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Facets-cloud

Facets Module MCP Server

by Facets-cloud

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      Enables AI agents to query an approved Terraform module registry and generate compliant Azure infrastructure code. It provides tools for module discovery, scaffolding, and validation against organizational standards.
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    TDQS

    A3.6/5.0

    Scored across 30 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, especially the write_* family which is carefully partitioned by file type. A few clusters (output type queries, file-writing helpers) could cause initial confusion, but their descriptions resolve the boundaries.

    Naming Consistency4/5

    Naming is mostly consistent snake_case verb_noun: write_resource_file, list_all_intents, check_deployment_status, validate_module. A few odd exceptions like push_preview_module_to_facets_cp, test_already_previewed_module, and FIRST_STEP_get_instructions break the pattern.

    Tool Count2/5

    30 tools is above the 25+ threshold and feels heavy for an MCP surface. The scope is broad, but several write, list, and query helpers could likely be consolidated.

    Completeness4/5

    The module lifecycle is well covered: instructions, file read/write, generation, forking, validation, import, preview, publish, and test. Minor gaps like missing delete/update operations for intents and output types prevent a perfect score.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues