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local-delegate

by ZahiriNatZuke
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Python
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    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

    A4.2/5.0

    Scored across 11 tools

    Disambiguation3/5

    Most tools are clearly distinct (classify, summarize, extract, boilerplate, commit_msg, translate, explain_code, describe_image, status), but local_delegate is a generic escape that overlaps with all others, and local_summarize vs local_lint_summary both summarize with grouping/counts, though their input domains differ. The overlap is acknowledged but could still cause selection ambiguity.

    Naming Consistency4/5

    All tools follow a consistent 'local_' prefix with a clear verb_noun pattern (classify, summarize, extract, boilerplate, delegate, lint_summary, commit_msg, translate, explain_code, describe_image, status). Minor inconsistency: local_lint_summary and local_commit_msg are noun-first rather than verb-first, but the pattern is otherwise consistent.

    Tool Count4/5

    11 tools is within the ideal 3-15 range and each tool serves a distinct purpose, though the generic local_delegate could arguably be merged or removed since it duplicates the others. The count is reasonable for a local model delegation server.

    Completeness4/5

    The server covers a broad range of local model tasks (text classification, summarization, extraction, code generation, lint summary, commit messages, translation, code explanation, image description) with a generic fallback. Minor gaps: no tool for local model chat or text generation beyond transformation tasks, and no tool for editing/generation of images (explicitly out of scope). Overall, the surface is well-suited to its purpose.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

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