Cloud FinOps Analyst MCP Server
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Alternatives to Cloud FinOps Analyst MCP Server
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Related Servers
- AlicenseCqualityDmaintenanceEnables analyzing AWS cloud spending and Bedrock usage through natural language queries using Claude.414MIT No Attribution
- AlicenseNot gradedqualityDmaintenanceEnables natural language analysis of AWS cloud costs, waste audits, and budget insights across multiple profiles and regions.MIT
- FlicenseNot gradedqualityDmaintenanceEnables 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.-
- AlicenseNot gradedqualityCmaintenanceEnables read-only AWS cost exploration, forecasting, and anomaly detection through natural language using user-connected IAM credentials.MIT
- AlicenseAqualityAmaintenanceKubernetes cluster cost analysis and optimization. Query costs, find savings opportunities, get rightsizing recommendations, and analyze pod spend across AKS, EKS, and GKE — directly from Claude612Apache 2.0
- AlicenseCqualityFmaintenanceA 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.4126MIT
TDQS
Scored across 10 tools
Tools are functionally distinct by cloud provider and action, but AWS tools lack a provider prefix (e.g., 'get_cost_summary' vs 'get_azure_cost_summary'), which could cause an agent to misselect if not reading descriptions carefully.
The verb_noun pattern is consistent, but cloud prefixes are applied only to Azure and GCP tools (e.g., 'get_azure_idle_resources') while AWS tools are unprefixed ('get_idle_resources'). This inconsistency makes the naming pattern less predictable.
10 tools is well within the ideal range for a FinOps server. Each tool covers a specific cloud provider and operation (cost summary, idle resources, anomaly detection), making the count appropriate for the domain.
The core FinOps surface (cost, waste, anomalies) is covered for AWS, Azure, and GCP, but tagging compliance is only available for AWS, leaving a notable gap for Azure and GCP users.