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lmwharton/sieve-mcp

by lmwharton
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Python
Remote

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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

    A4.3/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing documents, adding documents, listing deals, running screens, checking status, retrieving results, getting memos, and checking usage. No two tools overlap in functionality.

    Naming Consistency4/5

    All tools share the 'sieve_' prefix, but naming patterns are mixed: some are plain nouns (e.g., sieve_dataroom, sieve_deals) while others use verb_noun (e.g., sieve_dataroom_add). This minor inconsistency prevents a perfect score.

    Tool Count5/5

    With 8 tools, the set covers the full document screening lifecycle without unnecessary duplication. Each tool serves a necessary role, and the count feels appropriate for the domain.

    Completeness4/5

    The tool set covers the primary workflow: add documents, screen, check status, get results, and generate memos. However, it lacks update or delete operations for documents or deals, which could be useful but are not critical for core use.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources