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MCP4Modal Sandbox

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Python

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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 11 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap. For example, execute_command runs commands, launch_sandbox creates sandboxes, list_directory_contents lists files, and push_file_to_sandbox transfers files, all serving unique functions within the sandbox management domain. The descriptions clearly differentiate between creation, execution, file operations, and lifecycle management.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (e.g., execute_command, launch_sandbox, list_directory_contents). However, there are minor deviations like pull_file_from_sandbox and push_file_to_sandbox using 'from/to' prepositions, and read_file_content_from_sandbox being slightly verbose compared to others. Overall, the naming is highly readable and predictable.

    Tool Count5/5

    With 11 tools, this server is well-scoped for managing Modal sandboxes. The count covers essential operations like sandbox lifecycle (launch, terminate), file management (read, write, push, pull, list, remove), and command execution, without being excessive. Each tool earns its place by addressing a specific need in the domain.

    Completeness5/5

    The tool set provides complete coverage for sandbox management, including CRUD-like operations: create (launch_sandbox), read (list_sandboxes, read_file_content_from_sandbox, list_directory_contents), update (write_file_content_to_sandbox, push_file_to_sandbox), and delete (terminate_sandbox, remove_path). It also supports execution (execute_command) and file transfer (pull_file_from_sandbox), ensuring no dead ends for agents working with sandboxes.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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