzing AWS cost and usage data through the AWS Cost Explorer API. Supports cost comparisons, forecasting, dimension filtering, and cost change driver analysis with streamable HTTP deployment to Amazon Bedrock Agentcore Runtime.
  • F
    license
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    quality
    D
    maintenance
    Enables users to analyze AWS costs, track spending trends, and detect anomalies directly within Claude Desktop using the AWS Cost Explorer API. It provides tools to identify major cost drivers and compare usage across different time periods through natural language queries.
  • A
    license
    A
    quality
    A
    maintenance
    Enables analyzing AWS cloud costs through natural language queries, providing cost summaries, anomaly detection, idle resource identification, rightsizing recommendations, and tagging compliance via Claude.
    10
    9
    MIT