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Smart Coding MCP

by omar-haris
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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

    A4/5.0

    Scored across 6 tools

    Disambiguation4/5

    Most tools have distinct purposes, such as semantic search, indexing, cache management, dependency checking, workspace switching, and status retrieval. However, 'b_index_codebase' and 'c_clear_cache' could be confused since both relate to cache/index management, with overlapping use cases like handling major code changes.

    Naming Consistency2/5

    The naming is inconsistent and chaotic, with no discernible pattern. Tools use prefixes like 'a_', 'b_', etc., which are arbitrary and not descriptive, mixed with descriptive names like 'set_workspace' and 'get_status'. This lack of a consistent verb_noun or other convention makes the set hard to navigate.

    Tool Count5/5

    With 6 tools, the count is well-scoped and appropriate for a semantic coding assistant server. Each tool appears to earn its place by covering distinct aspects like search, indexing, cache, dependencies, workspace, and status, without being overly sparse or bloated.

    Completeness4/5

    The tool set covers core workflows for semantic code search and management, including search, indexing, cache handling, dependency updates, workspace switching, and status checks. A minor gap exists in lacking direct code manipulation tools (e.g., edit or refactor), but agents can likely work around this given the server's focus on search and analysis.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

    Resources