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OpenSTAAD MCP Server

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    Deploy Server
    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

    A4.4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: discovery/guidance (discover_api, read_skills), instance/connection inspection (get_status, list_instances), and execution (execute_code). Although get_status and list_instances both report version/path details, their core purposes—checking a specific connection vs. enumerating running instances—are clearly differentiated by the descriptions.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern: discover_api, get_status, execute_code, list_instances, read_skills. There are no deviations in style or casing.

    Tool Count5/5

    Five tools are well-scoped for an MCP server that bridges to OpenSTAAD via code execution. Each tool serves a necessary part of the workflow: guidance discovery, connection/instance management, and code execution.

    Completeness5/5

    The surface covers the full lifecycle for this server's purpose: discovering API guidance, reading skills, checking connection/status, listing available STAAD.Pro instances, and executing Python against the OpenSTAAD API. No obvious operational gaps remain for the stated domain.

    Maintenance

    ActivityMaintained
    ResponsivenessWithin a week

    Resources