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uruguay-mcp

by Ellweb3
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Python
Remote

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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

    A3.5/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: call_tool for invocation, discover_tools for natural language search, execute_batch for concurrent calls, list_modules for module overview, and plan_query for multi-step planning. No overlap in functionality.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (call_tool, discover_tools, execute_batch, list_modules, plan_query). The naming is predictable and uniform.

    Tool Count5/5

    With 5 tools, the server is well-scoped for a meta-tool that discovers and invokes other data tools. The number feels complete without being excessive.

    Completeness5/5

    The tool surface covers the full workflow: discovering tools (discover_tools), planning multi-step queries (plan_query), invoking individual tools (call_tool), batch execution (execute_batch), and listing available modules (list_modules). No obvious gaps for its stated purpose.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources