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Agentic AI with MCP

by dev484p
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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

    B3.1/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: internet_search uses Tavily API for general web searches, wiki_search targets Wikipedia articles specifically, and yahoo_finance_search focuses on stock information from Yahoo Finance. There is no overlap in functionality or ambiguity between these three tools.

    Naming Consistency5/5

    All tool names follow a consistent snake_case pattern with a clear verb_noun structure: internet_search, wiki_search, and yahoo_finance_search. The naming is uniform and predictable across the entire set.

    Tool Count3/5

    With only 3 tools, the server feels thin for the broad domain implied by 'Agentic AI with MCP', which suggests a more comprehensive set of capabilities. While each tool is distinct, the count is borderline low for typical agentic AI tasks that might require more varied operations.

    Completeness2/5

    The tool surface is severely incomplete for an 'Agentic AI' server, as it only provides search functionalities without any CRUD operations, data processing, or other AI-related actions. There are significant gaps that will limit agent effectiveness, such as missing tools for data manipulation, analysis, or interaction with AI models.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources