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Alternatives to cloud-finops-mcp

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to query and, when scoped writes are enabled, manage cloud estate data—inventory, costs, recommendations, schedules, governance, and deployments—across AWS, Azure, and GCP through a hosted remote MCP endpoint.
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to query multi-cloud costs, inventory, waste, and commitments across AWS, GCP, Cloudflare, and OVH through read-only MCP tools.
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables 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
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables governed, read-only SQL analytics, hybrid RAG knowledge search, financial metric calculation, and database schema introspection through MCP, with role-based access control, audit logging, and AI observability.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to analyze cloud billing data in FOCUS format through natural language queries. Provides 36+ predefined cost analysis queries, custom SQL execution, and schema documentation for multi-cloud cost optimization and FinOps practices.
      132 PyPI
      12
      Apache 2.0

    TDQS

    A4.6/5.0

    Scored across 6 tools

    Disambiguation4/5

    The six tools form two clean triplets (references and playbooks), each split into list/find/get with distinct roles, and the descriptions explicitly steer callers between list_* and find_* based on whether filters are known. The only residual overlap is that list_references and find_references return the same payload shape and find with no filters behaves like list, but the guidance on when to use each is unusually clear.

    Naming Consistency5/5

    All six tools follow a strict verb_noun pattern (list_references, find_references, get_reference, list_playbooks, find_playbooks, get_playbook), and the verb choice is semantically consistent across both resource families. Plural for collection operations and singular for single-item fetches is applied uniformly.

    Tool Count5/5

    Six tools is well-scoped for a read-only guidance library: two resources times three access patterns, with no redundant or speculative endpoints. Every tool has a clear, earned place in the workflow.

    Completeness4/5

    Discovery (list), faceted search (find) and retrieval with section-level granularity (get) cover the read-only lifecycle for both references and playbooks, including miss-recovery via suggestions and available_sections. Minor gaps: no cross-corpus search spanning references and playbooks at once, and no standalone way to enumerate a reference's headings without triggering a section miss.

    Maintenance

    ActivityActive
    ResponsivenessSlow