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Alternatives to GCP MCP

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    Related Servers

    • F
      license
      B
      quality
      C
      maintenance
      Enables managing Google Cloud Platform (GCP) resources through natural language commands, including compute instances, storage, databases, and monitoring.
      56
      -
    • A
      license
      B
      quality
      D
      maintenance
      Enables AI assistants to interact with and manage Google Cloud Platform resources including Compute Engine, Cloud Run, Storage, BigQuery, and other GCP services through a standardized MCP interface.
      1
      6
      MIT
    • A
      license
      B
      quality
      Not graded
      maintenance
      Enables AI assistants to interact with and manage Google Cloud Platform resources including Artifact Registry, BigQuery, Cloud Build, Compute Engine, Cloud Run, Cloud Storage, and monitoring services through a standardized MCP interface.
      1
      MIT
    • A
      license
      C
      quality
      D
      maintenance
      Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
      40
      1
      Apache 2.0
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables managing Google Cloud Platform infrastructure through natural language, including VM deployment, SSH key management, remote command execution, and Terraform infrastructure-as-code operations.
      2
      -

    TDQS

    C2.8/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools have distinct purposes targeting specific GCP services or functions, but 'run-gcp-code' is ambiguous and could overlap with other operations, potentially causing confusion. The other tools are clearly scoped to billing, logging, resource listing, and project selection.

    Naming Consistency3/5

    The naming is mixed with inconsistent patterns: some use verb_noun (e.g., 'list-projects', 'get-logs'), others use noun_verb (e.g., 'run-gcp-code'), and hyphenation varies. While readable, it lacks a uniform convention across all tools.

    Tool Count4/5

    With 9 tools, the count is reasonable for a GCP server, covering key areas like billing, logging, and resource management. It's slightly lean but well-scoped, avoiding bloat while providing essential functionality.

    Completeness3/5

    The toolset covers listing and getting operations well but has notable gaps in CRUD coverage, such as missing create, update, or delete tools for resources like GKE clusters or SQL instances. This could limit agent workflows that require full lifecycle management.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues