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rsi-ai-platform

rsi-search-pro-mcp

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by rsi-ai-platform
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Python
Hybrid

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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

    A4.1/5.0

    Scored across 15 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, but some overlap exists between 'extract' and 'web_fetch_structured' (both do structured extraction) and between 'web_fetch' and 'web_fetch_structured'. Descriptions help disambiguate, but the similar names and functions could cause confusion.

    Naming Consistency3/5

    Tool names mix conventions: some are simple verbs ('act', 'extract'), some use noun_verb ('pdf_discover', 'web_fetch'), and others are verbose ('web_compare_across_sources', 'pick_authority_domains'). The pattern is not uniform, but names are still readable.

    Tool Count5/5

    With 15 tools, the set is well-scoped for a search and extraction server. Each tool serves a distinct need, and the count is neither too small nor too large for the domain.

    Completeness4/5

    The tool set covers major workflows: browsing, fetching, structured extraction, search, PDF handling, and cross-source comparison. Minor gaps exist, such as lack of support for other document formats or authentication, but core requirements are met.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources