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Laravel AI MCP Server

by pujandan
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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 8 tools

    Disambiguation5/5

    Every tool has a clearly distinct purpose with no ambiguity. The tools target different aspects of documentation retrieval: checklists, design systems, structures, examples, references, templates, specific files, and search. There is no overlap in functionality.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern using snake_case. Each name starts with 'get_' or a similar verb ('read_', 'search_') followed by a descriptive noun, making the set predictable and readable.

    Tool Count5/5

    With 8 tools, the server is well-scoped for its purpose of providing Laravel documentation and resources. Each tool earns its place by covering a specific aspect of documentation retrieval, avoiding bloat or thinness.

    Completeness5/5

    The tool surface is complete for the domain of documentation access, covering all key operations: retrieving specific files, searching, getting structured overviews, examples, templates, and references. There are no obvious gaps that would hinder an agent's workflow.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources