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distill-mcp-v2

by yatinkoul
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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

    A3.6/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a specific input type or operation: token analysis, comparison, distillation for conversations/JSON/logs/responses/schemas, and cache stabilization. No two tools have overlapping purposes.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (e.g., distill_conversation, distill_json). The tool 'compare' is a verb-only exception, but it is still clear and fits the domain.

    Tool Count5/5

    With 8 tools, the server covers token analysis, multiple distillation formats, comparison metrics, and cache optimization. This is well-scoped for the stated purpose without being excessive or insufficient.

    Completeness5/5

    The tool surface provides comprehensive coverage for the domain of token optimization and compression: cost estimation, multi-format distillation, schema reduction, and caching normalization. No obvious gaps are evident.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources