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Terraform Engine MCP Server

by asadongit
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Python
Hybrid

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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing tasks, getting task schema, provisioning deployments, checking deployment status, and destroying deployments. No overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with underscores (e.g., list_tasks, provision_task, destroy_deployment), making them predictable and easy to understand.

    Tool Count5/5

    Five tools is an appropriate scope for managing Terraform tasks and their deployments: sufficient to cover listing, schema retrieval, provisioning, status checking, and destruction without being overwhelming.

    Completeness3/5

    The set covers the main lifecycle (create, read, delete) but lacks a tool to list existing deployments, which is a notable gap for agents that need to manage multiple deployments. Additionally, there is no update or modification capability.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources